A Showcase of Viewing Persistent Issues Through …


The Four Quadrant Framework and The Onion Lenses

The Structures Beneath the Surface: Why Persistent Problems Don’t Stay in Their Lane

When a country’s unemployment rises, the response is usually a labour policy. When food imports climb, agricultural reform gets discussed. When corruption surfaces, governance fixes are proposed. When mental health deteriorates, healthcare budgets get adjusted. Each problem gets its own lane, its own ministry, its own set of experts.

The trouble is that the problems don’t stay in their lanes.

This piece is drawn from a study that began with unemployment and gradually widened — because it had to. The more the data was examined, the more the pressures refused to stay separate. Labour oversupply showed up alongside weakened productive absorption. Educational expansion appeared alongside declining technical capability. Agricultural decline appeared alongside migration pressures and weakening generational continuity. The harder you looked at any one pressure, the more the others were already there beneath it.

What emerged from that widening is a framework for understanding how persistent issues actually move through society — not as isolated events requiring targeted fixes, but as interacting structural movements that propagate across generations, often long before anyone measures them.


The Gap Between Where Problems Appear and Where They Begin

The most important distinction in this entire framework is deceptively simple: the visible location of a problem and the generative location of a problem are not the same thing.

Take corruption. It becomes visible institutionally — in tender processes, in allocation decisions, in procurement scandals. But its behavioural roots often emerge much earlier: in weakened long-horizon thinking, in survival pressures normalised during upbringing, in the gradual acceptance of shortcuts within wider society. By the time it registers as a governance problem, the conditions producing it may have been quietly accumulating for a generation.

Or take institutional fragmentation. It appears within governance systems. But its deeper roots frequently emerge upstream in weakening continuity structures within human formation — in how people are raised, what values are transmitted across generations, how long-term thinking is cultivated or eroded.

Societies often intervene where pressures become visible rather than where they are structurally generated. This is not a failure of intelligence. It is a predictable consequence of how institutions are organised: by sector, by ministry, by profession. The problem is that persistent issues rarely respect those boundaries.


A Framework for Seeing Across Sectors

To organise the growing number of interacting variables without fragmenting their relationships, the study developed a four-quadrant framework. The quadrants are not rigid categories — they are lenses, each revealing where pressures are primarily generated, where they tend to become visible, and how they flow.

H-H — Human Formation The formation of capability, behaviour, discipline structures, educational orientation, labour identity, and long-horizon thinking.

H-N — Ecological & Biological Resilience Land, water, climate systems, food systems, biological resilience, and ecological carrying capacity.

H-E — Productive Economic Capacity Agriculture, manufacturing, productive enterprise formation, labour absorption, value creation systems, and infrastructure.

H-G — Institutional Allocation & Execution Governance systems, policy allocation, land administration, institutional coordination, investment priorities, and societal response mechanisms.

These four quadrants interact continuously. A pressure emerging in human formation may eventually surface economically through weakened productivity. Ecological pressures may become visible institutionally through fiscal strain or migration surges. The framework doesn’t try to eliminate that complexity — it tries to make it navigable.


The Onion: A Sequence of Systemic Behaviours

As the study widened, recurring structural behaviours kept surfacing — not randomly, but in recognisable patterns that systems thinkers call archetypes. What became increasingly clear was that these archetypes were not independent of one another. The pressures generated within one archetype appeared capable of tipping variables into the conditions required for the next one to emerge.

This gave rise to what the study calls the Onion framework: a causally linked sequence of system archetypes that describes how unresolved pressures tend to propagate through society over time.

The sequence is:

Accidental Adversaries (AA) → Escalation (Esc) → Growth & Underinvestment (G&U) → Success to the Successful (StS) → Shifting the Burden (StB) → Fixes that Fail (FtF) → Drifting Goals (DG) → Limits to Growth (LtG) → Tragedy of the Commons (ToC) → back to Accidental Adversaries (AA)

This is not a deterministic cycle. Human societies are adaptive, relational, and capable of renewal at any point. The Onion is better understood as a propagation-awareness framework — a way of seeing how pressures tend to move if underlying structures go unaddressed for long enough.

The sections that follow walk through each quadrant, showing the variables at play, which archetypes dominate, and where the pressures flow.


H-H — Human Formation

Dominant archetypes: Drifting Goals → Fixes That Fail (with Shifting the Burden emerging later)

Many pressures that later become visible economically or institutionally have earlier formative roots in how people are raised, educated, and shaped. The weakening of long-horizon thinking, practical capability formation, productive identity, and disciplined stewardship often appears upstream of much that later shows up in labour systems, governance, and enterprise.

The study also found that some adaptive behaviours emerging under difficult conditions temporarily relieve immediate pressure while simultaneously weakening long-term regenerative capability. Survival-oriented economic behaviour, opportunistic adaptation, weakened delayed gratification — these emerge gradually under sustained systemic stress. Short-term adaptation and long-term continuity do not always move in the same direction.

VariableGenerated InDominant ArchetypeDetected InConsequence Flows Into
Births outside stable marriagesH-HDGH-HH-H → H-E → H-G
Male absence in householdsH-HFtFH-HH-H → H-G
Weak masculine continuityH-HFtFH-HH-E → H-G
Weak intergenerational transferH-HFtFH-HH-E
Weak long-horizon thinkingH-HDGH-HAll quadrants
Emotional instability environmentsH-HFtFH-HH-N → H-E
Survival-oriented upbringingH-HStBH-HH-E
STEM avoidanceH-HDGH-H / H-EH-E → H-G
Fear of mathematically intensive disciplinesH-HDGH-HH-E
Office-job orientationH-HStBH-EH-E → H-G
Credential accumulation mentalityH-HFtFH-EH-E
Theory-heavy educationH-HFtFH-H / H-EH-E
Weak apprenticeship systemsH-HFtFH-EH-E
Weak practical applicationH-HFtFH-EH-E
Weak technical competencyH-HDGH-EH-E → H-G
Reduced deep work capabilityH-HDGH-HH-E
Labour oversupplyH-ELtGH-EH-G
Graduate oversupplyH-HFtFH-EH-E → H-G
UnderemploymentH-ELtGH-EH-G
Survival psychologyH-HStBH-HH-E → H-G
Status signallingH-HEscH-HH-E
Visibility competitionH-HEscH-HH-G
Side-hustle normalizationH-H / H-EStBH-EH-G
Opportunistic adaptationH-HStBH-GH-G
Rule-bending normalizationH-HDGH-GH-G
Penal-code proximityH-H / H-EToCH-GH-G
Drift toward organized crimeH-H / H-EToCH-GH-G

What the table reveals is that pressures appearing later in labour, governance, and productive systems often have earlier roots in formation structures. Human formation pressures rarely remain confined to the quadrant in which they originate.


H-N — Ecological & Biological Resilience

Dominant archetypes: Limits to Growth → Tragedy of the Commons (with Accidental Adversaries and Shifting the Burden transitional)

Human societies don’t operate independently from the biological and ecological conditions that sustain them. Productive systems, migration patterns, food systems, labour systems, and institutional pressures are all shaped by ecological carrying capacity over long periods.

A critical distinction surfaced here: survival adaptation and regenerative reversal are not the same process. Drought-resistant crops, low-water agricultural systems, and survival-oriented production methods may help populations endure worsening conditions. But enduring deterioration and reversing the underlying trajectory that produces it are fundamentally different things. Some systems successfully help societies survive decline while simultaneously failing to address what is causing it.

VariableGenerated InDominant ArchetypeDetected InConsequence Flows Into
Declining rainfall systemsH-NLtGH-NH-E
Increasing drought frequencyH-NLtGH-NH-E
Extreme weather intensificationH-NLtGH-NAll quadrants
Reduced carrying capacityH-NLtGH-NH-E → H-G
Soil degradationH-NToCH-NH-E
Water stressH-NLtGH-N / H-GH-E → H-G
Indigenous drought-resistant systemsH-NAAH-NH-E
Low-water survival agricultureH-NStBH-NH-E
Weak ecological reversal systemsH-NToCH-NH-E
Weak evapotranspiration restorationH-NToCH-NH-N
Weak biodiversity regenerationH-NToCH-NH-E
Weak landscape restorationH-NToCH-NH-E
Declining agricultural profitabilityH-E / H-NLtGH-EH-G
Aging farmersH-H / H-NLtGH-EH-E
Weak generational farming continuityH-HFtFH-EH-E
Youth agricultural disengagementH-HDGH-EH-E
Male migration into mining systemsH-N / H-EEscH-EH-H
Rising food importsH-EStBH-GH-G
Reduced food sovereigntyH-N / H-EToCH-GH-G
Climate vulnerabilityH-NLtGH-GAll quadrants
Childhood nutrition weaknessesH-NLtGH-NH-H
Processed food dependencyH-NStBH-NH-H
Micronutrient deficienciesH-NLtGH-NH-H
Reduced cognitive resilienceH-NLtGH-HH-H
Emotional regulation instabilityH-NLtGH-HH-H
Chronic disease riseH-NToCH-NH-E
DiabetesH-NToCH-NH-E
HypertensionH-NToCH-NH-E
Fatigue economiesH-NLtGH-EH-E
Mental health deteriorationH-NLtGH-HH-E
Reduced productive lifespanH-NLtGH-EH-G
Ecological commons depletionH-NToCH-GH-G

Notice how biological resilience flows into educational performance, labour productivity, and institutional behaviour. Nutrition quality, cognitive resilience, emotional regulation stability — these are not soft concerns. They shape the productive and institutional capacity of entire societies over time.


H-E — Productive Economic Capacity

Dominant archetypes: Growth & Underinvestment → Escalation → Accidental Adversaries (with Shifting the Burden emerging later)

Economic weakness, as the study increasingly revealed, is rarely a standalone financial event. It tends to emerge as the interacting outcome of human formation pressures, ecological pressures, institutional allocation patterns, and productive underinvestment accumulating simultaneously over long periods. Productive systems inherit conditions from multiple upstream structures at once.

The study drew a sharpening distinction between productive enterprise formation and survival circulation systems. Some economic activity creates productive depth, technical capability, value addition, and long-term labour absorption. Other activity primarily circulates limited value within already constrained systems. Over time, the expansion of survival-oriented circulation — retail growth, import dependency, multi-income hustle strategies — can help societies adapt temporarily while steadily weakening their capacity to generate new productive depth.

VariableGenerated InDominant ArchetypeDetected InConsequence Flows Into
Weak agricultural reinvestmentH-EG&UH-EH-G
Weak manufacturing ecosystemsH-EG&UH-EH-G
Weak industrial deepeningH-EG&UH-EH-G
Weak engineering ecosystemsH-H / H-EG&UH-EH-G
Weak research ecosystemsH-H / H-EG&UH-EH-G
Weak agricultural financingH-G / H-EG&UH-EH-G
High capital barriersH-GG&UH-EH-H
Weak agricultural bankingH-GG&UH-EH-E
Weak enterprise incubationH-GG&UH-EH-E
Retail profitability dominanceH-EEscH-EH-G
Import-based circulation economyH-EStBH-E / H-GH-G
Government-employment prestigeH-H / H-GStSH-EH-H
Tenderpreneurship expansionH-GStSH-EH-G
Investments shifting to circulationH-EEscH-EH-G
Productive labour shifting to retailH-EEscH-EH-H
Administrative expansion without productionH-GFtFH-EH-G
Reduced productive entrepreneurshipH-H / H-EG&UH-EH-G
Small-scale survival businessesH-EStBH-EH-G
Weak scaling capabilityH-EG&UH-EH-G
Weak value-chain integrationH-EAAH-EH-G
Import dependencyH-EStBH-GH-G
Weak local value additionH-EG&UH-EH-G
Weak industrial competitivenessH-ELtGH-EH-G
Reduced labour absorptionH-ELtGH-EH-H
Informal circulation systemsH-EStBH-EH-G
Multi-income survival systemsH-H / H-EStBH-EH-G
Short-horizon enterprise behaviourH-HDGH-EH-G
Declining productivity per workerH-ELtGH-EH-G
Labour dilution into low-value sectorsH-EEscH-EH-G
External energy dependencyH-ELtGH-GH-G
Weak industrial infrastructureH-GG&UH-EH-G
Electricity fragilityH-G / H-NLtGH-EH-G
Rising production costsH-E / H-NLtGH-EH-G

What the productive quadrant reveals most clearly is that economic outcomes are downstream of structural conditions across multiple layers simultaneously. You don’t fix a hollow productive economy by targeting the economy alone.


H-G — Institutional Allocation & Execution

Dominant archetypes: Escalation → Success to the Successful → Shifting the Burden (with Tragedy of the Commons emerging later)

Governance systems sit in a uniquely difficult position. They are both detectors and responders to pressures generated across the entire civilisational structure. They are asked to stabilise labour pressures, ecological pressures, productive weakness, social fragmentation, and rising instability — often simultaneously — using policy allocation, resource distribution, welfare mechanisms, and political coordination.

The problem is that institutions themselves begin adapting under sustained pressure. Short political cycles, fragmented coordination, symptomatic policy responses, and expanding administrative management systems emerge progressively. Institutions start adapting to the pressure rather than resolving the structures generating it. Some governance responses — welfare expansion, import dependency management, reactive policy cycles — temporarily relieve immediate instability while reinforcing deeper structural dependencies. Short-term stabilisation and long-term regeneration are not the same thing institutionally.

VariableGenerated InDominant ArchetypeDetected InConsequence Flows Into
Short political cyclesH-HStSH-GH-G
Weak long-term planningH-HStSH-GAll quadrants
Weak civilizational horizon thinkingH-HStSH-GAll quadrants
Political responsiveness over structural investmentH-GStSH-GH-E
Fragmented ministriesH-HStSH-GH-G
Weak systems integrationH-HStSH-GAll quadrants
Weak policy continuityH-HStBH-GH-G
Repeated policy resetsH-GStBH-GH-G
Resource leakageH-HStBH-GH-G
CorruptionH-HStBH-GH-G
Patronage systemsH-GStSH-GH-G
Tenderpreneurial incentivesH-GStSH-GH-E
Land bankingH-H / H-EStSH-GH-E
Elite accumulationH-EStSH-GH-G
Weak youth accessH-GStSH-GH-H / H-E
Delayed productive deploymentH-GStBH-GH-E
Corrupt allocation systemsH-HStBH-GH-G
Underinvestment in STEMH-HStSH-GH-H / H-E
Underinvestment in regenerative agricultureH-NStSH-GH-N
Underinvestment in water systemsH-NStSH-GH-N
Underinvestment in manufacturing ecosystemsH-EStSH-GH-E
Underinvestment in apprenticeship systemsH-HStSH-GH-H
Welfare dependenceH-H / H-EStBH-GH-H
Youth grants without ecosystemsH-GStBH-GH-H / H-E
Import dependency managementH-EStBH-GH-E
Administrative expansionH-GStBH-GH-G
Retail licensing expansionH-EStBH-GH-E
Distrust in productive effortH-HStBH-GH-H
Rule-bending normalizationH-HStBH-GH-H
Reduced civic cohesionH-HStSH-GH-H
Institutional fatigueH-H / H-GStBH-GH-G
Ecological depletionH-NToCH-GH-N
Fiscal depletionH-EToCH-GH-G
Institutional depletionH-GToCH-GH-G
Governance legitimacy stressAll quadrantsToCH-GAll quadrants
Reduced long-horizon coordination capacityH-HToCH-GAll quadrants
Reduced regenerative capabilityH-N / H-EToCH-GAll quadrants
Increased systemic fragilityAll quadrantsToCH-GAA restart

The governance quadrant is where the accumulated pressures of human formation, ecological resilience, and productive capacity all converge and become measurable. It is, in a sense, the final detection layer — but rarely the origin of what it’s detecting.


The Quadrants in Motion

The four quadrants don’t operate in sequence. They interact continuously. Human formation shapes ecological stewardship. Ecological conditions reshape productive systems. Productive systems influence governance behaviour. Governance responses influence educational orientation, economic adaptation, and long-term societal behaviour in return.

This continuous interaction means pressures rarely stay contained where they first emerge. Declining ecological resilience propagates later into labour migration, food imports, fiscal strain, and institutional fatigue. Weak productive absorption propagates later into household stability, psychological adaptation, educational orientation, and governance pressure.

This is also why some interventions produce only temporary relief. If societies continuously intervene where pressures become visible while neglecting where they are structurally generated, many conditions gradually re-emerge elsewhere. The structure keeps producing what it was always structured to produce.


Interconnected Pressures, Interconnected Leverage

One of the most important observations to emerge from this study is that interconnected systems carry both interconnected pressures and interconnected possibilities for renewal.

Strengthening long-horizon human capability formation may later influence productive behaviour, institutional resilience, educational orientation, labour absorption, and governance quality simultaneously. Strengthening regenerative ecological systems may later influence food resilience, migration pressure, biological resilience, productive continuity, and fiscal stability. Strengthening productive capacity may later influence family stability, psychological adaptation, institutional pressure, and long-term societal confidence.

This doesn’t mean persistent issues yield to simple single-point interventions — human societies are too complex and historically layered for that. But it does suggest that long-term regenerative movement becomes more possible when societies start seeing the interacting structures beneath visible realities rather than treating each pressure as a standalone problem. The ability to perceive interrelationships may itself be part of the intervention.


Closing: What Persistent Unemployment Actually Reflects

Persistent unemployment may represent more than the absence of jobs. It may reflect simultaneous movements in human formation, ecological systems, productive systems, and institutional structures over long periods of time — educational orientation, ecological resilience, labour absorption, governance adaptation, social continuity, and psychological adaptation all interacting more closely than they appear when examined separately.

Organisations will continue managing themselves through sectors, departments, and ministries — that operational logic has its own validity. But persistent issues don’t respect those boundaries. They move across them, reinforce themselves through them, and reveal the same underlying structures expressing themselves differently in different parts of society.

The challenge isn’t only to solve isolated problems more efficiently. It’s to develop the capacity to see the interacting structures beneath them — patiently, coherently, and across generations. That capacity for systemic perception may be one of the most important things a society can cultivate.


A Discovery Pedagogy for Systems Thinking by STRLDi



From Pattern Recognition to Structural Insight

The exchange that unfolded in the group illustrates something important about how people actually learn systems thinking. Contrary to how the discipline is often taught, people do not first need definitions, diagrams, or lectures about system archetypes. They need something far simpler.

They need to see a pattern that reflects their lived reality.

Once the pattern becomes visible, curiosity opens, and people begin asking structural questions on their own. What happened in the conversation therefore provides a natural template for a discovery-based pedagogy.

The learning process unfolds through a sequence of stages.


Stage 0 – Before Entering the Door

Park Your Reasoning at the Door

Before the graph is discussed, the facilitator establishes a simple but important discipline:

“For the moment, park your reasoning at the door.”

This instruction is not an attempt to suppress thinking. It does the opposite. It temporarily suspends premature explanation, allowing participants to look at the graph without immediately imposing familiar narratives or policy arguments on it.

Most people, especially professionals and policymakers, are trained to move quickly to interpretation. They begin explaining what the graph means before they have actually seen the pattern.

The instruction to park reasoning at the door creates a pause.

In that pause, participants are invited to simply observe.

▪ Look at the shape of the line.
▪ Notice whether the pattern is stable or volatile.
▪ Observe the behaviour over time.

Only after this observational step does interpretation begin.

This discipline matters because the human mind often rushes to defend existing explanations. When reasoning dominates too early, the pattern itself disappears beneath competing arguments.

By briefly suspending explanation, the facilitator allows participants to encounter the pattern directly.

Once the pattern becomes visible, reasoning can return — but now it is anchored in what has been seen, not in what was previously assumed.


In your conversation, this move appears in spirit when you guide the group to see the graph first, before discussing structures such as productive sectors, GDP expansion, or shifting the burden.

It is a small instruction, but it performs an important function: it protects the integrity of observation, which is the foundation of systems thinking.


If we refine this pedagogy further, Ms Sheila Damodaran, this opening discipline could actually become the signature entry point of the STRLDi method.

It would read something like:

STRLDi Rule #1: See Before You Explain.

And interestingly, this is exactly the opposite of how most policy discussions currently begin.

Stage 1

Start With a Graph That Reflects Reality

Learning begins with a Behaviour Over Time (BOT) graph.

In your case, the graph showed the pattern of persistent unemployment. Importantly, the graph was not introduced with explanation or theory. It was simply placed in front of the group.

The opening question was disarmingly simple:

“What do you notice?”

This move shifts the participants into the role of observers rather than recipients of knowledge. The conversation immediately becomes exploratory rather than instructional.

At this stage, the facilitator’s role is not to explain but to slow the group down long enough for them to see.


Stage 2

Recognition — Matching the Pattern to Lived Experience

Once the graph is presented, participants begin to recognise that the pattern reflects something they already experience in everyday life.

This step matters because people cannot engage meaningfully with ideas that feel far removed from their reality.

When the pattern resonates with lived experience, credibility emerges.

In the conversation, participants recognised that unemployment was not simply fluctuating randomly from year to year. Instead, the line revealed a persistent pattern over time.

That recognition creates a shift:

Before RecognitionAfter Recognition
A technical graphA reflection of reality
Numbers over timeA social pattern
Abstract dataA lived condition

From that moment onward, the group is no longer analysing data. They are examining the structure of their own society.


Stage 3

Pattern Literacy

After recognition comes pattern literacy.

Participants begin to examine the shape of the line rather than the individual numbers.

Questions at this stage remain observational:

▪ Is the line random or persistent?
▪ Does it move dramatically or remain stable?
▪ What might produce such stability over time?

The insight slowly emerges that persistent patterns rarely arise from isolated events. They usually reflect structural conditions operating beneath the surface.

This is where systems thinking quietly begins to appear.


Stage 4

From Pattern to Structure

Once the group recognises that the pattern is persistent, the conversation naturally turns toward structure.

The key question becomes:

What kind of systemic structure produces a pattern like this? Please refer here for the full list.

At this point, the conversation in the group revealed a critical insight: job creation belongs primarily to productive sectors, not merely to sectors that inflate GDP figures.

Participants begin to see that an economy dominated by consumption, retail, or financial expansion may increase GDP without significantly increasing employment.

The graph therefore becomes a bridge between pattern recognition and structural understanding.


Stage 5

The Flip — Revealing Possibility

The most powerful moment in the discussion occurred when the graph was flipped.

The underlying data did not change. Only the perspective changed.

What had previously been interpreted as persistent unemployment could now be viewed as the missing path toward consistent full employment.

This move introduces possibility while remaining grounded in the same empirical pattern.

It prompts a new question:

What structural conditions would produce the flipped outcome?

This moment is crucial because it expands imagination without abandoning realism.


Stage 6

Archetype Recognition — Shifting the Burden

Once the structural discussion begins, participants are ready to recognise systems archetypes.

In this case, the archetype of Shifting the Burden becomes visible.

Instead of strengthening the sectors capable of absorbing labour at scale, societies often respond to unemployment through short-term measures:

  • government employment expansion
  • welfare support
  • retail growth
  • financial redistribution
  • crime controls

These responses temporarily relieve the symptoms but do not address the underlying structural drivers of job creation.

Participants therefore begin to see that the issue is not simply unemployment itself but the system’s habitual response to unemployment.


Stage 7

Discovery Ownership

The final stage in the pedagogy is psychological.

Participants begin to feel that the insight belongs to them.

This was clearly expressed in Thabiso’s reflection when he described feeling guided through the process while still owning the discovery.

That moment matters.

When people arrive at insights themselves, they do not experience the learning as external instruction. They experience it as personal understanding.

This is what turns systems thinking from an academic framework into a civic capability.


Why This Pedagogy Matters

What the conversation revealed is that systems thinking can spread through populations much faster than is often assumed.

The critical ingredient is not technical expertise. It is pattern literacy.

When citizens learn to recognise persistent patterns and ask structural questions, public conversations begin to shift away from debating symptoms toward understanding the structure of the system itself that generates (controls) the patterns.

As your conversation illustrated so clearly:

Sometimes all it takes is simply seeing the graph.


I Can Sleep When the Wind Blows: What Botswana’s Horticulture Needs Beyond Funding & Allocations



There is an old parable titled “I Can Sleep When the Wind Blows.”

I Can Sleep When the Wind Blows | Shayne M. Bowen | 2018

A farmer hires a young hand. Each night, no matter the weather, the young man goes to bed early. When a storm finally breaks, the farmer panics. He runs to check the fields. However, he discovers that the barn doors are fastened. The tools are secured. The animals are sheltered. The hay is tied down. Everything had been prepared. The young man could sleep when the wind blew, because his work was already in order.


Budgets without backbone

Currently, I observe the following trends in the country. All governments, past and present, have focused mainly on budgeting and disbursing the funds they receive. The machinery is geared to release money and “create a conducive environment.” It monitors. But it does this without actually planning the industry itself.

That is a shame. Because when we avoid planning the industry, we trap ourselves in an endless cycle:

  • cash allocations that don’t yield repayment,
  • borrowers who appear to build assets with money that does not belong to them,
  • and a country that thickens its skin the next time it seeks funding — all without seeing real economic growth.

There is also an unspoken hope that we will be let off the hook because “we are Africans.” But finance does not forgive weak structures.


Dividing what should be united

Each cycle, allocations are trumpeted to youth, women, and farmers. But in reality, these three are not separate categories — they are a family. Women and youth are embedded in family farms. To slice them into compartments for the sake of budgeting is not only wasteful, it is divisive.

True industry planning does not start with who gets the allocation. It starts with building the backbone that ensures profitability for all: demand mapping, planting calendars, logistics, markets, and reinvestment. Once this spine is in place, the benefits naturally flow to every farmer — whether woman, youth, or elder.


Why the backbone is ignored

The deeper reason this backbone is overlooked is the dichotomy we live with as a nation. We underplay the role of STEM in our economy and agriculture. Yet agriculture is one of the industries that most demands a STEM-disciplined approach. This ranges from governance structures down to the farmer’s choice of seed.

When land and GDP are tended by hands guided by STEM discipline, they produce predictability, scaling, and growth. When managed without it, results fluctuate with the weather, pests, and luck.


One hectare, two futures

To make this real: take two farmers, each with 1 hectare.

  • The STEM-hardwired farmer runs soil tests and balances water precisely. She selects the right seed for climate and disease. She also manages pests with foresight. Over five years, her profits grow steadily from BWP 80,000 to over 100,000.
  • The non-STEM farmer plants by habit and intuition. Some seasons bring decent returns, others collapse under shocks. Over the same period, his profits swing wildly, sometimes as low as BWP 5,000.

One farmer can reinvest and scale. The other cannot.


STEM as the Backbone

Agriculture is not only about soil and seed — it is about systems, and systems require STEM discipline. From governance down to the individual farmer, STEM makes the difference between sustained growth and endless frustration.

On the farm — with STEM

  • Seed selection: Matching varieties to soil type, climate, and disease resistance using agronomic trials and data.
  • Water management: Irrigation calibrated to evapotranspiration rates, soil moisture sensors, and seasonal rainfall models.
  • Fertilisation: Nutrient application based on soil chemistry analysis, preventing both waste and depletion.
  • Pest management: Integrated pest management (IPM) using monitoring thresholds and biological controls rather than reacting late with chemicals.
  • Scaling: Precision data provides confidence to expand from 1 ha to 2, then 10 — with predictable margins.

On the farm — without STEM

  • Seeds chosen by habit or availability, vulnerable to climate shifts.
  • Irrigation by “eye” — too much or too little water.
  • Fertiliser applied reactively, causing soil exhaustion.
  • Pests noticed too late, leading to crop loss or costly sprays.
  • Scaling is a gamble; banks are hesitant to lend.

The result? Inconsistent yields, poor profitability, and farmers dropping out of horticulture.


In the system — with STEM

  • Data pipelines: Retailers share weekly SKU-level demand, analysed and published as crop calendars.
  • Forecasting: National dashboards project shortfalls or surpluses, triggering clear import or storage policies.
  • Logistics design: Cold chain hubs placed using flow models of supply vs. demand, not guesswork.
  • Finance: Lenders and insurers trust the system because data reduces risk.

In the system — without STEM

  • Ministries working in silos — Agriculture with farmers, Trade with retailers, no shared demand–supply map.
  • Imports opened or closed arbitrarily, undercutting local farmers.
  • Collection centres built as afterthoughts, often underused because produce doesn’t match demand.
  • Credit extended, but repayment fails because profitability was never secured.

The absence of STEM discipline is what gets in the way of building the coordination systems horticulture requires. Without it, money flows — but growth stalls.


👉 This section shows concretely: STEM is not just a “nice-to-have” in farming. It is the backbone of both productivity and coordination.


Scaling to the nation

Now imagine horticulture taking 30% of Botswana’s crop land (≈3 million ha), with STEM adoption rising over time.

YearSTEM Area (ha)Non-STEM Area (ha)STEM Profit (BWP Bn)Non-STEM Profit (BWP Bn)Total Profit (BWP Bn)
3600,0002,400,00054.072.0126.0
51,200,0001,800,000108.054.0162.0
101,800,0001,200,000162.036.0198.0
202,400,000600,000216.018.0234.0

With a STEM backbone, national profits rise steadily and reinvestment becomes possible. Without it, volatility, waste, and default persist.


What leadership requires

The leader who takes this on will not just fix horticulture. They will demonstrate that Botswana can move from funding to building industries that plan and re-fund themselves.

That leader will be remembered for building the industry spine. It was the system that allowed farmers, families, and the nation to reinvest. It let them scale and finally sleep when the wind blows.


Closing thought

Botswana does not lack hardworking farmers. It lacks the discipline of coordination and STEM-driven planning that secures the barns before the storm. If we build that spine, we can turn volatility into predictability, allocations into industries, and families into investors.

Then, and only then, will we all be able to say:

“I can sleep when the wind blows.”


Horticulture Farmers Can’t Plant Blind: Why Botswana Needs a National Horticulture Coordination System


She had done everything right.

Bought the seeds. Paid for inputs. Hired labour. Measured every drop of water. Watched over her crop with the kind of personal care only farmers understand. After weeks of nurturing, her cherry tomatoes gleamed on the vines — plump, red, and ready.

She took them to the retailer who once told her, “When you have them, bring them.”
But when she arrived with her harvest, the same buyer turned her away.

“Who placed an order for cherry tomatoes?” the retailer asked.

No order meant no sale. Hours of sweet labour, investment, and determination — side-stepped.

And here’s the bitter twist (and a true story). Those very tomatoes had just won first prize at the national agricultural show. The nation had applauded her produce, yet her local retail shelves never saw it. By the time the retail chain placed its order, it was for imported cherry tomatoes. They simply did not know that, in their own backyard, a farmer was already producing prize-winning fruit.


Why this matters

This is not just one farmer’s story. It is a mirror of the system we all work within.

  • Horticulture farmers plant blind, not knowing what demand will look like when the crop matures.
  • Retailers scramble, relying on imports because there is no coordinated calendar of who is growing what, where, and when.
  • Policymakers toggle between bans and openings, without a real-time picture of supply gaps or gluts.

The result? Crops are wasted in fields. Empty shelves in shops. Rising import bills. And declining confidence among the very farmers we need to carry this sector forward.

The bigger issue

This story is not about one farmer. It is about a system where demand lives with Trade. Supply oversight sits with Agriculture. The bridge in between is missing. Farmers plant in hope, retailers stock in panic, and national policy oscillates between bans and openings.


How did other countries solve this?


How other countries broke the cycle

  • Netherlands: transparent flower and vegetable auctions give growers and buyers the same daily data.
  • Spain’s Almería region: cooperatives coordinate planting schedules, logistics, and marketing so no farmer is left stranded.
  • Kenya: a single horticulture directorate oversees both production and marketing, ending the “split brain” between ministries.
  • India’s Operation Greens: real-time demand intelligence and price stabilization prevent wipeouts from gluts and shortages.

This picture (which shows the split between Ministry of Agriculture and Ministry of Trade, and the missing coordination in the middle):

Note:
This picture highlights a critical gap in Botswana’s horticulture sector.

  • On one side of each vertical line, the Ministry of Agriculture oversees farmers, extension, and production.
  • On the other, the Ministry of Trade manages retail, imports, and demand data.
  • In the interim, there is no coordinating mechanism. It is unclear who grows what, where, and when to match the actual demand in shops and institutions.

The result is wasted crops, empty shelves, and farmers discouraged from investing further.

A National Horticulture Coordination Unit can bridge this gap. It links production to market demand. It publishes clear crop calendars. This unit ensures imports are guided by real data—not guesswork.

Without this bridge, farmers will continue to plant blind. With it, Botswana can move from meeting 70% of its demand to achieving 100% and beyond.


Each of these countries built what Botswana lacks. It is a coordination spine that maps demand to supply. This gives both farmers and retailers a reliable compass.


What Botswana can do

Establish a National Horticulture Coordination Unit – jointly housed by Trade and Agriculture, with clear legal authority.

Publish a Horticulture Market Observatory – weekly retailer data (sales, volumes, gaps) made visible to farmers and policymakers.

Issue crop calendars by district – so farmers know when and how much to plant.

Invest in packhouses and cold chain hubs – so produce doesn’t die at the farm gate.

Set transparent import triggers – clear rules on when imports open and close, avoiding last-minute surprises.


We found several existing or emerging initiatives in Botswana. They partly touch on what we’re describing. Some are close to the supply-demand pipeline we want to build. Others are still missing elements. These might be things you can link into or build upon.


Snapshot: what exists, strengths, and gaps

Initiative (owner)What it coversStrengths we can leverageGap vs. “coordination spine”Quick next step
Letsema Horticulture Market (Gaborone, Block 3)Centralized wholesale-style market; farmer aggregation; quality/price transparency ambitions.Physical node; recognizable brand; farmer access; early digital footprint. (Letsemahm)Not yet a nationwide demand-forecast or pre-order system; weak link to retailer SKU forecasts and planting calendars.Pilot weekly pre-orders from major retailers + simple demand dashboard posted every Friday.
Tokafala Horticulture Programme (Debswana)A 3-year, demand-driven horticulture program to support SMMEs.Explicit demand orientation; private-sector discipline; delivery capacity. (Debswana)Not yet publicly tied to national import rules or district planting calendars.Invite Tokafala to share anonymized demand signals to a public Market Observatory (see below).
PYEC – Horticulture Readiness (OP/PSRU)TVET + change-management workshop to stream youth into horticulture.National convening power; change-management tooling; youth pipeline. (Your doc.)On-ramp for talent, but no market-signal backbone—risk of youth repeating old frustrations.Make “Market Observatory + crop calendars” a deliverable of PYEC’s action plan.
NAMPAADD (MoA)Long-standing plan to modernize arable agriculture; identifies under-used horticulture potential and calls for coordinated cropping.Policy legitimacy; extension footprint; precedent for coordination. (FAOLEX Database)Never fully operationalized into weekly demand data, rules-based imports, or public calendars.Refresh NAMPAADD’s horticulture chapter with district-level sow/harvest targets tied to retailer data.
FAO Hand-in-Hand (HiH)Evidence-based, country-led investment planning; typology tools.Data tools & geospatial analytics that can power targeting and calendars. (FAOHome)Not yet configured as retail demand → farm supply pipeline for Botswana SKUs.Request FAO HiH support to stand up a lightweight Market Observatory (see below).
NDB / Grants & Finance windowsCredit & recent horticulture grant guidelines; blended finance possibilities.Can nudge compliance (e.g., finance only when farmer slots align to calendars). (NDB)Finance currently decoupled from demand forecasts and import triggers.Make finance conditional on calendar-aligned offtake (pre-order or market slot).
IFAD / FAO field schools & ASSP-type supportCapacity, “farming as a business,” climate-smart practices.Training backbone that can teach market-aligned production. (IFAD)Training often production-centric, not demand-calibrated.Add a Market Intelligence module + weekly planning ritual.

What’s still missing (and how to add it quickly)

The missing piece is a public, rules-based, demand→supply pipeline that everyone can see.

Horticulture Market Observatory (public web page + PDF weekly)

Retailers/markets submit weekly SKU volumes, price bands, stockouts (simple template).

Publish a Friday snapshot + 8-week rolling forecast by district/crop.

Use FAO HiH tooling for the analytics layer. (FAOHome)

District Crop Calendars & Planting Targets

Start with top 8–10 veg; publish sow/harvest windows + target tonnage per district (refresh monthly).

Base targets on the Observatory forecast + Letsema/Tokafala signals. (Letsemahm)

Transparent Import Trigger Bands

Example: if projected supply <85% of demand for 4–6 weeks, open imports; >110% triggers processing/price-stabilization measures.

Announce changes via the Observatory (predictability for farmers and retailers).

Finance/Grant Conditionality

NDB/other windows require an assigned market slot (pre-order or auction) or alignment to district targets. (NDB)

90-day stitching plan (practical)

  • Week 0–2: Form a small Working Cell (MoA, MoT, Letsema, Tokafala, two retailers, NDB, FAO HiH).
  • Week 2–6: Stand up v1 Market Observatory (Google Sheet → public webpage); collect first 4 weeks of retailer SKUs.
  • Week 4–8: Publish draft crop calendars for two corridors (Gaborone–South, Francistown–North); recruit 50 pilot farmers via PYEC/TVET.
  • Week 6–10: Pilot Friday pre-order window at Letsema (listing + minimum volumes); Tokafala farmers prioritize listed SKUs. (Letsemahm)
  • Week 10–12: Announce import-trigger bands for those SKUs; align NDB grant/loan approvals to calendar slots.

The prize-winning tomatoes that never reached the shelf

The farmer in our story is not unique. Across Botswana, farmers are working with grit, faith, and long hours. They produce quality food. This food too often fails to meet the market. It is not because of their shortcomings. It is because the system has no bridge between production and demand.

Her cherry tomatoes were good enough to win the nation’s top prize. Yet they could not win a spot on the nation’s dinner tables.

That gap is what a National Horticulture Production Management System is meant to close.


Closing thought

Farmers can’t plant blind.
Retailers can’t stock empty shelves.
Policymakers can’t steer an economy on partial data.

Botswana’s farmers have already reached about 70% of local demand under difficult conditions. With coordination, transparency, and investment in the missing middle, that 70% can become 100% — and beyond.

The prize-winning tomatoes are proof that quality is here. Now it’s time to build the system that ensures such produce doesn’t just win awards. It must also win its rightful place on our tables.


Builders or Bystanders? Three Strategic Scenarios for Botswana’s STEM Future


Your thinking is incisive — and it touches a painful global fault line.


🔵 INTRODUCTION

Fifty years ago, and even twenty years ago, eyes would quietly roll. This happened even just five years ago whenever I presented the unemployment case study. I called for the expansion of our economic base into agriculture and manufacturing. The analysis didn’t align with what many in Botswana held close to their hearts:

That the best jobs were in government.
That the safest path was one with proximity to the national coffers.
That careers worth pursuing were those of teachers, police officers, lawyers, and doctors. These roles are seen as stable, respected, and state-salaried.

In that worldview, STEM was invisible. It was neither prioritized nor financed. STEM has powered the rise of every economy now leading the world into the AI age. It is evident in Physics, Chemistry, and Mathematics.

But fifty years have passed. And the reality today no longer matches the dream.

The government coffers are no longer overflowing. Public sector job creation has slowed. And those trained in roles of the past now find themselves unskilled for a private sector that never fully materialized.

Looking back, we can forgive the choices of the early years. Botswana was young — trying to find its way. But the next 50 years will not wait. And it will not be gentle.

The time has come to name a reality many have quietly lived with. We must do so with compassion but also clarity. The reality is that STEM evokes pain. For many, it stirs memories of failure. It triggers feelings of not being good enough. People remember being left behind in schoolrooms that favoured quick calculations over poetic thought. Avoidance is no longer an option. We live in a world where everything we eat, wear, or build is grounded in the sciences. We operate everything through AI, except perhaps politics.

This is not to dismiss the Arts. They are necessary. They help us make meaning of what we have just lived through. But they are languages of the past. They draw their strength from nostalgia, memory, and reflection. They do not engineer propulsion. To leap into the future, we need STEM. It should not only be a subject in school. It should be the architecture of economic survival, governance, and production.


Every country has lived through that pain. Every person who has had to reckon with their place in this rapidly changing world has experienced it. You’re not alone in having struggled with STEM. But at some point, as individuals and as nations, we must find the courage to move forward with it anyway.

The future will not pause while we make peace with our past. We don’t have to pretend it was easy. But we also can’t let that pain define what comes next. It’s time to rise — not because it’s easy, but because it’s necessary.


This post explores three possible trajectories for Botswana from this point forward. The purpose is not to predict the future — but to sharpen our awareness of what we are choosing today. Each path is plausible. Each has its own consequences. But only one, I believe, leads to durable sovereignty, economic coherence, and generational uplift.


Looking back, we can forgive the choices of 50 years ago. It was Botswana’s first united front — a young nation trying to find its way. But the next 50 years will not wait.

So the question is no longer: What happened?

The real question now is: What must we be prepared for?


✳️ Introductory Paragraph:

The world is not waiting. Nations are restructuring their economies, education systems, and regulatory frameworks to meet the demands of an AI-powered, STEM-led global future. That shift was happening as far back as 200 years ago. In the span of a single generation, decisions made today in classrooms will determine the fate of countries. Ministries and boardrooms also play a crucial role in shaping the future. These choices will show if they fall behind or rise to global relevance.

Botswana stands at a crossroads. Will it continue on its current path — redistributing value instead of building it? Will it adopt surface-level AI tools without a real production engine? Or will it invest deeply in science, technology, engineering, and mathematics (STEM) to build resilient systems and regional value chains?

This post presents three strategic scenarios for Botswana’s future. Each scenario is shaped by the country’s choices around STEM investment. Governance models also play a role. Additionally, it depends on its willingness to lead rather than follow. These scenarios are not predictions. They are tools for clarity, planning, and courage.


✳️ Rationale for Developing the Scenarios:

These scenarios were developed in response to a growing national unease. This unease is about youth unemployment, growing regulation, policy stagnation, and technological disruption. They build on insights from systems thinking, development planning, and decades of underutilised potential in Botswana’s public and private sectors.

More urgently, they offer a language to speak about what we stand to gain or lose. This depends on whether we choose to centre STEM. It applies not only in education but also in governance, regulation, and production. It affects how we imagine our collective future.


Let’s walk through a likely 20-year scenario for Botswana (and similarly placed countries) if the current structural discomfort with STEM continues and the world’s STEM giants surge ahead:


🛰️ Scenario 1 for Botswana 2045: The Global Tech Divide Is Permanent — and Botswana Is on the Losing Side

1. STEM-Powered Superstates Set the Rules

  • China, India, Europe, and the STEM-enabled Middle East now own the AI, bioengineering, fusion power, agri-robotics, and climate-tech markets.
  • These regions no longer just produce the technologies. They have embedded them deeply into how society is governed. They also affect how infrastructure is maintained and how jobs are distributed.

2. Botswana is a Spectator to AI, Quantum, and Bio Revolutions

  • Botswana becomes a net consumer without a critical mass of home-grown STEM thinkers. It becomes a net consumer, not a producer. Botswana is not even a critical consumer.
  • The few tech services it can afford are scaled-down versions, pre-processed for Global South clients.

“It’s like drinking recycled water from a smart city you never helped design.”

3. The Global North No Longer Needs Botswana’s Minerals

  • Rare earths and diamonds are either:
    • Synthesized artificially (lab-grown diamonds, mineral extraction from space debris),
    • Or sourced from more politically stable, tech-integrated African countries (e.g., Rwanda, Kenya, Egypt).
  • The era of passive mineral wealth is over. The illusion that foreign spending will keep the country afloat is gone.

4. Socialist Redistribution Politics Struggle Without Revenue

  • With mining income gone and agriculture un-modernized, the state has less to redistribute.
  • Workers expect “entitlements,” but there is no productivity beneath to fund them.
  • The gap between promises and possibilities widens — leading to unrest, brain drain, and populist distraction politics.

5. Botswana’s Youth Are Angry — But Undertrained

  • With AI displacing traditional white-collar jobs, and no local STEM industries to absorb the loss, youth feel betrayed.
  • Ironically, many turn to the very influencers and entertainers the system elevated. They then realise that the real wealth and influence now sits in the STEM world. This is a world they were never invited into.

6. Global Tech Powers Pick and Choose African Partners

  • STEM-rich countries like Egypt, Tunisia, Kenya, and Rwanda become African nodes for future development partnerships.
  • Countries like Botswana are offered climate preservation roles, or eco-tourism zones — but not a seat at the decision-making table.
  • Foreign powers may still invest in:
    • Preserving biodiversity, not industrialising it.
    • Buying carbon credits, not helping industrial growth.
    • Charitable tech access, not capacity building.

In other words: you may be preserved, but not empowered.


✋ And Yet, It Was Preventable

  • This isn’t a natural outcome. It’s a choice — or rather, a series of avoided choices.
  • Countries like Botswana had 20 years to:
    • Rewire education to prioritise STEM (especially Physics, Chemistry, and Mathematics).
    • Reform leadership pipelines to demand STEM literacy in public service.
    • Stop glamorising “soft visibility” professions and reward quiet technical mastery.

🌱 But All Is Not Lost — If Action Starts Now

“The best time to plant a tree was 20 years ago. The second-best time is today.”

  • If Botswana invests now in building a critical mass of 35–40% STEM graduates, with integrity-based leadership:
    • It can leapfrog into renewable energy, regenerative agriculture, AI-supported public infrastructure, and STEM-backed governance.
    • It can serve as a regional hub for climate-tech, AI-integrated agriculture, or precision medicine.

That pivot requires courageous honesty about where things stand now. It also demands a break from the illusions of safety in visibility, poetry, or legacy mineral rents.


⚠️ Scenario 2 for Botswana 2045: Decoupled Growth – AI Without Foundations

“Digitised but unrooted. Tech glitters, but the soil is hollow.”

Botswana aggressively adopts AI technologies. This occurs in government, banking, security, and communication. However, the country is not building a foundational STEM ecosystem in its schools, industries, and governance systems.

Short-term gains (next 5–10 years):

  • Government digitises services.
  • Youth pick up quick AI tools (prompting, low-code apps, etc.).
  • Startups and donor-funded tech incubators emerge.

But…

Medium-term outcomes (by 2045):

  • Local talent cannot maintain or advance AI systems they adopt.
  • Manufacturing and agriculture remain underserved and unautomated.
  • Foreign firms dominate data, tools, cloud access — Botswana becomes a data client state.
  • Economic fragility deepens: glitzy front-end, broken backend.

This scenario creates a false sense of progress, masking the lack of sovereign technical depth.


If Botswana boldly shifts today, it can achieve a 60% STEM throughput within 10 years. This effort will allow them to catch up on lost time. By 2045, a radically different future is not just possible, it is probable.

Let’s explore that future in contrast to the previous scenario:


🌍 Scenario 3 for Botswana 2045 — The STEM Leapfrog Nation

“It was once called ‘the locomotive of Africa’ — now, it’s the driver of the engine.”

🔁 1. From Extractive to Generative Economy

  • Botswana no longer relies solely on mining rents; it now exports AI-driven agri-solutions, climate engineering services, and biotech intellectual property.
  • Former mining towns have been converted into STEM production corridors: solar microgrids, geothermal research hubs, fusion training centres.
  • Local manufacturing has revived — not cheap and dirty, but clean, precise, and export-oriented, led by engineers and digital technicians.

🧠 2. Public Sector Transformed: Led by Technocrats

  • 60% STEM throughput means that half or more of public officers now have backgrounds in Physics, Chemistry, Mathematics, or Engineering.
  • Ministries no longer “consult” technical experts. They are the technical experts.
  • Policies are evidence-led, deeply simulated using systems models, and include impact foresight.
  • Regulatory culture shifts from defensive overreach to agile risk-tolerant frameworks — because people finally understand scale, feedback, and irreversibility.

“The government is no longer a referee of progress. It is the architect of it.”


👩🏽‍🌾 3. Botswana Becomes Africa’s Agri-Tech Command Centre

  • With climate volatility peaking, Botswana leads in regenerative precision agriculture, satellite-aided irrigation, and AI crop disease forecasting.
  • Thousands of rural youth are trained as agri-coders, drone operators, soil lab analysts, and seed technologists.
  • Regions like the Kgalagadi have become agro-innovation testing zones in collaboration with Indian and Dutch research stations.
  • The African Development Bank labels Botswana “The First Resilient Farm Nation.”

💼 4. Unemployment Nearly Eliminated — But It’s Not the Old Jobs

  • While mining and retail decline, jobs in:
    • Cybersecurity
    • Energy systems
    • AI governance
    • STEM teaching
    • Circular economy manufacturing
      grow rapidly.
  • Rather than waiting for jobs, young people are founding companies that export services and products into Africa and beyond.
  • The informal sector shrinks as people shift from hustle to mastery.

🧬 5. A New Botswana Identity Emerges

  • The national identity is no longer rooted in “a proud past” alone — but in a shared, technical future.
  • Botswana celebrates its engineers, data scientists, agronomists, and inventors — as deeply as it once celebrated singers and soldiers.
  • National TV channels run prime-time STEM storytelling, and annual “Botswana Grand Challenges” inspire national innovation sprints.
  • Even Setswana proverbs are being re-interpreted to align with scientific insights — grounding STEM in culture.

“Ga se ka lerumo le le bogale fela — le ka ntlha ya boikwetliso jwa gagwe.”
It is not only because of a sharp spear — but because of the preparation of the one who wields it.”


🤝 6. Global Partnerships on Botswana’s Terms

  • Rather than waiting for Global North investors, Botswana becomes a technical equal.
  • It co-develops AI laws with Europe, shares data infrastructure with India, and hosts Africa’s Southern AI Observatory.
  • The Global STEM Diaspora is returning — not to visit, but to invest and teach.
  • Botswana is now chairing continental panels on STEM ethics, regenerative governance, and space economy for Africa.

⚖️ 7. The Political Culture Matures

  • The age of “elite populism” fades, replaced by civic science culture.
  • Parliamentary debates begin with simulations and systems maps.
  • Leaders are elected not by slogans, but by demonstrated grasp of complexity and ability to lead multi-disciplinary teams.
  • Even the military has STEM-led strategic units in cyber, space, and climate security.

🎓 8. The Ripple to SADC and the World

  • Botswana exports:
    • Curricula for STEM-primary schooling
    • Faculty to newly launched universities in Angola, DRC, and Zambia
    • Policy blueprints for AI regulation and STEM justice
  • Motswana professors are now guest lecturers at MIT, NUS, ETH Zurich.
  • Regional neighbours model their youth employment strategies on Botswana’s STEM value-chain training.

🛤️ How Did It Happen?

Through a radical national reckoning — and 3 unshakable reforms:

A National STEM Commitment Charter — enshrined in law.

Public Service STEM Track — 60% of new hires must be from Physics, Chemistry, Mathematics, and Engineering fields.

STEM x Culture Narrative Rewrite — using schools, churches, influencers, and village elders to normalise technical ambition.


Botswana can catch up on lost time if it boldly shifts today. It must commit to a 60% STEM throughput within 10 years. Then by 2045, a radically different future is not just possible, it is probable.

Let’s explore that future in contrast to the previous scenario:


We will next develop the three scenarios for Botswana’s future — arranged in a clear, escalating arc:


🔮 Botswana’s Strategic Futures: STEM, Sovereignty & Survival

As the world accelerates in AI, biotech, manufacturing and advanced agriculture, Botswana stands at a pivotal crossroads. The choices made today will determine whether it builds systems. They will also determine if it becomes a dependent participant. It may also end up as a bystander in decline.

Here are three strategic scenarios to frame Botswana’s possible futures:


🚩 Scenario 1: Status Quo – STEM Neglect and Decline

“Redistribution without production. Regulation without understanding.”

Botswana continues on its current path:

  • Low STEM enrolment (9%) persists, with youth drawn to tenderpreneurship, arts, and political sciences.
  • Regulations remain tight — not due to strategic caution, but due to lack of internal technical fluency.
  • Tenders dominate local opportunity, sidelining hands-on production and systems-building.
  • Foreign experts parachuted in but fail to leave lasting capacity or ecosystems.
  • Socialism is used as political cover, redistributing limited gains but failing to grow new wealth.

Consequences by 2045:

  • Botswana becomes a pass-through state, relying on outside systems and consultants.
  • AI, engineering, and biotech are imported, not created.
  • Economic sovereignty weakens as the country remains resource-dependent (diamonds, minerals, tourism).
  • Society grows more fragile, with growing unemployment and state spending pressures.

🧨 Trigger signs already visible:

  • 9% STEM graduation rate.
  • P800M procurement losses vs P80M in value.
  • Tight, reactive regulation vs anticipatory system design.

⚠️ Scenario 2: Decoupled Growth – AI Without Foundations

“Digitised but unrooted. Tech glitters, but the soil is hollow.”

Botswana aggressively adopts AI technologies — in government, banking, security, and communication. However, it does so without building a foundational STEM ecosystem in its schools, industries, and governance systems.

Short-term gains (next 5–10 years):

  • Government digitises services.
  • Youth pick up quick AI tools (prompting, low-code apps, etc.).
  • Startups and donor-funded tech incubators emerge.

But…

Medium-term outcomes (by 2045):

  • Local talent cannot maintain or advance AI systems they adopt.
  • Manufacturing and agriculture remain underserved and unautomated.
  • Foreign firms dominate data, tools, cloud access — Botswana becomes a data client state.
  • Economic fragility deepens: glitzy front-end, broken backend.

This scenario creates a false sense of progress, masking the lack of sovereign technical depth.


🛠️ Scenario 3: STEM-Driven Pivot – Deep Production and Regional Integration

“Botswana becomes a builder of systems — not just a buyer of tools.”

Botswana makes a radical but deliberate shift:

  • STEM education (Physics, Chemistry, Mathematics) is prioritised, with a 60% throughput target in 10 years.
  • TVET is complemented, not mistaken, for STEM (clear distinctions maintained).
  • The country invests in regenerative agriculture, manufacturing, and systems engineering — not just digital services.
  • Public service becomes technocratically grounded, with incentives for skilled regulators and planners.
  • AI is embedded into real value chains: farm-to-market, mines-to-metals, lab-to-medicine.

Outcomes by 2045:

  • Botswana becomes a regional production and systems hub.
  • Owns its data infrastructure, cloud platforms, and local talent pools.
  • Exports increase — not just of minerals, but processed goods, software, and engineered services.
  • Regulation becomes smarter, lighter, anticipatory, because decision-makers are fluent in complexity.

🎯 This scenario:

  • Creates new jobs aligned with value creation, not just value capture.
  • Builds national confidence in its intellectual and technical capacity.
  • Inspires youth to build, not just trade.

🌍 Regional Positioning: Where Will Others Be?

Country/RegionLikely 2045 TrendScenario Trajectory
IndiaTech sovereignty, STEM surgeScenario 3
ChinaIndustrial-AI convergenceScenario 3
Middle EastSTEM investment + sovereign dataScenario 3 or 2
EUTechnocratic regulation + resilienceScenario 3
South AfricaSplit growth: strong private STEMBetween 2 and 3
NamibiaState-led exploration of techBetween 1 and 2
BotswanaTo be decided…???

🤝 Strategic Recommendation

  • Don’t chase AI alonebuild the foundation.
  • Use the next 10 years to invest in STEM core disciplines.
  • Rebuild regulatory institutions to match emerging complexity.
  • Create a citizen narrative around “builders, not just beneficiaries.”

Centrally Coordinated Agricultural Production – What That Means For Botswana


🧠 The Rotten Test: Ask of Any Policy

“Does this system give the farmer clear, real-time information about how much to produce, when to produce, and where it will go?”

If the answer is no, the policy—like the food systems exposed in Rotten—may be setting them up for failure.

What I am describing is not nationalization in the strict sense (i.e. state ownership of farms), but rather centrally coordinated agricultural production — where the government, in partnership with national farmer associations, plans production to meet national needs and organized export targets, while the land and operations remain privately or corporately owned.

This model aligns more with:

  • Coordinated market economies (e.g., in parts of Europe)
  • Export-led agricultural systems (e.g., in Asia and Latin America)
  • Public-private agriculture governance structures

Below is a list of countries (or regional blocs) that most closely reflect this model, where government and farmer associations work together to ensure supply meets aggregated national and global demand without owning the farms:


🌾 Countries with Strong National Coordination in Agriculture (Non-Nationalized)

1. Netherlands

  • Model: Highly planned and tech-enabled production.
  • Coordination body: Ministry of Agriculture works closely with farmer cooperatives (e.g., LTO Nederland).
  • Export focus: Major exporter of vegetables, flowers, meat.
  • Tools used: Digital farm registries, production quotas, national R&D targets, and organized market access through co-ops.

2. France

  • Model: Strong Common Agricultural Policy (CAP) alignment.
  • Coordination body: Ministry of Agriculture + National Interprofessional Councils (interprofessions).
  • Mechanisms: Strategic sector plans, quotas, and export agreements within EU and globally.

3. Denmark

  • Model: Export-oriented cooperative model.
  • Coordination body: Ministry + Danish Agriculture & Food Council.
  • Example: National agreements on pork production for Chinese and EU markets.

4. Israel

  • Model: State-supported planning with strong research-industry links.
  • Coordination: Kibbutzim and Moshavim integrate closely with the Ministry.
  • Example: Coordinated drip irrigation and export-led citrus and flower sectors.

5. China

  • Model: Mixed economy with quotas and central guidance.
  • Coordination body: Ministry of Agriculture sets production targets and supports farmer cooperatives.
  • Mechanism: “Vegetable Basket Project,” Five-Year Plans for food security, contract farming for exports.

6. Vietnam

  • Model: Post-reform socialist market economy.
  • Coordination body: Ministry of Agriculture coordinates land-use and export planning.
  • Sector success: Rice and seafood exports through coordinated farmer networks.

7. Brazil

  • Model: Government-backed agribusiness export strategy.
  • Coordination: Ministry of Agriculture + Embrapa (agricultural research) + national crop boards (e.g., ABPA for poultry).
  • Tools: Satellite monitoring, national zoning laws, and crop forecasts for soy, beef, sugar, etc.

8. India

  • Model: Large-scale crop planning with farmer incentives.
  • Coordination: Central and state governments work with cooperatives and marketing boards (e.g., NAFED, FCI).
  • Challenges: Implementation complexity due to scale, but export crops like basmati rice, spices, cotton are heavily coordinated.

9. Thailand

  • Model: Coordinated value chains for rice, rubber, and fruit exports.
  • Coordination: Ministry + farmer groups + contract farming for export fulfillment.

10. South Korea

  • Model: Government sets supply and demand forecasts, supports cooperatives.
  • Example: Korea Agro-Fisheries & Food Trade Corporation (aT) facilitates exports and sets production planning.

🔄 Common Features Among These Countries:

  • Centralized data on supply & demand, often real-time.
  • Institutionalized partnerships between government, farmers, and exporters.
  • Use of permits, quotas, and forward contracts to stabilize markets.
  • Heavy investment in agricultural R&D, extension services, and export facilitation.
  • Sometimes involve minimum price guarantees or subsidies tied to national plans.

🌍 Notable Regional Example:

European Union (CAP – Common Agricultural Policy)

  • Supranational coordination of agricultural production.
  • Uses production planning, environmental standards, and trade negotiations collectively.
  • Member states develop National Strategic Plans under an EU umbrella.

❗️Where This Is Not Common:

  • Most of Sub-Saharan Africa: Lacks centralized systems due to fragmentation, lack of digital traceability, weak farmer cooperatives, and limited export integration.
  • United States: While subsidies and crop insurance exist, production decisions are mostly private. There’s no national production permit system based on demand forecasts.

✅ So to answer the question:

At least 10–15 countries today have strong, centralized coordination systems that match your description — though they do not own farms. These systems are more about:

Orchestrated agriculture – where national production is planned, monitored, and aligned with export strategies in partnership with organized farmer associations.


What Stops a Country From Adopting Coordinated Demand-driven Agricultural Production?

A country is often not able to adopt coordinated, demand-driven agricultural production (without nationalizing farms) for six major reasons, each with multiple layers of structural and systemic inertia.


❶ Weak or Fragmented Farmer Organizations

Why it matters:
Coordinated production requires organized producers (e.g., cooperatives, associations) that can receive quotas, participate in planning, and supply consistently.

What stops it:

  • Historical mistrust in cooperatives
  • Politicization or elite capture of farmer groups
  • Fragmentation: Too many small, uncoordinated actors
  • Weak leadership or lack of technical capacity in associations

Example: In Botswana, farmers often operate individually or in loose groups without strong aggregation mechanisms for production or marketing.


❷ Poor Agricultural Market Intelligence & Data Systems

Why it matters:
Governments need real-time data on local production, global prices, weather, input access, and demand forecasts to guide decisions.

What stops it:

  • Absence of centralized production databases
  • Lack of investment in agricultural statistics and remote sensing
  • Disconnection between research bodies and policy decisions
  • Low digital infrastructure in rural areas

Without data, there’s no basis to permit, predict, or plan.


❸ Lack of Institutional Coordination

Why it matters:
Coordinated production requires alignment across:

  • Ministries (Agriculture, Trade, Finance, Infrastructure)
  • Export councils
  • Research and extension services

What stops it:

  • Turf wars and siloed operations
  • Frequent leadership changes or policy reversals
  • Weak coordination platforms (e.g., inactive agriculture councils)
  • Absence of a national agriculture command-and-control dashboard

❹ Absence of National and Export Market Contracts

Why it matters:
Export-led production thrives on forward contracts and pre-negotiated quotas with international buyers. These guide local production volumes and timing.

What stops it:

  • Limited international trade negotiations in agriculture
  • Poor branding of national produce (quality, consistency, certifications)
  • Weak or non-existent export councils for agriculture
  • Lack of investment in post-harvest handling and cold chains

In short: no buyers, no reason to scale production.


❺ Insecure Land Tenure and Weak Investment Incentives

Why it matters:
Farmers need to feel secure to invest in scaling production to meet quotas. Private capital needs clear property rights to engage.

What stops it:

  • Customary or leased land not usable as collateral
  • Unclear title deeds or long delays in land allocation
  • Inconsistent tax and subsidy policies
  • Fear of state interference or lack of trust in public agencies

❻ Skills Gaps: STEM, Management, Agronomy

Why it matters:
Coordinated production needs a skilled backbone — both in government planners and farmer-managers — who understand:

  • Market systems
  • Agribusiness logistics
  • Crop science and climate-smart production
  • Systems thinking for scaling

What stops it:

  • Education systems focus on “agriculture” but not core STEM
  • Extension workers lack upskilling in global trends
  • Low digital fluency across the agri-value chain

🧩 Underneath It All: A Missing Mental Model

At the heart of all these constraints is a mental model of agriculture as a:

  • Subsistence sector (not a commercial production industry)
  • Social policy tool (employment & land access) rather than an economic engine
  • Politically risky sector to regulate, due to voter sensitivities

Until this mental model shifts, efforts at coordination often stall.


✅ What It Takes to Shift

To transition to coordinated agriculture like the Netherlands, Denmark, or Vietnam, a country must:

Build national crop & livestock registries (traceability)

Mandate digital reporting of land use and yields

Empower farmer associations with planning & market access roles

Set up joint public-private Export Market Councils

Negotiate bulk purchase/export contracts regionally & internationally

Link national education to agribusiness STEM fields

Reorganize the Ministry into a strategy + data + extension nucleus


A transformation map for Botswana

Here’s a Botswana-Specific 10-Year Transformation Map to move from fragmented, input-subsidy-dependent farming to coordinated, demand-driven agricultural production that enables both food sovereignty and organized export markets — without nationalizing farms.

🇧🇼 BOTSANA AGRICULTURE TRANSFORMATION MAP (2025–2035)

Goal: Shift to a system where production is guided by national demand + structured export contracts, via strong public-private coordination.
Principle: Farms stay private; coordination becomes public.


🟩 PHASE 1: 2025–2027 – Foundation & Visibility

Theme: “See the System” – Map, Aggregate, Connect

Priority AreaKey ActionsLead Entities
🧭 1. National Production Mapping– Build digital registry of farms (land, crops, size, irrigation) – Use satellite + mobile reporting – Identify agro-climatic zones per cropMoA, Statistics Botswana, Land Board, UNDP
🤝 2. Empower Farmer Associations– Legal & capacity reform for existing associations – Support formation of national-level boards per major commodity (e.g., Potatoes, Horticulture, Poultry)Registrar of Societies, Farmers Unions, Business Botswana
📊 3. Market Intelligence Platform– Establish a digital dashboard for crop price, demand, weather, input availability – Run national demand studies & baseline exportsMinistry of Trade, MoA, SEZA
🔎 4. Rethink Subsidies– Begin shifting ISPAAD & LIMID from blanket inputs to targeted support based on crop priorities and agrozonesMoA Policy Division, MFED

🟨 PHASE 2: 2027–2030 – Coordination & Control

Theme: “Guide the System” – Aggregate Demand, Set Targets

Priority AreaKey ActionsLead Entities
📈 5. National Crop & Livestock Council– Form a legally mandated multi-stakeholder council (Govt + Farmer Boards + Exporters + Researchers) – Use council to approve seasonal production quotas and export targetsOffice of the President, MoA, Business Botswana
🔐 6. Contract Farming Expansion– Pilot export-oriented contracts in garlic, potatoes, chilies, and beef – Sign regional procurement contracts (e.g., SADC school feeding, GCC retailers)BITC, MoFAIC, Trade Attachés
📉 7. STEM-Agri Curriculum Reform– Integrate data analysis, systems thinking, and agribusiness into SHS and tertiary agri courses – Establish internship placements on export farmsMoESD, BIUST, BUAN
💼 8. Professionalise Extension Officers– Upskill officers in market systems, contract farming, regenerative production – Make performance linked to farmer productivity & supply alignmentMoA Training Department, LDF

🟥 PHASE 3: 2030–2035 – Export Reliability & Resilience

Theme: “Run the System” – Export with Confidence, Invest with Trust

Priority AreaKey ActionsLead Entities
🛫 9. National Export Board for Agriculture– Consolidate oversight of agri-export promotion, standards, marketing – Align with customs, veterinary permits, cold chain logisticsMoA, BAMB, Botswana Bureau of Standards
🏭 10. Value Chain Finance & Insurance– Develop crop insurance linked to production permits – Channel NDB and citizen equity funds through farmer boards – Attract private agri-finance via forward contractsNDB, CEDA, BITC, BoB
🧠 11. Systems Research & Forecasting– Use weather, market, soil, and input data to run production simulations – Use archetype-based insights to prevent overproduction, glut cyclesSTRLDi, BUAN, MoA
🔄 12. Legislative Backing– Revise National Agriculture Policy to reflect coordinated production model – Anchor it in Food Security and Economic Diversification strategyParliament, Attorney General’s Office

🧩 SYSTEM FEATURES ENABLED BY 2035:

  • ✅ Production permits based on demand forecasts (not guesswork)
  • ✅ National farm registry and traceability system
  • ✅ Data-driven price stabilization and export contracting
  • ✅ Digital dashboards at MoA and Districts for planning
  • ✅ Professionalized farmer base (similar to manufacturing)
  • ✅ Resilience against import bans and regional shocks

🔄 Optional: 4-Year Electoral Fit (2025–2029)

To align with political cycles, Phase 1 and early Phase 2 deliverables can form part of a presidential or ministerial results agenda, showing clear progress before elections.


My Inspiration for this Post

If you are a farmer or an agriculturalist (at any level), then you should watch this! Now!

Here’s a structured rundown of Netflix’s Rotten—the documentary series that inspired my reflection on farmers caught in volatile price cycles. It exposes how hidden market dynamics, fraud, and corporate systems hurt producers, often those at the very bottom of the chain.


📺 Overview of Rotten

  • A Netflix original investigative series (first season released January 5, 2018; second season October 4, 2019) with a total of twelve episodes across two seasons, each exploring corruption, fraud, and exploitation in global food systems (GQ, Wikipedia).

🔍 Season 1 (6 episodes) – “True Food Crimes”

1. Lawyers, Guns & Honey

Uncovers massive honey adulteration—beekeepers struggling to compete with cheap, syrup‑diluted honey flooding the U.S. market from China and other countries. Domestic producers are squeezed out, and regulators struggle to detect fraud (Garden Culture Magazine).

2. The Peanut Problem

Investigates a surge in peanut allergies in the U.S., linking it to shifts in processing, environment, and early childhood exposure. Highlights how industrial peanut systems affect public health and put pressure on farmers to keep up with opaque demand trends (Allergy Amulet).

3. Garlic Breath

The most gripping episode: a legal and ethical battlefield between Chinese exporters (some using prison labor) and U.S. garlic farmers. It reveals how global supply shocks, trade disputes, and price dumping devastate small producers (GQ).

4. Big Bird

Focuses on poultry production, showing how large-scale consolidation and export-driven demand distort local markets and compress margins for independent growers, often underregulated (GQ).

5. Milk Money

Centers on the raw milk controversy in the U.S., juxtaposing small dairy farm viability with public-health risks. It highlights how fear-based regulation and consumer mistrust can impact livelihoods without clear national strategy or market clarity (David Gumpert, GQ).

6. Cod Is Dead

Explores overfishing, regulatory loopholes, and global demand for seafood, showing how small fishing communities fall prey to industrial fleets and opaque supply chains, often without knowing who consumes their catch or at what price (Los Angeles Times, GQ).


🌍 Season 2 (6 episodes) – Deeper on Commodities & Ethics

Includes stories like:

  • The Avocado War – Supermarket chains squeezing small growers in Latin America.
  • Reign of Terroir – How terroir branding is co-opted by big players.
  • Troubled Water – Bottled water scams that leave communities thirsty.
  • A Sweet Deal, Bitter Chocolate, High on Edibles – covering sugar, chocolate production (including deforestation and labor abuse), and cannabis edibles respectively (Wikipedia).

🧩 Cross‑Cutting Themes

  • Global supply shocks and price volatility leave producers blind to demand, often overinvesting and ending in ruin.
  • Food fraud and adulteration undermine trust and crop value (honey, garlic, chocolate).
  • Corporate consolidation & opaque trade—big buyers and multinationals capturing margins, leaving farmers in informational darkness.
  • Labor exploitation, especially in low-cost producers like prison farms in China or cocoa plantations under slavery-like conditions.
  • Regulatory dysfunction: government bodies failing to protect small producers or clarify demand forecasts.
  • Emotional storytelling draws empathy—but also criticism for dramatizing issues over structural analysis (GQ).

🧑‍🌾 Relevance to Farmer Experience

Your concerns—that small farmers invest blindly, with no real insight into national or export demand, and thus suffer catastrophic losses—mirrors Rotten’s narrative. Farmers often don’t control:

  • Market entry or exit timing,
  • Price contracts,
  • Export pathways or demand data.

They’re typically stuck reacting rather than planning—leaving them vulnerable to price crashes, import floods, and external shocks. The series underscores the human toll of systemic opacity and misalignment.


✅ Summary Table

Episode / ThemeKey InsightImpact on Farmers
Honey adulterationPrice-undercutting by fraudulent syrup importsDomestic beekeepers driven out or starved
Garlic dumpingGlobal trade wars, forced labor, export inequalityU.S. garlic farmers lose ground and market share
Commodity allergiesShifting health trends and processing normsPeanut farmers suffer demand unpredictability
Poultry, fish, dairyExport pressures and consolidationSmall producers edged out, price and demand opaque

Did the documentary reach the conclusions we reached here?

No, the documentary Rotten does not explicitly reach the conclusion we’ve raised here — that coordinated, demand-driven national production planning is a necessary safeguard for farmers.

Instead, Rotten does the following:


🎥 What the Documentary Does Say:

  • It exposes the invisible machinery behind food systems — fraud, monopolies, unfair trade, exploitation, price dumping.
  • It empathizes with small farmers who suffer under market opacity, global trade forces, and power imbalances.
  • It documents farmer bankruptcies, family trauma, and systemic silence that precedes collapse.
  • It often frames these as consequences of deregulated capitalism, consolidation of corporate power, and corruption in trade.

🧠 What It Does Not Do:

  • It does not explicitly propose national production permits, demand forecasting, or farmer-board coordination as solutions.
  • It does not draw a policy systems map or push for governance reforms like those we are advocating.
  • It largely avoids proposing structural solutions, staying in the investigative and emotional storytelling space rather than systemic policy design.

So, What Have We Done Differently?

We have taken Rotten a step further by:

Translating narrative diagnosis into policy prescription.

Where Rotten shows the symptoms, we’ve proposed the systemic cause and a coordinated solution.

The documentary paints the tragedy. We’ve used it to frame the design.

This is precisely the value of the systems thinking lens—where stories like Rotten become entry points to expose structure, delay, loop dynamics, and system traps that can be redesigned.


📄 Policy Memo: From Rotten to Resilient – Why Botswana Must Coordinate Its Agricultural Production

To: Ministry of Agriculture, Trade & Industry, Office of the President
From: [Your Name / STRLDi]
Date: [Insert Date]
Subject: Preventing Farmer Collapse through Coordinated, Demand-Driven Agricultural Planning


🎬 Background Inspiration

The global food documentary series Rotten (Netflix, 2018–2019) offers a sobering account of how disorganized, opaque, and exploitative food systems ruin small producers. While it focuses on the U.S., China, and Latin America, the core lessons are deeply relevant to Botswana’s farmers:

“What destroys the farmer isn’t drought or pest—it’s the silence before the market crashes.”


🚨 Key Lessons from Rotten

Episode ThemeUnderlying FailureResult for Farmers
Honey FraudLack of quality regulation & import controlLocal beekeepers undercut & collapse
Garlic DumpingUnregulated trade, forced labor, price floodingLocal garlic growers sued, outcompeted
Poultry ConsolidationNo control over contract terms, production quotasChicken farmers left with losses
Milk & Fish EpisodesNo demand forecasting, oversupply, regulatory chaosPrices crash; family farms shut down

🇧🇼 The Botswana Parallel

Farmers across Botswana face the same pattern of systemic vulnerability:

  • They produce without visibility into national or global demand.
  • They invest heavily without guaranteed buyers.
  • They enter markets that can be flooded by cheaper imports or fail due to price crashes.
  • Their fate is sealed when production is treated as individual initiative, not collective strategy.

🔑 Policy Recommendation: Coordinate Agricultural Production

Botswana can avoid this fate—not through state ownership, but through central coordination with decentralized production.

What Needs to ChangeHow to Implement It
❌ Farmers produce blindly✅ Establish seasonal production permits & quotas based on national + export demand forecasts
❌ No market visibility✅ Develop a National Agricultural Intelligence Platform (real-time price, supply, demand)
❌ Weak farmer associations✅ Mandate and professionalize crop-specific national producer boards
❌ Reactive policies✅ Use predictive modeling, weather & trade analytics to plan ahead
❌ No export assurance✅ Pre-negotiate contracts via Export Market Councils (public-private)

📈 Strategic Benefits

  • Reduces price volatility for both producers and consumers
  • Prevents overproduction gluts and underproduction shocks
  • Builds investor confidence in agribusiness supply chains
  • Protects smallholder farmers from being the last to know—and the first to suffer

🧠 The Rotten Test: Ask of Any Policy

“Does this system give the farmer clear, real-time information about how much to produce, when to produce, and where it will go?”

If the answer is no, the policy—like the food systems exposed in Rotten—may be setting them up for failure.


📌 Closing Note

The stories of collapsed garlic farms, ruined poultry growers, and poisoned fishers in Rotten show us one thing: a happy family at the breakfast table doesn’t come from heroic individual effort—it comes from a system that plans, protects, and pays. Botswana’s farmers deserve no less.


Unemployment – Understanding and Resolving its Persistent Nature: A Systems Thinking Approach (Part 2)



📅 Date Published

April 28, 2024


Main visual: Flowchart-style illustration showing system traps (feedback loops and delays).
(Ensure this visual is saved or embedded when republishing.)


📖 Index – Part 2: The Pathway Forward

Introduction: What We Covered in Part 1
Quick recap and transition into actionable areas for reform

Why Manufacturing and Agriculture Struggle to Grow
The education-sector mismatch and weak value chain integration

The Family Structure and the STEM Gap
How early cognitive development affects long-term workforce capacity

The Entrepreneurial Trap
Why relying solely on entrepreneurship won’t solve systemic unemployment

Building a National Economic Coordination Engine
The missing institution to align government, industry, and communities for transformation

Sector Strategy: Plugging into Regional Demand
Opportunities to scale manufacturing across SADC and beyond

Closing Reflections and Next Steps
Call to action for government, private sector, and citizen co-creators


Opening Paragraph: Digging Deeper into the System

From Structural Insight to Societal Design


In Part 1, we uncovered how Botswana’s unemployment crisis is not simply an economic issue—it is the result of a system that was never structurally designed to absorb all its people into productive work. We explored how this system creates persistent gaps between education, enterprise, and employment, and why sectors like agriculture and manufacturing—though full of potential—have remained underutilized.

Part 2 continues this journey with a deeper look into the social systems and feedback loops that silently reinforce the status quo. It expands the lens to include:

  • The education pipeline and its disconnect from labour market realities
  • The overlooked influence of family structure in shaping national STEM capacity
  • The limits of entrepreneurship as a one-size-fits-all solution
  • And the capabilities mindset needed to rebuild a labour market that generates meaningful, inclusive employment

Together, these insights challenge us to move from temporary fixes to structural redesign—not just of the economy, but of the cultural, educational, and institutional systems that make it work.


Section 1: The Labour Absorption Gap

At the heart of Botswana’s unemployment crisis lies a structural gap: the economy is not designed to absorb its own people into productive, formal employment.

Every year, thousands of young people complete their education and enter the labour market. This is not a surprise—it is a predictable outcome of birth and schooling patterns observed 15 to 20 years earlier. Yet, despite this foresight, there is no built-in mechanism to ensure the economy expands in ways that absorb this growing workforce.

“We know when children are born, but we do not prepare the economy to receive them as workers.”

Instead of proactive planning, job creation is often treated as a reactive policy issue, tackled after economic pressures surface. The result is a growing backlog of underutilized talent, particularly among the youth, and rising social and economic strain.

What makes this more serious is that the labour force continues to grow, while the sectors best positioned to absorb labour—such as agriculture, manufacturing, and STEM-related services—remain either underdeveloped or stagnant. The informal sector temporarily absorbs some of this pressure, but it lacks the structure, protections, and scalability needed for long-term national prosperity.

This labour absorption gap is not a failure of individuals—it is a failure of system design. And until it is addressed at the structural level, any attempt to reduce unemployment will only scratch the surface.


Section 2: Skills Mismatch

LIMITS TO GROWTH OF MANUFACTURING & AGRICULTURE ECONOMIC SECTORS IN BOTSWANA


At the heart of Botswana’s labour market stagnation lies a persistent misalignment between education outcomes and economic sector needs. Despite steady investments in schooling and training, the pipeline from education to employment—especially in high-absorption sectors like agriculture and manufacturing—remains weak.

A System Designed Without Absorptive Capacity

A systems diagnosis reveals that the current configuration of the education system is structurally geared toward soft sciences—fields such as business studies, humanities, social sciences, and education. While these disciplines are valuable to a functioning society, they do not offer the absorptive scale or productivity gains necessary for industrial growth, economic self-sufficiency, or widespread job creation.

As a result, Botswana’s two most labour-intensive sectors—agriculture and manufacturing—remain underdeveloped, contributing a fraction of what the retail and service sectors do. In some cases, they generate as little as one-fiftieth the revenue of the retail sector.

“An economy that avoids production cannot scale employment. It can only circulate consumption.”

What’s Limiting the Shift?

Despite widespread awareness of the need for STEM-related skills, the transition has been slow. Several interlocking factors explain this:

  • Educational history and social perception: STEM disciplines are widely perceived as harder, less accessible, and more intimidating—especially in communities with weak early exposure to math and science.
  • Limited technical infrastructure: Vocational and technical training institutions remain under-resourced and under-prioritized.
  • Career pipeline uncertainties: Even employers in STEM-related industries often struggle to offer long-term pathways for growth or specialization, discouraging students from entering or staying in the field.
  • Policy fragmentation: Education policy, economic planning, and labour market development operate in silos, with limited coordination or shared goals.

The Resulting Skill Mismatch

Only 10% of graduates complete qualifications in science or applied science fields. Of this:

  • About 6% are in engineering
  • About 7% in the hard sciences
  • Less than 1% have training relevant to manufacturing

These proportions reflect tertiary-educated populations, meaning even fewer within the broader labour force possess the hard science and technical skills required for scaling production and industrial competitiveness.

Meanwhile, fields that don’t require economies of scale—such as nursing, teaching, or civil service—continue to grow, because they are state-funded and do not face direct market pressure to turn a profit.

This creates a self-justifying narrative: “We are better off pursuing white-collar jobs, where the money and security lie,” even though these sectors offer limited employment elasticity.

Where STEM Skills Still Matter

The paradox is that even in non-STEM jobs, transferable STEM skills—critical thinking, problem-solving, data literacy—are becoming more valuable across all sectors. Yet, Botswana’s slow pivot to STEM is not just about curriculum—it reflects a deep structural dependency on government employment and a lack of market-driven pathways for applied science fields.

What’s Needed

To unblock this feedback loop, Botswana must:

  • Rebalance tertiary education priorities, with aggressive incentives for STEM fields
  • Strengthen early exposure to math, science, and technical learning in primary and secondary schools
  • Invest in technical colleges and vocational training centres with modern equipment, qualified instructors, and employer partnerships
  • Create visible career ladders in agriculture, manufacturing, and industrial trades, backed by both private investment and public policy
  • Change the story: Productivity-driven work—whether on farms, in factories, or in labs—must be reframed as noble, necessary, and rewarding.

This is not only a matter of jobs. It’s about redesigning the architecture of Botswana’s future—where learning meets labour, and effort meets opportunity.


Section 3: The Role of the Household

Source: Statistcs Botswana

The data indicate a growing trend of children being born into households without a resident male figure, with ex-nuptial births rising to over 84% in 2022 and projected to reach near-universal levels by 2030. This represents a profound shift in family structure, where mothers—often unsupported by partners—assume the full responsibility of child-rearing. Many of these mothers are themselves unemployed and reliant on social support or informal networks, which further compounds the vulnerability of the household. This dynamic has socio-educational implications for children, particularly in shaping their early exposure to diverse intellectual development influences.

As a result children raised in such households tend to perform better in soft disciplines such as social sciences, education, and healthcare (as the earlier graphs here show), but struggle to match their peers in STEM (Science, Technology, Engineering, Mathematics) subjects. This pattern is linked to the absence of consistent male mentorship, which tends to play a formative role in developing a child’s abstract reasoning and spatial cognitionskills foundational to mastery in mathematics, physics, and technical fields. As STEM demands greater persistence and conceptual integration, children from single-parent households may face systemic disadvantages in accessing these domains, both cognitively and structurally.

This learning gap carries serious consequences for Botswana’s broader economic aspirations. The manufacturing and agriculture sectors—critical to national productivity—depend on a technically skilled workforce proficient in mathematics, science, and language. Without a strong STEM pipeline, these sectors remain underdeveloped, with low profitability and a limited base of competent talent to scale operations. If current trends persist, the absence of foundational male-led household balance will widen the STEM gap, constraining Botswana’s ability to build resilient, innovation-driven value chains in agriculture and manufacturing—further entrenching unemployment and economic fragility.


FROM PRODUCTIVE IDENTITY TO SURVIVAL ADAPTATION

As productive absorption weakens across societies for prolonged periods, populations do not simply stop adapting economically. Instead, many increasingly reorganize themselves around what may be termed a survival adaptation economy — an expanding sphere of unstable monetisation, layered side-income dependence, transactional networking, and short-horizon opportunity seeking that emerges when stable productive pathways become increasingly inaccessible. While some forms of adaptation remain constructive and entrepreneurial, the long-term structural concern emerges when the system increasingly rewards adaptive extraction faster than productive mastery, slowly reshaping the emotional and developmental incentives within society itself.

Under conditions of chronic instability, many children grow up within environments where economic uncertainty, fragmented authority systems, time scarcity, emotional inconsistency, and adaptive stress management become normalized parts of daily life. Such environments often produce highly adaptive forms of intelligence — including rapid social scanning, improvisation capacity, emotional calibration, and opportunity sensitivity — which are valuable survival traits under unstable conditions, but which may not naturally align with the long-cycle developmental requirements of engineering, industrial discipline, technical specialization, scientific research, or institutional leadership. The concern therefore is not that populations stop working, but that societies gradually drift from long-horizon productive identity toward short-horizon adaptive survival behaviour, particularly when productive sectors fail to expand fast enough to absorb rising populations meaningfully.


THE GLOBAL EXPANSION OF THE HUSTLING ECONOMY

This phenomenon is not unique to Botswana. Across large parts of the world, prolonged deindustrialization, rising inequality, labour fragmentation, urban precarity, weakened apprenticeship systems, and expanding attention economies have increasingly pushed populations toward adaptive survival monetisation systems that exist outside stable productive absorption. While precise measurement remains difficult, global patterns increasingly suggest that between 40–55% of the world’s adult population may now participate in some form of adaptive or extractive survival economy, especially when including layered side-income dependence, gig precarity, informal monetisation, speculative trade, attention-driven income generation, and unstable transactional work systems.

Historically, stable agrarian and industrial systems anchored populations to reality-based developmental structures requiring patience, coordination, delayed gratification, craftsmanship, and intergenerational continuity. However, as productive sectors weaken without equivalent productive absorption elsewhere, adaptive survival intelligence increasingly becomes economically rewarded, particularly within highly urbanized and digitally mediated environments. The rise of smartphones and platform economies has accelerated this shift dramatically, allowing visibility itself to become monetisable at planetary scale through emotional stimulation, algorithmic attention, identity signalling, outrage circulation, parasocial engagement, and psychological capture economies that increasingly compete against long-cycle productive development for human attention and aspiration.


ESCALATION WITHIN THE HUSTLING ECONOMY

As larger portions of populations enter unstable monetisation systems simultaneously, the hustling economy begins generating its own reinforcing pressures through the dynamics of the Escalation archetype. As more people compete for shrinking margins, unstable opportunity spaces, customer attention, emotional engagement, and side-income streams, competition intensifies beyond ordinary productive effort into increasingly aggressive forms of adaptation. Under these conditions, signalling, emotional leverage, performative visibility, tactical opportunism, and psychological monetisation begin scaling faster than stable productive capability itself.

Initially, many participants compete through effort, creativity, service, adaptability, and persistence. However, as competition intensifies and margins compress, the system increasingly rewards behaviours that maximize visibility, emotional responsiveness, speed, manipulation, and extraction rather than depth, specialization, trust, or long-term mastery. This gradually shifts the emotional architecture of economic participation itself, as individuals begin observing that adaptive extraction often produces faster returns than patient productive development, particularly within highly unstable and attention-driven economies where immediate monetisation becomes psychologically and economically rewarded.

Over time, escalation within survival economies gradually weakens the very foundations required for productive-sector formation. Productive sectors require stable concentration, apprenticeship endurance, institutional trust, long-horizon planning, technical discipline, coordinated investment, and social cooperation across extended periods of time. Yet escalating survival economies increasingly reward rapid adaptation, self-promotion, emotional signalling, tactical flexibility, and short-cycle monetisation, producing a reinforcing loop where weakened productive absorption drives more survival adaptation, which in turn further weakens society’s capacity for long-term productive rebuilding.


WHEN EXTRACTION BECOMES NORMALIZED

One of the deepest dangers within prolonged survival economies is not unemployment alone, but the gradual normalization of extraction as a legitimate pathway toward survival, recognition, stability, and identity. Under persistent instability, populations increasingly rationalize opportunistic behaviours not necessarily because morality disappears, but because ethical horizons compress under prolonged economic pressure, institutional distrust, and competitive survival conditions. Over time, manipulation, corruption, emotional exploitation, transactional relationships, exploitative networking, and asymmetrical advantage-seeking gradually become socially tolerated adaptive behaviours within increasingly strained economic systems.

Importantly, criminal economies rarely emerge in isolation from these wider extraction dynamics. Rather, prolonged extraction environments often narrow the psychological distance between adaptive monetisation and criminal monetisation, particularly where productive pathways remain persistently inaccessible. Under such conditions, fraud, cybercrime, narcotics circulation, coercive informal economies, theft, organized scams, and violence-linked extraction systems may increasingly emerge as escalated forms of adaptive survival behaviour within populations already conditioned toward short-horizon economic adaptation and weakened institutional trust.


THE WEAKENING OF THE PRODUCTIVE ECONOMY

The long-term danger for nations is that productive economies are not built merely through infrastructure, policy announcements, or financial capital alone. Productive economies also require populations developmentally capable of sustained concentration, delayed gratification, emotional regulation, institutional navigation, technical specialization, apprenticeship endurance, and long-cycle coordination across generations. When escalating survival systems increasingly reorganize societies around short-term adaptation, emotional monetisation, and unstable extraction pressures, the developmental foundations required for building engineers, industrial technicians, researchers, scientists, productive entrepreneurs, and systems leaders gradually weaken beneath the surface of economic activity itself.

This is why the persistence of unemployment cannot be understood only through the lens of jobs statistics or labour-force participation rates. The deeper structural concern emerges when societies slowly drift from value creation toward survival extraction, from productive coordination toward adaptive monetisation, and from long-horizon development toward short-horizon survival signalling. Under such conditions, economic activity may continue expanding numerically while the productive coherence of society weakens simultaneously, leaving nations increasingly active economically, yet progressively more fragmented psychologically, institutionally, and developmentally over time.


RESTORING BALANCE: REBUILDING FAMILY FOUNDATIONS TO STRENGTHEN NATIONAL RESILIENCE

To reverse the trend of growing male absence in households and its downstream effects on education and national productivity, national policy must shift from reactive punishment of gendered violence toward proactive systems that support healthy family formation and gender-balanced co-parenting. Families, communities, and institutions must be reoriented to treat fatherhood not merely as financial provision, but as an equally critical emotional and cognitive presence in the home.

Policies should focus on school-based and community-led programs that rebuild male identity around accountability, purpose, and interdependence—particularly in how boys learn to process emotions, resolve conflict, and lead without coercion. At the same time, national strategies must foster environments where young women are empowered to choose family partnerships from a position of strength and mutual respect, not economic desperation. Only through restoring dignity and functional roles for both genders within the household can Botswana shift the trajectory of family fragmentation and rebuild the foundational conditions for STEM learning, employment, and long-term national resilience.

Botswana’s persistent unemployment is not only economic or educational in origin—it is deeply social and familial. A closer look reveals that the very foundations of how children are raised, mentored, and prepared for the world of work carry profound implications for the country’s STEM capacity, labour readiness, and economic diversification.

Cognitive Development Starts at Home

By 2022, 84% of births in Botswana were ex-nuptial, with projections pointing to near-universal levels by 2030. This marks a dramatic restructuring of family life, where female-headed households—often without resident male support—carry the weight of child-rearing, often under significant economic strain. Many of these women are themselves unemployed or dependent on informal networks or social grants, which limits their ability to provide sustained cognitive enrichment for children.

The long-term implication? A large portion of Botswana’s youth develops strong capacities in social, emotional, and communicative skills, but lags behind in STEM disciplines—especially in mathematics, engineering, and physical sciences.

Research and behavioural patterns show that male mentorship—particularly through father figures—plays a critical role in fostering abstract reasoning, spatial cognition, and systems thinking, all of which are foundational to technical mastery in STEM fields.

“Botswana’s children are not failing STEM. STEM is failing to meet them where they are—and failing to reach the homes where foundational development should begin.”

Downstream Effects on National Sectors

This learning gap doesn’t stop at school. It extends into the economy. Sectors like agriculture and manufacturing, which rely on technical, spatial, and mechanical reasoning, continue to suffer from a lack of skilled labour. Despite their potential to absorb large segments of the unemployed population, these sectors remain underdeveloped and uncompetitive—not because of funding alone, but because of a shortage in the foundational STEM capabilities that underpin profitable, scalable operations.

Without a deliberate strategy to rebuild the cognitive and emotional ecosystem in households, Botswana risks reinforcing the very structural traps that sustain long-term unemployment.

Why the Family System Matters to Economic Planning

This is not just a moral or cultural concern—it is a strategic one.

Economic growth, industrial competitiveness, and technological innovation begin with brain development, mentorship, and multi-parental support in the early years. Without that, later reforms in education, vocational training, or entrepreneurship will not yield the intended systemic shift.

This family structure imbalance has also supported the expansion of employment in white-collar and social service roles (e.g. healthcare, teaching, government), which tend to be more forgiving of emotional labour gaps but do not require technical scale or global competitiveness.

Meanwhile, more masculine-coded, production-driven industries, which demand precision, long-term focus, and mechanical thinking, are either avoided or underutilised—widening the skills gap and deepening economic fragility.


The role of intact families in economic transformation is often misunderstood as moral or cultural. It is neither.
As this study shows, productive economies—particularly those requiring STEM depth, manufacturing precision, and systems competence—depend on long-horizon learning and apprenticeship. Those capacities are not transmitted episodically through short-term training or policy cycles; they are compounded slowly through stable relational environments. Where families are intact, children inherit patience, delayed reward, and confidence in continuity. Where families are structurally fragile, learning horizons shorten and skill accumulation leaks. A companion analysis (“Violence Starts in Silence”) examines how prolonged unemployment, migration, and economic exclusion thin family stability itself—creating a reinforcing loop in which weakened families further undermine the very skill base productive economies require. Economic strategy, therefore, cannot be separated from the conditions that allow families to form, stabilise, and transmit belief forward.


Restoring Balance: Fatherhood, Identity & Resilience

To reverse these trends, Botswana must design holistic interventions that reframe fatherhood—not merely as financial contribution—but as an essential cognitive and emotional pillar in national development.

Key strategies include:

  • Shifting public policy from reactive punishment of gender-based violence to proactive support for healthy family formation and co-parenting
  • Embedding father-positive identity work in schools and communities: teaching boys to resolve conflict, lead with emotional intelligence, and value interdependence
  • Empowering girls and young women to choose family partnerships out of mutual respect, not economic survival
  • Developing curricula and parenting models that recognise the neurocognitive link between household stability and STEM success

“When we restore balance at home, we lay the cognitive and emotional groundwork for economic resilience in the nation.”


Build A Nation Ready to Compete Starts at Home: Building Botswana’s Production-Ready Future

Reclaim the household as the first economy—the place where work ethic, discipline, resilience, and self-sufficiency are formed. Botswana’s pathway to enduring prosperity lies not in aid or consumption, but in cultivating a tech-smart, production-ready workforce—an engine of national transformation that can power the next generation of agriculture, manufacturing, and export-oriented enterprises.

We must train not just for employment, but for global competitiveness. This means equipping citizens with technical competence, entrepreneurial mindset, and systems thinking—alongside a national culture that values efficiency, learning, and precision. It is no longer enough to aim for participation in the economy. We must become builders of it.

Industrial growth must be anchored in people-powered productivity. Let us shift from a model of aid-dependent employment to one of export-led livelihoods—grounded in long-term strategy, backed by modern infrastructure, and evaluated by how much value we create and retain at home.

Small Nation, Global Standards

Botswana’s size is not a constraint. It is our strategic advantage. We can move faster, integrate lessons quicker, and manage costs more smartly than our global competitors. With the right tools and mindset, Botswana can outperform much larger economies by focusing on high-efficiency production and smart value-chain integration.

If we focus our energy on cultivating a labour force designed for precision, discipline, and innovation, there is no reason Botswana cannot become a sought-after hub—first in SADC, then the continent, and globally.

This is our opportunity to lead—not just because we must, but because we can.


Summary of Implications

  • Unemployment is not only about a lack of jobs, but about a shortage of readiness—cognitively, emotionally, and structurally
  • The STEM education gap begins in early childhood, especially in father-absent homes
  • Key sectors cannot expand without a technically skilled labour force
  • White-collar sector growth is not absorbing enough workers to sustain economic growth
  • Economic dependence models (on grants, remittances, and retail) are crowding out productivity models
  • To break this cycle, Botswana must invest in:
    • Foundational household systems
    • STEM pathways starting from early childhood
    • Gender-balanced parenting
    • Sector strategies tied to human development

Section 4: Feedback Loops in Action

When seen through a systems lens, Botswana’s unemployment crisis is not a series of disconnected challenges—it is a tightly woven pattern of reinforcing feedback loops.

Each of the structural issues explored so far—labour absorption gaps, skills mismatches, and household instability—feeds into and amplifies the others.

“Low productivity leads to low wages. Low wages weaken households. Weakened households undermine learning. Poor learning reinforces low productivity.”

This creates a self-reinforcing cycle, where the effects of one issue become the causes of another:

At the national level, these loops trap Botswana in a cycle where investments yield minimal systemic return, because they do not address the structures that are recreating the problem.

What appears to be a policy gap or implementation failure is, in fact, the behaviour of a system designed in such a way that it continually reinforces its own stagnation.

Until these feedback loops are disrupted, interventions will continue to treat symptoms rather than shift outcomes. Short-term successes will be absorbed into long-term patterns—and unemployment will persist.

“In systems thinking, the challenge is not to find someone to blame—it’s to find the loop you need to work at to reverse its effects – from its negative to its positive form.”


Section 5: The Entrepreneurial Trap

Why relying solely on entrepreneurship won’t solve systemic unemployment

Botswana, like many emerging economies, has championed entrepreneurship as the primary solution to unemployment. While entrepreneurship is an essential part of a dynamic economy, the push for everyone to become a “job creator” overlooks deeper structural realities.

Our study finds that entrepreneurship alone cannot solve persistent unemployment for three key reasons:

Structural Barriers Remain:
Many aspiring entrepreneurs face systemic constraints—such as limited access to startup capital, weak value chains, low local demand, and inadequate market infrastructure. These barriers prevent even the most enterprising individuals from succeeding at scale.

The Labor Market Needs Rebuilding:
Before entrepreneurship can flourish equitably, Botswana must rebuild its labor markets and strengthen its enterprise ecosystem. That means creating a broader base of functional, mid-sized firms that can employ others, mentor smaller startups, and stimulate demand.

Risk Is Not Equally Distributed:
The entrepreneurship narrative often shifts risk onto individuals—especially the youth—without reforming the broader systems that enable business survival. In effect, many young people are encouraged to pursue entrepreneurship out of necessity, not opportunity, which only deepens economic insecurity.

Instead of promoting entrepreneurship as a standalone solution, the study recommends investing in sectors that can:

  • Absorb large numbers of skilled and unskilled workers;
  • Offer stable jobs and structured career pathways;
  • Foster local supplier networks where entrepreneurship can take root with institutional support.
  • Only 10% of the population is entrepreneurs.
  • Of these, 70% are survivalist / opportunitistic entrepreneurs, with no long-term plan to employ workers, while only 30% are growth-oriented.
  • This highlights why entrepreneurship—on its own—cannot carry the weight of systemic job creation.

When entrepreneurship is nested within a productive, coordinated value-chained economy—rather than seen as a replacement for it—it becomes a powerful tool for resilience and innovation.


Section 6: Coordinating the Economy for Systemic Transformation

Despite years of targeted reforms and investment initiatives, Botswana’s economy continues to fall short of its employment, productivity, and diversification targets. Our study shows that this is not due to a lack of will or capital, but to the absence of systemic coordination, misaligned leverage points, and the failure to embed long-term competitiveness in foundational sectors.


1. The Need for a National Economic Coordination Engine

Botswana’s current transformation framework is led through ministry silos, isolated reform units, and project teams. While well-intentioned, this approach lacks the capacity to synchronize cross-sector planning, create enduring institutional memory, and drive multi-year industrial development.

A central economic coordination engine is urgently needed—one that:

  • Connects MITI, BITC, private producers, educational institutions, and investor ecosystems
  • Sequences industrial development (upstream → midstream → downstream)
  • Sequencing value-chain development across time and geography
  • Tracks workforce readiness and adapts education-to-labour pipelines in real time
  • Functions outside short-term political and project cycles

“We cannot build an economy through siloed enthusiasm. It needs a brain that sees the whole body and coordinates its movement.”

This is the missing engine—a cross-sectoral national body that can drive, steer, and synchronise the country’s economic transition.

Such a structure should:

  • Be empowered to guide long-term industrial sequencing and regional trade competitiveness
  • Monitor workforce readiness and gaps in real time
  • Anchor its work in both national development and systems thinking
  • Operate beyond political or project cycles

Without this coordination mechanism, reform will continue to stall and progress will be patchy, fragile, and reversible.


2. Household Systems Are the Hidden Leverage for STEM and Productivity

The study has shown a powerful, overlooked factor: household structure. Over 84% of children today are born outside of formal unions—many into single-parent homes where financial, emotional, and cognitive resources are limited.

This fragmentation hinders:

  • Early development in abstract and spatial reasoning (vital for STEM)
  • The confidence and discipline required to pursue science-based careers
  • Gender-balanced learning environments that support persistence and long-term planning

Only 10% of graduates are trained in applied sciences or engineering. This is not just an education problem—it’s a social systems issue, stemming from the ground-up. Without deliberate intervention, our factories and farms will continue to struggle—not from lack of capital, but from a weak pipeline of technically competent talent.


3. Build to Sustain a Strong, Self-Resilient Economy

Botswana is uniquely positioned to expand its manufacturing base by tapping into unmet regional demand—especially within the SADC region, where intra-African trade remains underdeveloped.

Rather than continuing to depend on extractive industries or retail imports, Botswana can reposition itself as a regional producer of essential goods. The key is to plug into value chain gaps and high-demand products that are currently being sourced from outside the continent.

Priority Sectors with Regional Demand Potential:

🏗️ Agro-Processing and Food Manufacturing

  • Canned/frozen produce, milled grains, dairy, meat products, juices, sauces, animal feed
  • 📌 Why it matters: Most are imported into SADC from South Africa, Brazil, and Europe, despite regional raw produce being available.

🧼 Essential Consumer Goods

  • Soap, toothpaste, sanitary pads, school supplies
  • 📌 Why it matters: Basic goods still largely imported—Botswana can become a lower-cost, nearer alternative.

🧵 Textiles and Garments

  • School uniforms, workwear, basic garments
  • 📌 Why it matters: Regional markets (Zimbabwe, DRC) import from Asia—Botswana can serve SADC with faster delivery and lower shipping costs.

🧱 Construction Materials

  • Roof sheets, cement, steel frames, precast items
  • 📌 Why it matters: Construction boom in SADC needs affordable, local materials—Botswana is well-positioned geographically.

💊 Pharmaceuticals and Medical Consumables

  • Generic drugs, gloves, bandages, veterinary medicines
  • 📌 Why it matters: Many countries import 70–90% of these—Botswana can build a clean, trusted base for production.

⚙️ Automotive and Machinery Assembly

  • Farm tools, vehicle spares, irrigation kits
  • 📌 Why it matters: Regional farmers depend on imports—Botswana can be a reliable assembly and service base.

🔌 Packaging Materials

  • Plastic, cardboard, labels, paper-based packaging
  • 📌 Why it matters: Every regional producer needs packaging—Botswana can become a packaging hub.

✅ Implementation Strategy:

  • Locate industrial clusters along trade corridors (e.g., Lobatse, Francistown, Palapye)
  • Leverage SACU and SADC agreements for near-captive regional markets
  • Attract anchor firms with procurement incentives and public-private partnerships
  • Align skills development with product-specific industrial goals
  • Use AfCFTA to eventually scale toward continental market leadership

“We are not short on vision. We are short on synchronised execution. A well-planned manufacturing base will create the jobs our economy desperately needs.”


4. Building an Industrial Base Requires More than Capital Injection

Historically, Botswana’s agriculture and manufacturing sectors have consistently failed to generate sustained profits or absorb labour. This is not for lack of funding, but because:

  • Productivity remains low,
  • Input costs remain high,
  • Workforce skills are mismatched,
  • And sectors operate in silos with no connected value chains.

We cannot build these sectors organically. They must be engineered deliberately, with intentional sequencing, backward-forward linkages, and a consistent domestic and regional market focus.


5. Embed Job Creation into Economic Expansion

Economic growth alone will not solve unemployment. Botswana must intentionally embed employment outcomes into its development plans.

That means:

  • Prioritising labour-absorbing sectors like agriculture, local manufacturing, and service supply chains
  • Moving from extractive and retail dependency to production-based economies
  • Creating incentives for firms to adopt scalable, competitive, and job-generating models
  • Redesigning vocational and tertiary education to serve the production economy—not just the government or service economy

“True transformation happens when economic activity creates income, dignity, and participation at scale—not just profit.”

Key Quote (pullout):

“Unless employment is built into the structure of the economy, the workforce will keep outgrowing opportunities—and the cycle will continue.”


Yes, we do have content that aligns with “Closing Reflections and Next Steps” from the final sections of Part 2. Below is a refined version that fits the tone and purpose of a call to action for government, private sector, and citizen co-creators:


Section 7: Closing Reflections and Next Steps

A Call to Action for Government, Private Sector, and Citizen Co-Creators

The study reveals that persistent unemployment in Botswana is not just an outcome of economic underperformance—it is a structural reality reinforced by deep, interconnected systems: weak sectoral coordination, a misaligned education pipeline, fragmented family structures, and economic dependence on a narrow base of extractive and retail activity.

To reduce the effects of this negative cycle and harness its positive effects instead, we must stop viewing unemployment as a standalone problem and begin to see it as a system to be redesigned. This means:

🔹 For Government:

  • Create a National Economic Coordination Engine that aligns ministries, industry, educators, and communities.
  • Shift from ministry-specific projects to a shared, long-term strategy that strengthens productive value chains.
  • Rebuild trust and traction through inclusive planning platforms that invite cross-sector leadership and long-range thinking.

🔹 For the Private Sector:

  • Recognize your role not just as investors, but as co-creators of national productivity and employment ecosystems.
  • Invest in skills development and vocational pipelines aligned with the needs of agro-processing, manufacturing, and strategic services.
  • Partner in building regional supply chains—with local procurement strategies and scalable models that anchor growth.

🔹 For Citizens and Households:

  • Reclaim the household as the first economy—the place where work ethic, discipline, resilience, and self-sufficiency are formed.
  • Advocate for STEM literacy and family balance, not just as personal goals, but as national priorities.
  • Reimagine employment as a shared, societal outcome—not just the responsibility of the state or market.

“Botswana has what it takes to shift from economic fragility to generative resilience. But the shift won’t come from another round of spending—it will come from a new commitment to learning, alignment, and long-range systems design.”

Let us not lose this moment. Let us design together—across sectors, institutions, and generations. This study is not the final word; it is the invitation.


Conclusion: From Insight to Action

This study offers not just analysis, but a roadmap for redesign. Through systems thinking, we can move beyond short-term fixes and begin building a structure where every Batswana has a fair shot at meaningful work.

Botswana is not short of effort, intention, or resources. What it lacks is a system that can absorb, develop, and circulate human potential at scale. This study has shown that unemployment is not a policy failure—it is a structural consequence of how we’ve designed, connected, and reinforced our core institutions.

But systems can be redesigned.

Through systems thinking, we can now see the loops, gaps, and leverage points clearly. We know where to shift. The choice ahead is whether we will continue to operate on inherited assumptions—or rise to redesign the economy for inclusion, productivity, and regeneration.

“The future will not be built by accident. It must be structured.”


Related Articles:

When Economy Speaks … The Global Diamond Market


Strategic Insight Brief: Understanding the Crisis in the Diamond Industry

Global demand for natural & lab-grown diamonds combined has dropped by more than 30%

Policy Brief

Title: Reimagining the Diamond Industry’s Role in National Development

Date: June 2025
Prepared by: Ms Sheila Damodaran, STRLDi, Botswana


Executive Summary

The global diamond industry is undergoing a profound transformation. Driven by shifting generational values, declining cultural relevance, and the rise of lab-grown alternatives, overall diamond consumption has dropped by 30–40% per decade since 2005. If these trends persist, the industry could face near collapse by mid-century. This decline is not due to dwindling reserves but reflects a broader societal shift away from the systems—marriage, stable employment, and cultural rituals—that once gave diamonds their meaning.

Botswana and other diamond-producing nations must confront this reality. The choice is stark: transition away from diamonds as a foundational economic sector, or invest in rebuilding the institutional, cultural, and economic infrastructure needed to sustain diamond relevance globally.


Background

Historically, diamonds contributed substantially to Botswana’s public revenue, infrastructure, and export earnings. Yet the diamond industry is capital-intensive, with limited job creation and weak economic linkages beyond mining. Most value is captured downstream—branding, design, and retail—by foreign entities.

The luxury market where diamonds are sold rarely loops profits back into producer economies. Without downstream control and national branding, countries remain locked into the low-value, high-risk end of the global value chain.


Core Challenge

The structural driver of the diamond market decline lies in societal transformation:

  • Marriage and family formation are declining.
  • Millennials and Gen Z prioritize experiences, sustainability, and ethics over status symbols.
  • Formal employment, a precondition for consumer spending and ritual-based consumption, is eroding.

Lab-grown diamonds, though growing in volume, only delay the broader collapse in symbolic relevance.


Strategic Options for Botswana and Similar Economies

Transition Strategy

Diversify economic reliance away from diamonds toward sectors with stronger employment multipliers (e.g., agriculture, tech, creative industries).

Reinvest the fiscal surplus from diamond sales into education, manufacturing, and entrepreneurial ecosystems.

Revitalization Strategy

Develop a fully localized value chain: cutting, polishing, jewelry design, luxury branding, and retail.

Create Botswana-based luxury brands that connect diamonds to modern, ethical, and culturally relevant narratives.

Build capacity in gemology, retail, and e-commerce infrastructure.

Institutional Renewal

Promote formal employment, family stability, and cultural rituals that restore symbolic value to diamonds.

Support public campaigns that reframe diamond giving for modern contexts (e.g., achievement, self-love, sustainability).


Conclusion

The decline of the diamond market is not a temporary downturn—it is a systemic, structural shift. Botswana must act decisively. Either we transition out of diamonds as the core of our economy, or we invest in revitalizing the social and economic foundations that once made the industry thrive. The diamond’s value was never in the stone alone—it was in the systems that supported its meaning. It is time to choose which path to take.

Contact: STRLDi | Sheila Damodaran | June 2025

Going Back to the Beginning

What has been / or continues to be the role of the diamond market in economy building?

The diamond market is deeply connected to the global economy—but its role in economy building beyond mining, processing, and marketing remains underexplored and unevenly distributed. Here’s a breakdown of how connected it is, and what untapped potential it holds:


Where It Is Globally Connected

Global Value Chains
Diamonds follow a complex journey:

Mining (Botswana, Russia, Canada, etc.)

Trading & Sorting Hubs (Antwerp, Dubai, Mumbai)

Cutting & Polishing (India, Thailand)

Retail (USA, China, UAE)
These links make the market highly interconnected, with shocks in one area (e.g. sanctions on Russia, inflation in the U.S.) having ripple effects globally.

Foreign Exchange and Trade Balances
For producer countries like Botswana, Angola, or Namibia, diamonds are a critical source of export earnings. Their trade performance is often heavily influenced by the global diamond market.

Public Revenue and Infrastructure
In countries like Botswana, diamond revenues contribute significantly to national budgets, funding education, health, and infrastructure.

Finance and Investment Vehicles
In luxury economies, diamonds are now being considered alternative investment assets (like gold), though with mixed success due to valuation opacity.


Where It Falls Short in Economic Building

Limited Industrial Multipliers
Outside of mining and polishing, few countries have leveraged diamonds to create robust industrial ecosystems, similar to those found in oil (e.g., petrochemicals) or agriculture (e.g., agro-processing).

There is limited R&D, design, or technology transfer related to diamonds.

The luxury sector, where diamonds end up, rarely loops back profits into producer economies.

Employment Creation is Narrow
The sector is capital-intensive, especially mining. Beyond artisanal mining (often informal), the job multiplier per carat is low unless local cutting, polishing, or jewelry production is developed intentionally.

Weak Integration with Broader Economic Sectors
Very few linkages are built with:

Tourism (e.g., gem museums, high-end retail tourism)

Education (e.g., geological sciences, luxury branding schools)

Creative industries (e.g., fashion, art, design)

Dependence on Multinationals
Large firms (e.g., De Beers, Alrosa) dominate the extraction and early processing stages. This reduces local ownership and weakens long-term economic resilience.


🔄 Missed Opportunity: Diamonds as a Driver of Diversification

A more systemic understanding of diamonds could transform their role in economic building by:

  • Developing national brands (e.g., “Botswana Diamonds” as a finished product line)
  • Fostering local luxury goods sectors (e.g., high-end jewelry design, fashion)
  • Building educational and technical hubs (e.g., institutes for gemology, retail management)
  • Integrating diamonds with tourism (e.g., high-value travel, showroom experiences)

Conclusion

Globally, the diamond market is highly connected in trade and finance, but weakly connected when it comes to sustainable, inclusive economy building. Most of the economic value is still captured downstream in richer countries. Unlocking its full potential will require reimagining diamonds not just as a commodity, but as a platform for industrial, creative, and service-sector growth.

What is preventing the luxury sector from looping profits back into producer economies?

Several interlinked factors prevent the luxury sector, where diamonds end up, from looping back profits into producer economies:


1. Value Is Captured Downstream

  • Markup happens after the diamond leaves the source country.
    A rough diamond might be sold for $200 at the mine, but once it’s cut, branded, and retailed in Paris or New York, it may sell for $10,000 or more.
  • Most of this margin is captured by brands, retailers, and marketers, not miners or producers.

2. Lack of Control Over the Full Value Chain

  • Producer countries typically do not control:
    • Cutting & polishing centers (mostly in India, Israel, Belgium)
    • Branding and marketing (e.g., Cartier, Tiffany & Co., De Beers)
    • Retail distribution and e-commerce platforms
  • This makes it hard to claim a bigger share of the value pie.

3. Weak Domestic Luxury Ecosystems

  • Most diamond-producing countries lack developed luxury industries:
    • No local high-end jewelry brands
    • Few globally recognized designers
    • Weak logistics, packaging, branding, or export capabilities for luxury goods
  • As a result, they cannot compete at the high-margin end of the market.

4. Foreign Ownership and Concessions

  • Mining rights and upstream operations are often owned or co-owned by foreign multinationals (e.g., De Beers, Alrosa).
  • Even when revenue-sharing agreements exist, they rarely include profit-sharing from final luxury goods sales.

5. Luxury Is Built on Intangible Value

  • The luxury price of diamonds is shaped more by brand, story, and perception than by the physical diamond itself.
  • These intangibles are created and monetized in Western markets, not where the diamonds are mined.
  • Without owning the brand or narrative, producers can’t profit from this intangible premium.

6. Global Trade Structures and Power Imbalances

  • Trade agreements, tax structures, and global finance are often biased in favor of capital-rich countries.
  • Producer countries may face barriers to exporting finished luxury goods or lack leverage to demand better terms from multinationals.

7. Low Local Demand

  • The luxury sector is built on wealthy consumer markets, which are concentrated in the Global North.
  • Without strong domestic demand, it’s harder to justify luxury-focused industries within producer countries.

🔄 Summary

The luxury diamond sector doesn’t loop back profits because the real value isn’t in the stone—it’s in the story, branding, and distribution, which are controlled by entities far from the mine. Without reclaiming more of the downstream chain—design, finishing, branding, and sales—producer economies remain trapped in the low-value, high-risk end of the market.

Diamond Industry Capital Structure

The diamond industry has a very distinct capital structure compared to other leading industries. Here’s a comparative breakdown showing how and why its capital demands stand apart, using key economic dimensions:


1. Diamond Industry

Capital Demand TypeCharacteristics
Upfront CapitalExtremely high – mining exploration, licensing, and equipment often cost hundreds of millions to billions USD.
Working CapitalHigh – especially in polishing, inventory, and speculative trading. Diamonds are held for long periods to maximize returns.
Return CycleLong and uncertain – exploration may take years, and finished diamonds are speculative, driven by luxury market trends.
Barriers to EntryVery high – due to geological scarcity, state concessions, and powerful existing players (e.g., De Beers, Alrosa).
Capital IntensityHigh – requires heavy fixed investment (mining) and expertise-intensive processing (cutting, grading, certification).
Risk TypeGeological, geopolitical, reputational, market volatility (luxury demand), and synthetic diamond competition.
Profit CaptureSkewed downstream – capital tends to flow toward branding and retail, not extraction.

2. Manufacturing (e.g., Automobiles, Electronics)

Capital Demand TypeCharacteristics
Upfront CapitalHigh – large plants, R&D, automation lines, but better amortized over consistent output.
Working CapitalModerate to high – raw materials, labor, and logistics, but with predictable cycles.
Return CycleMedium – structured sales channels and consumer markets.
Barriers to EntryModerate to high – driven by tech and scale, but new entrants like EV startups are rising.
Capital IntensityHigh – but more productive per dollar than diamonds.
Risk TypeMarket shifts, tech disruption, raw material prices.
Profit CaptureAcross value chain – strong brands capture margins, but OEMs and suppliers also share.

3. Agriculture (Commercial Scale)

Capital Demand TypeCharacteristics
Upfront CapitalModerate – land, equipment, and infrastructure.
Working CapitalHigh – tied to seasonal inputs, labor, irrigation, and market delays.
Return CycleShort to medium – usually seasonal, except tree crops.
Barriers to EntryRelatively low – but scale matters for profitability.
Capital IntensityMedium – mechanization improves output, but lower than diamonds.
Risk TypeWeather, disease, price fluctuations, and political interference.
Profit CaptureThin – unless integrated into processing, branding, or export.

Digital Tech (e.g. SaaS, Fintech)

Capital Demand TypeCharacteristics
Upfront CapitalLow to moderate – mainly into software development and talent.
Working CapitalLow–lean operations, scalable servers.
Return CycleRapid–recurring revenue models (subscriptions, transactions).
Barriers to EntryLow for basic platforms; high for trusted or regulated fintech.
Capital IntensityVery low – extremely high return per dollar.
Risk TypeTech obsolescence, data breaches, and platform dependency.
Profit CaptureHigh – High-near-monopoly profits for market leaders.

Summary Table

IndustryUpfront CapitalWorking CapitalReturn CycleBarriers to EntryCapital IntensityProfit Capture Skew
DiamondVery HighHighLongVery HighHighDownstream (Retail)
ManufacturingHighModerate/HighMediumModerate/HighHighShared
AgricultureModerateHighShort/MediumLow/MediumMediumThin (unless integrated)
Digital TechLow/ModerateLowShortLowLowPlatform Owners

Key Insight:

The diamond industry’s capital requirements are heavy, front-loaded, slow-returning, and speculative, with profit largely captured by entities downstream in brand- and consumer-driven markets. This is fundamentally different from more agile, tech-based, or cyclical industries where capital can turn over quickly and returns can be reinvested internally or locally.

Here is a side-by-side costed example in USD of what it would take to start a diamond value chain in Botswana vs an agriculture value chain, assuming each is designed to be fully vertically integrated (i.e., from production to value addition and local or export sales).


A. Starting a Diamond Value Chain in Botswana

StageActivityEstimated Cost (USD)
1. Exploration & LicensingGeological surveys, core sampling, licenses$5–10 million
2. Mine DevelopmentPit/mineshaft construction, equipment, housing$50–100 million
3. Mining OperationsYear 1 operating capital: staff, fuel, maintenance$10–20 million
4. Sorting & Valuation CentreSecure facility + graders, training local staff$2–5 million
5. Cutting & Polishing HubEquipment, clean rooms, skilled labor training$3–6 million
6. Jewelry Design & ProductionEquipment + local design studio setup$0.5–1.5 million
7. Brand & MarketingBuild local diamond brand + export market access$2–4 million
8. Retail (Domestic or Export)Flagship store, e-commerce platform$1–2 million

💰 Total Estimate: $75 million–$150 million+

🔻Note: This excludes downstream risks like inventory holding (millions of USD in rough/finished stones) and assumes government cooperation. The ROI cycle is long (7–15 years) and profits are often not retained locally unless tightly controlled.


B. Starting an Agriculture Value Chain in Botswana (Horticulture)

StageActivityEstimated Cost (USD)
1. Land & Soil DevelopmentPurchase or lease (100 ha), soil improvement$100,000–$250,000
2. Irrigation InfrastructureDrip/pivot systems, borehole or dam$200,000–$400,000
3. Greenhouses/NurserySeedling production for value chain crops$50,000–$100,000
4. Farming EquipmentTractors, implements, cold storage$150,000–$300,000
5. Production & OperationsInputs (fertilizers, seeds, labor, energy) Year 1$100,000–$200,000
6. Post-Harvest HandlingPackhouse, sorting, grading, cold chain$100,000–$250,000
7. Processing FacilityValue addition (e.g. drying, juicing, bottling)$200,000–$500,000
8. Brand & Market AccessBranding, packaging, export compliance, logistics$50,000–$150,000

💰 Total Estimate: $950,000–$2.15 million

🔻Note: ROI is faster (1–3 years depending on crop) and job creation is broad across skill levels. There is also room to scale down (e.g., 10 ha model at $250k) or up.


Comparison Summary

FactorDiamond ChainAgriculture Chain
Startup Cost$75M–$150M+$950K–$2.15M
Time to Return7–15 years1–3 years
Job CreationLow (capital-intensive)High (labor-intensive)
Profit ConcentrationDownstream (outside)Can be retained locally
Scalability for LocalsVery limitedHigh
Risk TypeGeological, geopoliticalWeather, price volatility
Policy LeverageConstrained by MNCsHigh flexibility for local govt

Insight:

While diamonds generate massive fiscal revenues, they lock capital, limit participation, and take decades to yield broader socioeconomic value—unless downstream is fully localized.

In contrast, agriculture offers faster, inclusive returns, greater resilience, and broader economy-building benefits per dollar spent.

Here is a visual comparison of the startup capital requirements for launching a diamond value chain versus an agriculture value chain in Botswana. While the diamond sector demands upwards of $100 million, agriculture can be initiated with under $2 million, offering far quicker returns and broader economic participation.

Performance of the Global Diamond Industry

The global diamond industry has undergone dramatic shifts from the 1900s to today, marked by monopoly control, wars, technological disruption, and changing consumer values. Here’s a structured overview of its performance across five key periods:


1. Early 1900s–1940s: Monopoly & Expansion

  • Dominated by De Beers, which controlled over 90% of global diamond supply through a single-channel marketing system.
  • Diamonds were marketed as rare and valuable, although they were relatively abundant.
  • Major discoveries in South Africa, then later in the Belgian Congo and South-West Africa.
  • Rise in industrial use (drill bits, saws) and early gem market for European elites.
  • WWII period: Industrial diamond use surged, while gem sales declined.

🔹 Global Impact:
Consolidated power in the hands of a few players; strong price control and limited transparency.


2. 1950s–1980s: Boom Years & Cultural Dominance

  • The De Beers slogan “A Diamond is Forever” (1947) redefined diamonds as essential for engagement and love.
  • Massive growth in the U.S. consumer market, followed by Japan and Europe.
  • Strong growth in mining outputs from Botswana, Namibia, and Zaire.
  • New cutting hubs established in India (for small diamonds).
  • Cartel-like price stability was maintained by De Beers through stockpiling and supply control.

🔹 Performance Summary:

  • Revenues grew exponentially.
  • Diamonds became a cultural symbol of love and commitment.
  • Strong economic contribution to Southern African economies (e.g., Botswana).

3. 1990s–Early 2000s: Conflict & Competition

  • “Blood diamonds” (conflict diamonds) from Sierra Leone, Angola, and the DRC triggered global backlash.
  • UN sanctions and the Kimberley Process (2003) attempted to restore consumer confidence.
  • Emergence of new players like Alrosa (Russia) and Rio Tinto (Canada, Australia).
  • De Beers’ dominance dropped from 90% to ~40%.
  • Antwerp and Dubai rose as major trade hubs.

🔹 Global Shift:

  • The industry became more fragmented and competitive.
  • Consumer trust became a vulnerability.
  • Increased pressure for ethical sourcing and traceability.

4. 2010s: Disruption & Synthetic Diamonds

  • Growth of lab-grown diamonds (LGDs), indistinguishable from natural diamonds but far cheaper.
  • Millennials and Gen Z challenged traditional narratives—valuing ethics, sustainability, and price.
  • De Beers entered the LGD market with Lightbox (2018) at budget pricing, acknowledging the disruption.
  • China and India emerged as both producers and major consumers.
  • E-commerce changed the diamond buying journey—more transparency, less mystique.

🔹 Performance Reality:

  • Prices for smaller natural stones softened.
  • The industry faced an identity crisis: value, ethics, and romance all questioned.

5. 2020s: COVID, Collapse & Realignment

  • COVID-19 halted supply chains, production, and luxury spending temporarily.
  • But demand rebounded strongly in 2021–2022, especially in the U.S. and China.
  • Since 2023–2024, the market has declined sharply:
    • Oversupply of both natural and lab-grown diamonds
    • Drop in prices—especially for smaller polished diamonds
    • Rising geopolitical tension: Russian sanctions hit Alrosa, diverting supply
    • De Beers IPO postponed; company considering strategic restructuring
  • Producer countries (like Botswana) renegotiated terms to gain more control over downstream benefits.

🔹 Current Landscape:

  • Uncertain demand outlook.
  • Excess inventory and falling prices across many categories.
  • Sustainability, transparency, and local beneficiation are becoming critical.

Performance Snapshot (1900s–2020s)

PeriodKey TraitsControl StructureProfit Concentration
1900s–1940sMonopoly formation, global expansionDe Beers (monopoly)Mining houses
1950s–1980sConsumer boom, diamond myth solidifiedDe Beers (cartel-like)Centralized (SA, UK)
1990s–2000sFragmentation, ethics scandalsMultipolar (Alrosa, etc.)Shifting, partial leakage
2010sDisruption via synthetics, e-commerceMore fragmentedRetailers, labs, brands
2020sCrisis, restructuring, realignmentIn fluxUnclear, margin shrinking

Conclusion:

From a century of dominance under a single cartel to a complex, fragmented, and disrupted global industry, the diamond market has shown strong historical performance, but is now under existential threat. The way forward lies in transparency, beneficiation, sustainable branding, and possibly national value chain repositioning—especially for producers like Botswana.

Here is a timeline summary of the global diamond industry’s performance from the 1900s to the 2020s. It highlights the industry’s evolution in key traits, control structures, and profit distribution across five major historical phases.

Lab-grown diamonds have grown, but have yet to match natural diamonds

The demand for lab-grown diamonds (LGDs) has grown rapidly, but it has not yet matched natural diamonds in total value or volume. However, it is disrupting the market significantly and shows signs that it could reshape demand dynamics, especially in key consumer segments.

Here’s a breakdown:


1. Market Share: Natural vs Lab-Grown (as of 2024)

CategoryNatural DiamondsLab-Grown Diamonds
Global Jewelry Market Value~$70–80 billion~$15–20 billion
Share of U.S. Engagement Rings~60%~40% and rising
Annual Production (Carats)~110–120 million~10–15 million (gem quality)
Average Retail Price per CaratMuch higher~60–85% lower

🔹 Trend:
In the U.S.—the world’s largest diamond consumer market—LGDs made up about 40–50% of engagement rings sold by 2023–2024, up from less than 5% in 2016.


2. Key Growth Drivers for Lab-Grown Diamonds

  • Price Accessibility: Up to 70–85% cheaper than natural diamonds for the same size and appearance.
  • Sustainability Appeal: Seen as more ethical, especially by Millennials and Gen Z.
  • Technological Advancements: Better color, size, and clarity control.
  • Retailer Adoption: Major jewelers (e.g., Pandora, Signet, De Beers’ Lightbox) now offer LGDs.

3. Constraints on Matching Natural Diamond Demand

FactorLimiting LGD Growth
Perceived ValueConsumers still associate natural diamonds with rarity and lasting value.
Resale/Investment ValueLGDs have very low resale value and no investment appeal.
Regulatory ConfusionSome countries require stricter labelling, reducing appeal.
Luxury Brand ResistanceHigh-end brands often refuse to use LGDs to protect their brand exclusivity.

4. Will LGDs Overtake Natural Diamonds?

  • In volume (units sold): Highly likely within the next 5–10 years, especially for smaller stones and mid-range markets.
  • In value (total market size): Unlikely, unless luxury perception radically shifts or natural diamond supply is intentionally constrained.
  • In symbolic/luxury markets, Natural diamonds still dominate due to emotional, cultural, and status associations.

Summary

DimensionLab-Grown DiamondsNatural Diamonds
Market Growth RateHighFlat or Declining
Symbolic ValueEmergingDeeply entrenched
Price TrendFallingStabilized or rising for larger stones
Investment ValueNoneHistorically moderate
Luxury AdoptionLow (except newer brands)High

Final Insight:

Lab-grown diamonds are reshaping consumer behavior, but they are not replacing natural diamonds—yet. The two may evolve into distinct product categories: one for affordable, ethical luxury, the other for status, tradition, and investment.

Comparative Overview of Natural and Lab-Grown Diamond Production

The global diamond industry has experienced significant shifts in production volumes between natural and lab-grown diamonds from 2000 to 2024. Here’s a comparative overview:


Natural Diamond Production (2000–2024)

Natural diamond production peaked in the mid-2000s and has seen fluctuations since:

  • 2005: Approximately 177 million carats were produced globally.
  • 2017: Production reached around 152 million carats.
  • 2019: Approximately 135.8 million carats produced.
  • 2023: Production estimated at 111 million carats. (kenturay.com, voguebusiness.com, nature.com)

These figures indicate a gradual decline in natural diamond production over the past two decades.


Lab-Grown Diamond Production (2000–2024)

Lab-grown diamonds have seen a significant rise in production:

  • 2000–2010: Production was minimal, with most lab-grown diamonds under half a carat. (gia.edu)
  • 2020: Global production estimated at 6–7 million carats. (gia.edu)
  • 2024: Production has continued to grow, with significant contributions from China and India.

While lab-grown diamonds still represent a smaller portion of the market compared to natural diamonds, their share has been increasing steadily.


Comparative Overview

YearNatural Diamonds (Million Carats)Lab-Grown Diamonds (Million Carats)
2005177Negligible
2010~133<1
2015~135~2
2020~1116–7
2024~111Increasing

Key Insights

  • Market Share: Lab-grown diamonds have increased their market share, especially in the U.S., where they account for a significant portion of engagement ring sales.
  • Price Dynamics: The price gap between lab-grown and natural diamonds has widened, with lab-grown diamonds being up to 80% cheaper by 2022.
  • Consumer Preferences: Younger consumers are increasingly opting for lab-grown diamonds due to ethical and environmental considerations.(reddit.com)

In summary, while natural diamonds continue to dominate in terms of total volume, lab-grown diamonds are rapidly gaining ground, reshaping consumer preferences and market dynamics.

Here is a comparative table summarizing natural vs lab-grown diamond consumption across key dimensions:


Comparative Table: Natural vs Lab-Grown Diamond Consumption

DimensionNatural DiamondsLab-Grown Diamonds (LGDs)
Global Market Share (2023)~75–80% by value~20–25% by value; ~35–40% by volume (rising)
Primary ConsumersU.S., China, India, Middle EastU.S. (dominant), India (rising), Europe (select markets)
Use CasesEngagement rings, luxury jewelry, investments, industrialEngagement rings, fashion jewelry, budget luxury, tech use
Consumer MotivationTradition, rarity, long-term value, statusPrice accessibility, ethics, sustainability, and tech-savvy
Age DemographicOlder Gen X, Boomers, luxury-focused MillennialsMillennials, Gen Z, eco-conscious, and price-sensitive buyers
Sales ChannelsBrick-and-mortar retail, luxury boutiquesE-commerce platforms, direct-to-consumer brands
Symbolic ValueHigh (love, permanence, prestige)Emerging (ethical, modern love, innovation)
Resale/Investment ValueModerate to High (depending on cut, size, rarity)Very low resale value
Pricing (per carat)$4,000–$12,000+ (retail, varies widely)~$1,000–$2,500+ (dropping due to overproduction)
Growth Trend (last 5 years)Flat to decliningStrong double-digit growth
Perceived AuthenticityNatural, billions of years oldManufactured, “not real” to some consumers
Environmental/Ethical DebateHigh impact (mining, ecosystem disruption, labor)Lower impact (energy-intensive but cleaner)
Typical Marketing Theme“Forever,” prestige, exclusivity“Affordable luxury,” sustainable love, modern identity

Key Takeaways:

  • Natural diamonds still dominate the high-end and symbolic value space, but their growth is stagnating.
  • Lab-grown diamonds are winning over younger, ethically minded, and value-conscious consumers, especially in markets like the U.S.
  • The volume gap is narrowing, but the value gap remains large, with LGDs positioned more as an affordable luxury or fashion item.

Here is a comparative table showing global consumption volumes of major gemstones—natural diamonds, lab-grown diamonds, emeralds, rubies, and sapphires—from 2000 to 2024. Due to the limited availability of precise annual data for colored gemstones, the figures for emeralds, rubies, and sapphires are presented as approximate averages over five-year intervals.


Global Gemstone Consumption by Volume (2000–2024)

YearNatural Diamonds
(Million Carats)
Lab-Grown Diamonds
(Million Carats)
Emeralds (Million Carats)Rubies
(Million Carats)
Sapphires
(Million Carats)
2000~126Negligible~20~10~160
2005~177Negligible~25~12~128
2010~133<1~30~15~115
2015~135~2~35~18~100
2020~1116–7~40~20~90
2024~111~10+~45~22~85

Notes:

  • Natural Diamonds: Production peaked around 2005 and has since declined due to mine depletion and reduced demand.
  • Lab-Grown Diamonds: Have seen rapid growth since 2010, with significant increases in production and market share.
  • Emeralds: Production has gradually increased, with major contributions from Colombia and Zambia.
  • Rubies: Notable production growth, especially from Mozambique since the discovery of significant deposits in 2009.
  • Sapphires: Production has been declining, with Australia and Madagascar being key sources.(en.wikipedia.org)

Note: The figures for emeralds, rubies, and sapphires are approximate and based on available data from various sources, including the U.S. Geological Survey and industry reports.


What is the meaning of the very first table on this page?

Going back to the very first table on this page, we note that the table visually confirms two major trends:


📉 Key Observations from the Table

Natural Diamond Consumption:

Sharp, consistent decline in volume over the last two decades.

From ~177 million carats in 2005 to ~111 million carats in 2024 = ~37% drop.

Total Diamond Consumption (Natural + Lab-Grown):

Despite the rise in lab-grown diamonds, total volume is still falling.

The combined market is declining at 30–40% per decade.

If trends persist, global diamond consumption could vanish by ~2050.


What’s Driving the Collapse in Diamond Consumption?

1. Changing Generational Values

  • Millennials (those born between 1981 and 1996 – in thier 30s) and Gen Z (1997-2012 in their 20s today) are less interested in traditional symbols like diamonds.
  • Prioritize experiences over possessions.
  • Skeptical of marketing tropes like “relationships like diamond are forever.”
  • Increasing number of the populations across the globe are marrying late or not marrying at all. Their children are growing up in households that do not experience marriages.

2. Affordability vs. Symbolism Crisis

  • Lab-grown diamonds are far cheaper, yet carry lower symbolic value and poor resale potential.
  • This bifurcates the market: traditional buyers age out, while new buyers don’t value diamonds the same way.

3. Saturation and Overproduction

  • Global supply exceeded demand for years, especially post-2010.
  • Lab-grown production capacity (especially in China and India) has flooded the market.

4. Digital-Era Consumer Behavior

  • Online comparisons and transparency have eroded pricing power.
  • Consumers now bypass traditional retailers, cutting retail markup and perceived value.

5. Ethical and Environmental Concerns

  • Mining’s human rights and ecological impact have tarnished the natural diamond narrative.
  • Even lab-grown diamonds are now scrutinized for their energy use and synthetic origin.

6. Lack of Investment Value

  • Unlike gold or art, diamonds are not considered reliable investment assets.
  • Their resale value is often less than 50% of the purchase price.

7. Retailer & Industry Fragmentation

  • The fall of De Beers’ monopoly removed central price control.
  • Fragmented markets and no strong industry-wide innovation have diluted value.

What Is The Average Annual Take-home Income of Diamond Buyers?

The average annual take-home income of individuals purchasing diamond rings or jewelry varies based on the type of purchase and demographic factors.

Engagement Ring Buyers

For engagement rings, buyers typically have higher household incomes:

  • A survey by BriteCo found that over half (53%) of engagement ring purchasers had household incomes of $100,000 or more annually. (amorefinejewelry.com)
  • The average cost of an engagement ring in the U.S. is approximately $5,200, with variations based on location and personal preferences. (theknot.com)

General Diamond Jewelry Buyers

For general diamond jewelry purchases:

  • High-income individuals, particularly those earning $200,000 or more annually, tend to spend the most on jewelry, averaging $1,657 per household. (en.clear.sale)
  • The 45–54 age group, often in their peak earning years, spends the most on jewelry annually, averaging $304.60 per person. (classywomencollection.com)

Purchasing Trends

While traditional norms suggested that men purchase diamond jewelry for women, recent trends indicate a shift:(glamour.com)

  • A significant number of women now purchase diamond jewelry for themselves, reflecting changes in purchasing power and societal norms. (glamour.com)

In summary, while there’s a range in income levels among diamond jewelry buyers, engagement ring purchasers often have higher household incomes, and spending habits can vary based on age, income, and personal preferences.

The average income (in constant 1900 USD) for individuals earning less than $50,000 annually, by continent

Here’s a timeline graph showing the average income (in constant 1900 USD) for individuals earning less than $50,000 annually, by continent from 1900 to 2025.

Notable trends:

  • Africa and South America maintain the lowest income averages, rising steadily but modestly over the century.
  • Asia displays moderate gains, especially post-1970, reflecting rapid industrial growth in emerging economies.
  • Europe and North America show higher income levels even among sub-$50K earners, with consistent growth across the timeline.

The estimated percentage of the population earning less than $50,000 annually by continent from 1980 to 2025, by continent


Here is the timeline graph showing the estimated percentage of the population earning less than $50,000 annually by continent from 1980 to 2025.

Key observations:

  • Africa: Over 90% of the population continues to earn below $50,000, though there is gradual improvement.
  • Asia: Significant decline in low-income share, especially after the year 2000 due to economic booms in countries like China and India.
  • Europe and North America: Lower percentages, but still notable segments of the population remain under the $50K threshold.
  • South America: Similar trajectory to Asia but with slower gains due to economic volatility.

Here is the timeline graph showing the estimated percentage of the population who are unmarried by continent from 1950 to 2020.

Highlights:

  • Europe and North America show the highest increases in unmarried populations, linked to delayed marriage, higher divorce rates, and more cohabitation.
  • Asia and South America show a steady rise, particularly from 1980 onward.
  • Africa has a slower but consistent increase, reflecting both urbanization and shifting cultural norms.

This visualization is based on trend-aligned estimates using UN, Pew, and Our World in Data sources. Let me know if you’d like the data segmented by gender or age group.

What This Signals for the Future

This cultural and generational shift is perhaps the single most disruptive force affecting the global diamond market today. It marks a deep, structural change in values, not just a temporary drop in spending. Here’s a breakdown of the impact:


1. Value Displacement: Diamonds No Longer Symbolize Life’s Milestones

  • Millennials (born 1981–1996) and Gen Z (1997–2012) are rethinking what symbols matter.
  • The traditional narrative—“a diamond is forever”—was built on the assumption of:
    • Early marriage,
    • Lifelong partnerships,
    • And social status through possessions.
  • Today, those assumptions are unraveling.

🔻 Impact:
Diamonds are no longer seen as essential markers of love or adulthood. Demand weakens not because buyers can’t afford diamonds—but because they don’t see the point.


2. Shifting Life Timelines = Collapsing Core Market

  • The average age of first marriage has increased globally:
    • In the U.S., it rose from 22 (women) and 24 (men) in 1980 to 29 and 31, respectively, in 2023.
    • In parts of Europe and Asia, it’s even later.
  • A growing number of people are not getting married at all.
  • Many children are now raised in households without weddings or wedding-related rituals.

🔻 Impact:
The ritual of diamond giving disappears not only from one generation but possibly from the next, creating generational demand decay.


3. Experiences Over Possessions

  • These younger generations value travel, education, career exploration, and wellness far more than owning luxury goods.
  • Even those who buy jewelry prefer:
    • Minimalist, sustainable, or locally crafted pieces.
    • Items with meaning and ethical integrity, not high-status price tags.

🔻 Impact:
Diamonds are being replaced by other forms of meaning and expression. The market loses emotional relevance, not just material appeal.


4. Cynicism Toward Marketing & Institutions

  • Millennials and Gen Z are skeptical of corporate storytelling.
  • Marketing phrases like “forever” feel inauthentic or manipulative, especially amid rising divorce rates and shifting relationship norms.
  • The rise of lab-grown diamonds is partly due to this pushback: a rejection of the industry’s inflated prices and outdated symbolism.

🔻 Impact:
The entire emotional foundation of the diamond market is eroding, especially among the very age groups that once sustained it.

Final Reflection: The Hidden Structural Driver

At the heart of this global collapse in diamond consumption lies a deeper, structural driver: the breakdown of societal systems that once reinforced marriage, family, and symbolic consumption through rituals like diamond gifting.

This transformation did not occur because the world ran out of diamonds—it occurred because the world ran out of reasons to value them. The ritual of diamond-giving was never about the stone; it was about the societal system that celebrated stability, formal relationships, and enduring economic participation.

That system is eroding. As formal employment becomes harder to access, fewer people earn the stable, high incomes needed to support both consumerism and long-term relationships. A generation that is unmarried, debt-burdened, and disillusioned with institutions is unlikely to sustain the myths or markets that supported diamond consumption.

Children growing up in households where marriage is absent or de-emphasized are less likely to view weddings or diamond exchanges as meaningful milestones. The cycle of diamond value, linked to emotional, cultural, and financial investment, is weakening across generations.

In this light, the collapse of the diamond industry is not just a market failure—it is a reflection of a broader systemic shift in how human beings organize themselves, work, and form families. Reversing this decline is not just about rebranding diamonds; it would require revitalizing the very social and economic institutions that gave diamonds meaning in the first place.

The industry must come to terms with a crucial blind spot: it is still largely run by a generation that once embraced the values underpinning diamond consumption—marriage, tradition, and symbolic milestones—but has failed to see that newer generations no longer hold these values in the same way. This disconnect between leadership and the evolving consumer mindset lies at the heart of the industry’s current crisis.


Conclusion: Demand is Structurally Shrinking, Not Temporarily Declining

This isn’t a cyclical downturn. It is a secular, values-driven shift that is unlikely to reverse. The traditional model—diamonds as status, love, marriage—has lost emotional resonance for a rising global majority.


  • Diamonds are becoming commoditized, not cherished.
  • Even lab-grown diamonds can’t stop the overall volume decline—they may have just delayed it.
  • Without a reinvention of meaning, value, and use, the entire diamond industry risks irrelevance within 30 years.

Here is the projected trend of global diamond consumption from 2005 to 2070:

  • It highlights a steep and steady decline, dropping from 177 million carats in 2005 to near zero by 2070.
  • Despite growth in lab-grown diamonds, overall consumption is shrinking, due to weakening cultural relevance, oversupply, and generational shifts.
  • A dramatic drop of over 60% in just 25 years.
  • Even with the rise of lab-grown diamonds, total consumption continues to shrink.
  • If current trends persist, the diamond industry is headed for a collapse by mid-century.

How can the world recover from this?

The collapse in global diamond consumption is not simply a market failure but a reflection of deeper structural shifts in society. As stable or formal employment, marriage, and traditional family systems decline, so too does the cultural relevance of diamond rituals that once symbolized commitment and prosperity. The value of diamonds was never inherent—it was rooted in the societal structures that upheld lifelong partnerships and economic stability. With fewer people forming such relationships or earning the incomes to sustain them, and with new generations growing up outside these traditions, the emotional and symbolic foundation of the diamond market is eroding. Reversing this trend would require not just marketing innovation, but a broader revitalization of the organizational and family institutions that once gave diamonds their meaning.

Or Else?

“We were overtaken—beginning as far back as 2005—not by a depletion of diamond reserves, which was a force within our control, but by a global shift in how diamonds are viewed and valued—a force beyond our control. The decline in demand reflects deeper changes in societal norms, income structures, and personal aspirations. As a nation, the sooner we recognise this, the sooner we will face a critical choice: either transition out of diamonds as a foundational economic sector, or commit to building as a globe the formal employment systems and social institutions—stable incomes, families, and cultural rituals—that once gave diamonds their meaning and lustre. Which path will we choose?”

Sheila Damodaran
STRLDi, Botswana
June 2025


📚 Data Sources Referenced for Estimation

The chart I provided is based on estimates but historically guided data, not directly from a single dataset. Here’s how the estimates were constructed and the sources they’re informed by:

World Bank – PovcalNet
Provides regional and global income and poverty distributions.
https://povertydata.worldbank.org/poverty/home/

Maddison Project Database (MPD 2020)
Historical per capita income (GDP) estimates from 1 AD to present by country and region.
https://www.rug.nl/ggdc/historicaldevelopment/maddison/

Pew Research Center (2015) – Global middle class and income distributions
Example: In 2011, only about 16% of the world was considered high income (>$20/day).
https://www.pewresearch.org/global/2015/07/08/a-global-middle-class-is-more-promise-than-reality/

International Labour Organization (ILO) – Global Wage Reports
Offers wage and employment data across time and regions.
https://ilostat.ilo.org

Our World in Data – Income, poverty, and inequality visualization tools
https://ourworldindata.org/income-inequality


When The Economy Speaks … Reversing National Unemployment Statistics


6 Things A National Leader Does.

https://medium.com/series/when-the-economy-speaks-cdb62e49ad36

Peter looks down at his high school examination results transcript for the first time. It is not a pretty picture. He had been praying hard the results that would peer back at him would be different but he also knew deep down that it may not. He had been dreading this moment. It has arrived.

Still, he had wished for otherwise. He is a bright student. But it had not been an easy past few years. He had just lost his older sibling to a debilitating illness. They had been very close to each other. He is also dauntingly aware his parents are not close to each other and fears they may find other partners and break up the family and sanctity that he seeks. What would that mean as a family? Where can he seek counsel? Will he be intruding? It bothers him.

Turning his eyes back at the results, he knows he can do much better than what he sees. The reality is dawning at him. He is facing it squarely. These results will not help him get into his dream course at the university of his choice. It hurts him. What should he do now?

Suddenly he remembers that he has to announce these results to his family. He has been known to be the one with a sound head on his shoulders. But now. With this. What would they think of him? Maybe they would not ask. He consoles himself.

But they did. He chose to keep quiet. Perhaps they will understand. He hopes. But meanwhile, he needs to come up with a strategy. Fast. So that his peers do not leave him behind.

He thinks.

He needs to get grades. Good grades. Fast. What subjects will help him do so? French. Perhaps. Grades that would allow him to put his foot through the door of a tertiary institution. What can he do so that he can catch up with his peers in the shortest possible time? He has the coming summer months to do so.

What jobs are out there that he should prepare for? He really did like the sounds of the field of nautical engineering. He had really enjoyed seeing and fiddling in the cockpit of a cruise ship during one of his summer vacations. It had made him feel happy and come alive. And he loves his Maths and Physics. But he has been told that manufacturing here is not a big deal in terms of jobs. What should he do? How should he decide?

Are his days of plain sailing through life over? Will he face the same dilemmas when he is out there in the big wide world looking for a job? With only four jobs available for every ten working-age population, what will become of his chances with not-so-great grades? The supply of labor is now outstripping the demand for labor. Will jobs become too slim for his picking?

He will need to figure this out. He needs time. But does he have the time?

We all know a story like this.

One way or another.

And so. Here is the situation (Click on the link to the case study). You are now charged as the Head of this State. What would you do to turn around the situation?

Run, you say? Oh, you did not say that. Good! Invite more investors, locals as well as foreigners, to invest in the country?

Your predecessors have done that. Poured trillions for decades with the help of past heads of states and a cabinet of citizen representatives. Yet, widespread unemployment today, has grown to prevail at 60%! How did that happen?

You say perhaps “they” have not done enough. That you will do more than them. That is possible. For how long would you do more of the same? What went wrong? What else could we do?

Some measures are drastic and feel more like a bitter pill to swallow. But I hope it will make the tough actions we would take at a later stage become easier to bear with. So here goes.

1. “EXPORT” UNEMPLOYMENT

Don’t have solid agricultural and manufacturing bases? Finding it too difficult to build them? Well, here’s a strategy—though said tongue-in-cheek—to ease the short-term pain of unemployment: continue exporting unemployment at the same rate you’ve been importing manufactured goods and raw materials. That way, the unemployed will follow the money being spent on goods produced outside the country (or region) but consumed within. While this may momentarily relieve some pressure, it’s a reflection of the deeper economic challenge that needs addressing.

2 “MATCH” BIRTHS TODAY TO JOB CREATION TOMORROW

If we’re confident we’ll be able to create more jobs tomorrow, then by all means, go ahead and multiply. But if we’re not sure… well, you get the idea.

An unchecked population growth leads to rising unemployment, which eventually becomes difficult to manage.

The supply of labor isn’t driven by our education system alone—it’s determined by birth rates, from twenty years ago. That’s the time for a young person to mature and be ready for the job market.

Matching the decisions made by families today with boardroom decisions twenty years from now isn’t easy. But here’s the key: the same people who bring children into this world are the ones responsible for creating the jobs those kids will need in the future. And no, I’m not talking about divine intervention—it’s you and me.

We need to believe we can build businesses that will generate jobs for the next generation. Companies shouldn’t just be a means to hustle for profit today or a temporary shell to discard once we’ve met our immediate needs. They should be about creating a legacy and shaping the future for our children.

So, the question is, do you believe you can do that?

3 NATIONAL & COMMUNITY DIALOGUES AS FAMILIES Q: What allows industries to grow?

The choices we make as families and as a nation are deeply interconnected.

Decisions about acquiring skills for agriculture and manufacturing begin within families and households. However, these decisions are often shaped by perceptions of what is happening “out there,” rather than personal experience. It feels distant and unrelated to our immediate lives.

If we believe that our population lacks the skills needed for manufacturing, and as families, we feel the country isn’t doing enough to create jobs in that sector, we find ourselves in a lose-lose situation.

To move forward, we need to clarify our intentions, address the concerns, and develop a strategy to share accurate information as a nation. In today’s world, where countries can do grocery shopping online, solving this issue may not be as challenging as we believe.

4 CONSTRUCT REGIONAL MATRIX-ED GOODS VALUE CHAINS MAP

Get your foundation in order. Know your goals and pursue them with clarity.

Understand the interconnected structure of raw material supply chains driven by regional customer needs and develop strong agricultural and manufacturing sectors by following these steps:

  • Focus on what customers demand, not just the products you currently have. Build a comprehensive value chain map.
  • Identify how goods complement each other to efficiently meet end-customer needs in local, regional, and global markets.
  • Assess what resources are available and what is lacking.
  • Leave aside the question of who holds specific resources for now; this becomes relevant once the map is fully formed.
  • Pinpoint critical processes within the chains that, if absent, could halt production and disrupt the supply chains.
  • Don’t wait for other regions to develop their maps and then approach you for manufacturing. By doing so, you risk losing the influence and value needed to manage the process.
  • Co-develop this map on an ongoing basis with private sector organizations. Bring them on board. Present the reality. Ask what they want to do. Do not push their responses to another organization. Keep the conversations going. Do not let anyone think that the government will fund them. Ask what can all do to grow the nation together. How can they collaborate with each other and respond to the market demand and forces while creating employment for more?

Once the mapping is complete, you’ll have a roadmap to align your efforts and drive progress, both as a nation and as a region.

5 ALIGN AND BUILD HUMAN RESOURCES

Align and, where necessary, develop human resource skills for the agriculture and manufacturing sectors, with a focus on building both foundational and advanced competencies in English, Mathematics, and Science—particularly in Physics and Chemistry—across the nation. This will enhance resilience and inclusivity within these two critical sectors.

6 BUILD UP THE PYRAMID OF THE ECONOMY

Establish coordinated corporations within the agricultural (crop, plant, and raw material production) and manufacturing sub-sectors, ensuring alignment with the regional industry value chain matrix and scheduling.

Economies that rely heavily on extraction industries will have large pockets of unemployment that continue to persist in the nation. These industries gross high returns but they do so by employing fewer people and more machines to keep the costs of operations under control and therefore ensure the growth of the industry. This way the GDP would certainly look good (but not the food on our tables, which is the real GDP).

Machines do not create jobs for the unemployment rates.

Plant and animal-based primary production and manufacturing economic sectors when well-developed have greater potential for creating and absorbing significant employment. Extraction-based industries are typically technology-driven and have a lower capacity for the employment of human resources.

The nation is shifting its focus to production, particularly in plants. It will learn to mitigate climate effects one country at a time. This approach would allow the region to produce consistently throughout the year. It will keep the manufacturing sector humming.

Invite regional and global industry leaders. Alternatively, incentivize and groom local captains of industry with long-term overseas stints. These leaders can lead, chart, and build the sub-sectors from the ground up. This includes efforts within households and education sectors.

When The Economy Speaks … ICT Graduate Unemployment Is Just the Tip of National Unemployment Iceberg


DEFINING THE RESEARCH SPACE

It is not difficult to create employment.

It is harder to keep unemployment off!

Do you wonder what came of the billions (possibly trillions) spent by countries both as governments as well as private sector (including foreign direct) investors, across the world, decade after decade (let’s say, now going five decades) with the purpose of creating employment, and then learn to find that unemployment persists relentlessly , companies shut down at the snap of a global economic meltdown and national economic growths continue to take hits, year after year?

Is this story familiar?

Why does this happen?

I am not alluding that the money is siphoned off. That is not where I am going. But, yes, there is another kind of ‘siphoning’ happening.

In the meantime, of course, governments face angry faces of unemployed constituents and so nations react by wanting to see both governments and foreigners ‘continue to invest’ in it.  Why does the issue persist?

Often, when an issue persists, it is a sign we have made the choice to avoid some difficult and hard decisions.  These hard choices  include questions such as what is causing our innate ability to be honest with ourselves, and that includes bearing criticisms, taking a hard look at ourselves (instead of cowing others into submission or hustling as needed), being patient, persistent and being sufficiently resilient to spring back from setbacks, diminish over time.  All of which are factors that are critical to the ability of a country to succeed as a nation in growing its economy.

So, which one do you think comes first?

Nurturing our capacity to be patient, to persist and be resilient and being frugal (doing more with less (not spending no more than 10% of the margins for personal spending while the business is still trying to stand up on its feet (and generate its own income) is the first rule of business)) despite the odds stacked up against us?

OR

Needing to seek investments?

What is destroying our ability to grow these innate capacities for us?  These and more questions are explored in this article.

Botswana’s new leader wants to shrink the civil service, sell state companies and cut red tape as he targets increased foreign investment.

President Mokgweetsi Masisi has identified reducing the country’s reliance on diamonds and creating jobs for the almost one in five workers who are unemployed as his top priorities since taking office six weeks ago.  Private companies will have to take the lead, he said in a May 14 interview in his office in the capital, Gaborone.

“The government in and of itself does not really create jobs,” Masisi said. “It is not my desire to grow the public service any bigger; if anything, it is my desire to trim the civil service so we are more efficient, we are leaner, meaner, and we can do business and we are more attractive to the private sector for them to invest.”

Source: Agency Staff. (2018). Botswana wants to shrink civil service so privatisation can grow the economy. Bloomberg. Available at: https://www.businesslive.co.za/bd/world/africa/2018-05-16-botswana-wants-to-shrink-civil-service-so-privatisation-can-grow-the-economy/ [Retrieved on 17 May 2018].

OUTLINE:

  1. THE OVERARCHING SYSTEMIC STRUCTURE OF UNEMPLOYMENT
  2. THE STORY OF SUPPLY OF LABOUR
  3. THE DIGITAL USE DIVIDE:  A SPECIAL MENTION
  4. THE STORY OF DEMAND FOR LABOUR
    1. WHEN GOVERNMENTS INTERVENE
    2. WHEN PRIVATE SECTOR INTERVENES
    3. THE UNEMPLOYED DIGITAL USE (ICT GRADUATES) EXPERTS – WHEN THAT HAPPENS – A SPECIAL MENTION
    4. BUILDING INDUSTRY SYNERGY: VALUE CHAIN MATRICES
  5. THE UNEMPLOYED DIGITAL EXPERT (OR ICT GRADUATES) – A SPECIAL MENTION: WHY IT HAPPENS?
  6. WHEN DEFINING THE TRUE NATIONAL UNEMPLOYMENT NUMBERS
  7. REQUIRED RESEARCH ANALYSIS

GENERAL TALKING POINTS OF INTEREST:

THE OVERARCHING STRUCTURE:

Systemically, the growing pool of unemployment today is as the result of the different rates of change that exists between the levels of annual births from as far back as twenty years ago and the capacity of annual jobs created today.  Why twenty years?  That is the average age before someone becomes ready to join the labour market.  The changing rates of unemployment is determined by rate at which these two factors change over time relative to each other.

When the numbers of Jobs Created Today < Children ‘created’ from twenty years ago cause the number of persons that are unemployed adds on to an existing pool.

WHEN
Growth Rate of Births From Twenty Years Ago (A)
IS GREATER THAN (>)
Growth Rate of Job Creation Today (B)

= GROWING RATES OF UNEMPLOYMENT Today (C)

A = SUPPLY OF LABOUR
B = DEMAND FOR LABOUR

And so,
Growing Unemployment = When Growth of A > Growth of B

Meanwhile
Growing Employment = When Growth of A < Growth of B (it would now have the capacity to absorb increasing immigrant employment).

And of course,
Full Annual employment = When Growth of A matches the Growth of B

SUPPLY OF LABOUR

The factor that contributes to the supply of labour in any nation is the rate of births.  Yes, it is dependent directly, on the number of students who graduate from the education system but how wide that pipe is, would depend on the rate at which the nation populates or replaces itself.

It would, however, not be completely accurate to say that had the overall population numbers not increased substantially over the years, that it must mean that the rate of births has not increased.  It could mean instead that the rates of attrition (deaths or migration) or somewhat higher than the rates of births.  Hence, the theory would have to be tested before being confirmed that it is so.

Couples within an intact marriage often would have a better chance at influencing the rates of births within their combined capacity to provide for the children.  However, in an impaired marriage (and I am not referring to visual or hearing impairment) or a marriage where the couple has lost or is losing their ability to be committed to each other, as a couple they begin to produce children outside of the marriage.

As males become increasingly sexually active with several partners (or with the same partner), he then tends to produce more female progeny.  A higher proportion of females within the system would mean a higher propensity of the population to increase its birth rates and therefore even further female offsprings (testament to polygamous communities typically living off on arid lands).  It does so, at times, at runaway rates i.e. populate at rates faster than their capacity to provide for it.

Of course, when the males present their progeny within an open system (marriage or a polygamous community), where everyone sees the number and the gender of children he has produced, it is much more evident as a community and as a nation the impact such behaviours will have on unemployment and job creation in the future.  When he is, however, unable to do so or such information is limited to immediate family members or the village, impacts of such acts become less discernible to the nation as a whole.  Governments seem to be caught unawares of the extent of the issue till the election times are upon them.

THE DIGITAL USE DIVIDE:  A SPECIAL MENTION

The Digital divide is a term that typically refers to the gap between demographics and regions that have physical access to modern information and communications technology, and those that don’t or have restricted access.  This technology can include the telephone, television, personal computers and the Internet.

But I would like to make a special case for this divide here.  The Digital Use Divide. One perhaps that was brought on by man’s own decision to avoid the hard choices when he had to make them.

Think back to the time when we were choosing to decide to whom should a topic such ICT to the population?  The old ones?  The young ones?  Which one did we choose?  We thought, it was easier to teach ICT to young minds.  Teaching the old ones would be like trying to teach old dog new tricks.  It will be painful and take a long time.  That is harder.  It takes time and resources’.  Well, moulded, we sure did.

Except, what becomes the consequence of this choice?  It meant that the old ones except in the case of passive use of the ICT are fearful of engaging ICT actively for purposeful and creative uses.  They did not want to come across as incompetent or worse, stupid.  So what will be the result of older generation trying to work with the younger ICT graduate?  What would we do?  Did you say, we could ‘push them away’.  This way the older ones can avoid dealing with the pain of that fear of using ICT.

DigitalDivide_Infographic
Figure 3:  Digital Use Divide

Adding, to this, persons who would typically venture into small businesses in the private sector or set up their own businesses would be persons (typically the parents of the millennials) who did not do as well in school particularly in the  areas of mathematics and science.  They have found it difficult to keep a job since they are not able to do most jobs that are common in the new knowledge economy.

On the other hand, an ICT graduate would have had a much easier time with these subjects, and appear to come across as the ‘know-all millennials who do not care for the ones who do not understand maths and science subjects’.  They would then be perceived as a threat to the older ones.  These experiences, can often push the  wedge in the divide between the two, even further, and often generations apart, from each other.

The trick for now may lie in the young ones learning to make a very conscious, but not obvious, choice to ‘hand-hold’ the older generation along in crossing this bridge of divide that exists now between them.  Very patiently and learning not to tread on tender emotions, when doing so.  Should the two generations figure ways to build that trust between them, we could possibly enter a new era of interacting between the owners and enablers of the economy that would enable them to expand their market, manufacture bases and export capacity to the region, all of which requires the ICT environment to flourish.

It would also mean opening opportunities up for several other careers such as sales, accounts, finance and marketing to take off in the industry.  Should we, however, not be successful in doing so, we face the risk of riding off into a bleak future of seeing the pool of ICT unemployed graduates grow or eventual dwindling of numbers willing to enter the study of the profession or a draining of their talents out of the industry or worse off, the country.    That would present a loss of investments by the country in their learning and therefore a possible alternative future for the country.

What is your view?

Now, going back to the point on the supply of and demand for labour, just a bit.  The trick is both, the supply of labour (bearing of children) and the demand for labour (creation of jobs), is essentially ‘managed’ by the same person, the man in his 30s to the 50s.  When he figures how he would create more jobs than children, he, more than anyone else effectively wipes out unemployment for his country.  Not the government.

DEMAND FOR LABOUR:

– WHEN GOVERNMENTS INTERVENE

When governments create jobs (in government) to absorb the unemployed, they do so at the expense citizens pay to the state coffers or from revenue of sales of raw materials extracted from the ground.  It typically behaves as a cost to the overall system with low returns.

Additionally, these jobs do not fundamentally change the structure of the economy, in particular develop the primary sector of the economy i.e. the production of natural raw materials by its citizens.  This sector not only has the greatest capacity to absorb employment that will be needed for sustained growth of the economy over time compared to manufacturing or industry and service sectors, but it serves as the fuel that will keep the economy burning to some extent, literally, and therefore growing its GDP (the ROI on government and private sector spending).

Investing without the  need to sustain the investment is a sign that the country is primed for investments in the sector as a result of solid growth of the supporting industries.  However, should a country after, tens of years (decades) of investment injections by corporations and nationals from both within and outside the country and in-spite so, continues to rely on such injections to sustain its growth, it then speaks to a fundamental breakdown of the supporting set  of industries (primary for industries and, manufacturing for retail) needed to support sustained growth of the ones above it.

– WHEN PRIVATE SECTOR INTERVENES

Notice as in a pyramid (see figure below) the layers at the bottom of the pyramid of economic structures provide much greater capacities to absorb employment than the ones above it.  The math is easy.  If there are 30,000 personnel in the services sector, then we are looking at say, 100,000 persons that would be needed within the agriculture raw material production strata to grow and support the layers above it.  The services and the government sectors will not be able to absorb 130,000 persons when there is little persons and materials to sustain the growth profitably from within the primary industries.  Also refer to Figure 1 below for reference of a country till in recent times that has absorbed large numbers of the population within the primary economic agriculture sector.

pyramid-of-classes-in-egypt.jpg

The private sector creates new jobs when it has the capacity to generate revenue (notice I did not say funding) in a sustained manner at rates faster than the costs of production of the organization.  When the change between the two grows a margin such that the growth in the margins itself is sustained, then the organization is able to create new jobs in a sustained manner for the economy.  This does not, however, happen when its development is based on the principles of socialist economic systems where we strive for equality in the distribution of wealth (that poses risks of rising costs).  It only happens when the rates of growth of revenues inclines and rates of growths of costs decline.

What would influence that?  The current set of employees do.  From management and that includes the boss to the cleaner.  Companies do not create employment. Employees do.  When everyone in the company helps to grow (rather than consume) the margins, they, in turn help the company create margins that help it to expand and therefore recruit more employees in the future.

 When we understand that, in principle, anyone could start anything from anywhere.  There right there is how new jobs become available to us today from the past.  However, when a new employee joins asking what is it in there for them, or carving out their own niche, that’s a warning bell.  It is the start of that company not only losing potential new employees but stand to lose their current jobs.  When there is unemployment today, this suggests that this has been happening from the past.

THE UNEMPLOYED DIGITAL EXPERT – A SPECIAL MENTION – WHY IT HAPPENS?

When graduates or trained ICT personnel continue to stay unemployed within the nation, it is a sign the following are happening:

  • A numbers mismatch.  This is a case of where there are more graduates created (SS) than there are jobs inherently (naturally as in a free market system, as opposed to forced employment creation (those created by government in response to appease an unhappy voting public)) available for the sector.
  • Skills mismatch.  Where the employers are unsure or even feel threatened to hire ICT graduates.  This is a case where employers do not understand what ICT graduates can do (refer to the digital divide segment above, where this elaborated further) for them or what that job would do to affect the bottom-line of the organization.  This gap is particularly noted in the small, medium and micro-businesses.  If these businesses make up the majority of the populace, then ICT graduates who come from that same populace (who are children of that population), will inevitably find themselves at the short-end of the stick.  Their parents are unlikely to open jobs to them, except on compassionate (for socialist reasons) grounds, unless the parent sees a very experienced ICT personnel (who is at this juncture is not a graduate) who can convince they can and will change the bottom-line for the organization.  The small businesses make up the major employers of any country.  Each one of them may not be anywhere close to the size of your national network chain employers, but they are more important as a combined system in terms of numbers and impact.  If this sector does not change its mind towards ICT employment, doing anything else to change it will not make any significant difference to the country.
  • When other graduates are employed gainfully, ICT graduates are better placed to be employed as well.  They usually do not make a substitute for a missing production base, unless the ICT graduate is just as skilled in non-ICT-based jobs, such as cooking food products, as an example, in which case, they would then know how to mechanize the process.  When they don’t. the job for which they are trained for, ceases to stay relevant.There is a systemic breakdown of the economic sectors within the country.  ICT sector employment does not create or conduct the actual jobs needed to generate revenue within the economy.  They facilitate an existing process to become more efficient particularly when the volumes of trade are significant.  The presumption is a process or a window exists that needs to be made more efficient between factors of production and management of production.  This is caused by two interrelated factors:
  • This means sales and revenues are generated particularly in a vibrant manufacturing and agriculture sectors.  However, when markets are dull (as in what happens when there does not exist a strong set of primary and secondary economic sectors) and the economy is not hiring factors of production (jobs in other sub-sector, e.g. milling, cooking, producing furniture, clothes, and so on) in the first instance, and in which case, this window for the ICT sector becomes narrowed significantly.

So which one is your reason?

BUILDING SYNERGY OF INDUSTRIES: VALUE CHAINS

The easiest way for an opposing political party to bring a ruling government down  is, noteworthy enough, not at the elections.  It is slowdown, low productivity and tool down at the workplace, often by employees that are party to the opposition.  This fundamentally does one thing.  It works at gradually eroding the synergies needed in an economy to keep the economy well-oiled and running effectively.  These are its  value chains.

This does not change because the ruler is no longer at the helm and had to leave office to his opponent.  All it does do is the see the camps trade places.  But nothing changes fundamentally until, the lines between the ruling and the opposition fade away and the people of all creeds and parties decide to join their hands, hearts and minds as one.  A broken industry value chain is a sign of the breaking down of its people of the nation.

WHEN DEFINING THE TRUE NATIONAL UNEMPLOYMENT NUMBERS

Governments and nations can only consider patch works of correcting unemployment as a nation when it looks at the narrowest definition of unemployment.  To consider working with the real rate of unemployment, it would require understanding the state of unemployment that exists at its fullest extent within the nation.  Refer to Figure 3 to determine such a figure.  Remember as always, it is not the primary responsibility of governments to absorb these numbers, if they are high.

These numbers need to be understood as a nation and dealt with as a nation to turn the issue around.  The ruling party or the government can bring it to the awareness of the nation but it is still the responsibility of the nation in deciding together what it will do next as a nation.

To note, unemployment in the region cannot be ruled out as part of the unemployment structure within the country.  We cannot run away from this reality.  A true picture of the country needs to include the true picture of unemployment in the region that needs attention.

Homelessness, crime, substance abuses, domestic violence, divorce rates, growing single-parent households and reliance on government programmes are just making up the tip of this ice-berg.

Vietnam's Employment Figures 1990-2009
Figure 5: Share of employment by sector

Source: Tuyen Tranh and Tinh Doan. (2010). Industralization, economic and employment structure cbanges in Vietnam during economic transition BCollege of Economics Vietnam National University, Hanoi. Available at: https://mpra.ub.uni-muenchen.de/26996/1/Vietnam_industrialization_and_employment_structure_changes.pdf [Retrieved on 17 May 2018].

Unemployment Rate.png
Figure 6:  Defining Real Unemployment Figures within the country / region

REQUIRED RESEARCH ANALYSIS

FOR DETAILS OF DATA REQUIRED FOR RESEARCH ANALYSIS FOR THIS SUBJECT, CLICK HERE.

FOR STORIES RELATED TO PRODUCTIVITY, CLICK HERE.

Regional Article 9: Systemic Development of Industries in a Nation. What would that look like?


Is there such a thing as systemic development of industries?  We can tell what systematic is.  Yes?

But what about systemic development of industries?

Let us take a context.

Let us say we wish to see the industry of dairy production grow within the country.

What needs to happen that would enable the sustained development of this industry.  Now

Milk and cooky
Milk and cooky (Photo credit: Salim Virji)

notice two things:

The first, notice I did not say a dairy company but rather I referred to the industry.  This means it has effects on the nation .  That means more dairy companies are  likely to succeed better as a result the industry is growing.  When we take care of ‘the whole’, ‘the whole’ takes care of the parts.

The second, when we say it is successful, in this work, we would need to define it.  We would expect to see the following happen:

  1. Levels of production rises consistently over time (it rises persistently and resists or buffers itself against significant downfalls) given populations are rising
  2. As such levels of revenue rises  consistently over time
  3. Levels of costs per unit production declines  consistently over time

Yes?  Is that how you see it too?  These are what I meant by the systemic development of dairy production in the county.

Growth of the Dairy Industry (for the Country)

Therefore, what needs to happen for all the above to happen for dairy production?

Well …..

Holstein dairy cows from http://www.ars.usda.g...
Image via Wikipedia

Dairy or milk comes from cow.  So, to see dairy production grow in the country, while anything else may or may not happen, we cannot expect it to grow without first also seeing the growth of the number of dairy cows produced within the country.

On the other hand, should we see a decline of the number of these cows (because we sell the cows so that we may pay school fees), then we can also expect to see a decline in the level of dairy milk produced in the country.

What do you notice by these discussions?  Is this line of thinking the same as systematic thinking?

Did you say, no?  Well, you are right!

So here’s the next question, what would make sure the systemic development of the dairy cow industry grows within the county?

Growth of the Dairy Cow Industry

You know the drill now!

What do cows (anywhere) need?

Fodder?  Meaning, that the level of fodder produced needs to grow so that we are able to produce more dairy cows.  Usually we do it the other way around!  We say well, there is not enough (supply, given demand for) fodder.  The market says that the demand is growing and then, it (the market) tries to scramble to ‘close the gap’.

When demand drives supply, that’s a sign of non-systemic development of the nation.   But in a systemic relationship it is the supply that leads demand.  Notice it does not drive it.  It facilitates.  It just makes it easier.  It respects the order in which causality happen.

English: Distributing TMR (Total Mixed Ration)...
Image via Wikipedia

So, therefore before we expect to see the number of dairy cows grow in the country, we should first expect  to see the number of companies that produce fodder grow within the country.  This needs to happen before anything else does, almost to a fault.

When that industry grows (production levels rise at lower units costs), the amount of fodder available in the country also grows.  Therefore, as a result, it will not become difficult for the cows to “eat and go forth and multiply“.  And when it does, the dairy production levels in the country would naturally increase. This happens even without needing the government to take actions to intervene.  This will also add up to lower costs in running the government.

What’s the next question?

Did you say, what would it take for the fodder industry to grow over time?  You are right!  Now we can see, you’ve got the drill.

Growth of the Fodder Industry

Where does fodder come from?

You are right.  Crops!  Fodder is often the by-product or the remnants of crops once humans have used it for their consumption.

English: Fodder crop
Image via Wikipedia

So what are we saying here?  For dairy production to grow within the county, we need to first see the growth of crops produced in the country, grow as an industry.  When that does not happen, and should it instead decline, then the fodder industry declines, which in turn leads to dairy cow production declining which in turn reduces dairy production or makes it difficult to take off for the country.

So what causes crop production to grow in the country?

Which one of the following, in your view, when it is available makes it easier for crop production to grow?  Which of the following would we need to see available?:

  • Land
  • Water
  • Seeds
  • Fertilizer or
  • Is would it be the willingness of people to grow crops for cattle?

Growth of the Crop Industry

However should crop production be the primary domain of the female gender in the country, that is, she decides when, how much and what crops to grow, it is possible she may not be willing to grow crops for cattle.  This is because her primary focus and need is to grow crops to put food on her table, for her children!  Not for the world!  And certainly not for the cattle.

So, therefore which gender do you think should become involved in crop production, so that dairy production would grow in the country?

Should it be led by the mind of man or the mind of a woman who should lead this effort?   Does it differ or not at all?

The mind of the man is typically designed to ‘feed the world’.  There are exceptions, but always look at the rule.  The mind of the woman is there to help nurture (of feed) her child (not the child of another woman!)  Do not fight that or we risk not having mothers for our children.

Who therefore do you think cannot absolve himself from crop production for the county?

Rice production in China
Image via Wikipedia

When the man becomes involved in crop production, we would now be able to feed milk to our children (including the children of the women who did not wish to grow crops for the cattle).  Also, men, unlike women, will inherently (even if it is just sheer strength in their muscles) to till, sow for multiple seasons and harvest larger expanses of land.  This situation is there in the likes of China, Vietnam, India, Indonesia, South America for generations, where production of crops is the domain of the male gender.  This has also has a positive impact on the water cycle .   This means that as more amounts of the land is fertile for crops, such lands in turn encourages more frequent levels of rainfall for the country.

Is the amount of land, water, seeds, fertilizer available therefore consequential in the story.  It really is not.   It becomes consequential when I focus on  my company.  But not from a systemic development of industries and the nation.

So if I focused on changing things that are happening in my company, would that be enough to turn things around for the nation?  The parts separately cannot take care of “the whole”.

Hmm …. what would we have to do differently today so that we as men, women and children can see these together as a nation?

Regional Article 2: What really caused the eurozone crisis? BBC News Dec 22, 2011


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As you read the article. notice how many times we broke the laws of dynamic complexity.  These laws govern the nature of dynamic (recurrent problems) complexity.

I see three laws here.  They are laws 8, 6 and 4.   I have listed the laws against the text of the article below and the explanations at the end of the texts.

There are more.

Show us what you see.

“What really caused the euro zone crisis? Dec 22. 2011 BBC News”

World leaders probably spent more time worrying about the euro zone crisis than anything else in 2011.

And that was in the year that featured the Arab Spring, the Japanese tsunami and the death of Osama Bin Laden. What’s more, 2012 looks set to be not much different. But as euro zone governments hammer out new rules to limit their borrowing, are they missing the point of the crisis?

Follow the path to find out.

Continue reading the main story

The euro zone has agreed a new “fiscal compact”

  • Euro zone leaders have agreed to a tough set of rules – insisted on by Germany – that will limit their governments’ borrowing each year to just 3% of their economies’ output. This is to stop them accumulating too much debt, and make sure we avoid we another financial crisis.

But didn’t they already agree to this back in the ’90s?

  • Hang on a minute. They agreed to exactly the same 3% borrowing limit back in 1997, when the euro was being set up.  It was the  German finance minister Theo Waigel who insisted on the “stability and growth pact”. What happened?

So who kept to the rules?

  • Italy was the worst offender. It regularly broke the 3% annual borrowing limit.  But actually Germany – along with Italy – was the first big country to break the 3% rule. After that, France followed. Of the big economies, only Spain kept its nose clear until the 2008 financial crisis; the Madrid government stayed within the 3% limit every year from the euro’s creation in 1999 until 2007. Not only that – of the four, Spain’s government also has the smallest debts to the size of its economy. Greece, by the way, is in a class of its own. It never stuck to the 3% target, but manipulated its borrowing statistics to look good, which allowed it to get into the euro in the first place.  Its waywardness was uncovered two years ago.
  • 3/9 Italy
    Worst offender
  • 5/9 Germany
    First to break rules
  • 6/9 France
    Offender
  • 9/9 Spain
    Top of the Class

But the markets have other ideas

  • So surely Germany, France and Italy should be in trouble with all that reckless borrowing, while Spain should be reaping the rewards of its virtue? Well, no.  Actually Germany is the “safe haven” – markets have been willing to lend to it at historically low interest rates since the crisis began.  Spain on the other hand is seen by markets as almost as risky as Italy.
  • So what gives?

So what really caused the crisis?

  • There was a big build-up of debts in Spain and Italy before 2008, but it had nothing to do with governments. Instead it was the private sector – companies and mortgage borrowers [@1  LAW #8] – who were taking out loans [@2 LAW #4. Interest rates had fallen to unprecedented lows in southern European countries when they joined the euro. And that encouraged a debt-fuelled boom.
  • Good news for Germany…
  • All that debt helped finance more and more imports by Spain, Italy and even France. Meanwhile, Germany became an export power-house after the euro zone was set up in 1999, selling far more to the rest of the world (including southern Europeans) than it was buying as imports. That meant Germany was earning a lot of surplus cash on its exports. And guess what – most of that cash ended up being lent to southern Europe.
  • …bad news for southern Europe
  • But debts are only part of the problem in Italy and Spain. During the boom years, wages rose and rose in the south (and in France). But German unions agreed to hold their wages (and their personal spending) steady. So Italian and Spanish workers now face a huge competitive price disadvantage. Indeed, this loss of competitiveness  [@3 LAW #3 is the main reason southern Europeans have found it so much harder to export than Germany.
  • …and a nasty dilemma
  • So to recap, government borrowing – which has ballooned since the 2008 global financial crisis – had very little to do with creating the current euro zone crisis in the first place, especially in Spain (Greece’s government is the big exception here). So even if governments don’t break the borrowing rules this time, that won’t necessarily stop a similar crisis from happening all over again.
  • Spain and Italy are now facing nasty recessions, because no-one wants to spend. Companies and mortgage borrowers are too busy repaying their debts to spend more.  Exports are uncompetitive.  And now governments – whose borrowing has exploded since the 2008 financial crisis savaged their economies – have agreed to drastically cut their spending back as well [@4 What Law is that?].  But…

Cut spending…

  • …and you are pretty sure to deepen the recession. That probably means even more unemployment (already over 20% in Spain), which may push wages down to more competitive levels – though history suggests this is very hard to do. Even so, lower wages will just make people’s debts even harder to repay, meaning they are likely to cut their own spending even more, or stop repaying their debts. And lower wages may not even lead to a quick rise in exports, if all of your European export markets are in recession too. In any case, you can probably expect more strikes and protests, and more nervousness in financial markets about whether you really will stay in the euro.

Don’t cut spending…

  • …and you risk a financial collapse. The amount you borrow each year has exploded since 2008 due to economic stagnation and high unemployment. But your economy looks to be chronically uncompetitive within the euro. So markets are liable to lose confidence in you – they may fear your economy is simply too weak to support your ballooning debt load. Meanwhile, other European governments may not have enough money to bail you out, and the European Central Bank says its mandate doesn’t allow it to. And if they won’t lend to you, why would anyone else?

http://www.bbc.co.uk/news/business-16301630

@1    When we state country, the one that comes to mind (obviously), it is the government (and therefore) the public servants are spending (the Ministers must be corrupt , etc.).  But the areas of the highest leverage, the citizen, the family, the industries stayed hidden behind the ‘name of the country’.  Law #8 says, the areas of the highest leverage are often the least obvious.  We need to be understanding this about ourselves and use it to turn the situation around.

@2   Taking loans out, which is borrowing money and spending money we do not have, is easier than freezing wages (and choosing not to spend the money).  Notice what we are avoiding.  We usually do not watch what we are avoiding.  We need to be watching both should we expect to turn a situation around.

@3  Loss of competitiveness shows how things have got worse after some time of seeing things become easier or better.  This indicates that the two (when things got worse and the things that got better) are interconnected.  As we appreciate the interrelatedness of these issues, we now begin to have a handle on the situation.

@4  What law is broken here?  Why do you say that?  Do explore the reasonings with each other.