Zamai Solutions Weak linksThe Zambian economy, step by step

The Zambian economy, step by step · working draft v6.1

Every step is a promise. The broken ones are worth most.

Zambia’s economy is a set of chains, and every step in a chain is a promise. The losses from broken promises compound down the chain. A promise binds in proportion to what it costs the promiser to break it, and this page is the record of which promises bind here, which do not, and who pays. The same arithmetic is the opportunity: fix the weakest step and the chain nearly doubles, and some of what makes a promise bind, a record, a clock, a receipt, has just become cheap.

43%

is what eight steps at 90 percent deliver. One step at 50 takes it to 24. Fix that one step and it nearly doubles.

Chris Lindinger runs Yumi Milling Ltd, a small maize and soya mill in Batoka, about forty people. He built its systems himself. Where the mill’s own experience is the evidence, it says so in the margin.

Three questions, asked of any chain. Which one step holds it back? This page’s conjecture: a promise owed by someone who pays nothing when it breaks. Who owns it? Often a public body, and when cash is short the state pays in the order of what breaking each promise costs it. On the Treasury’s own table, farmers and the state’s own utilities were paid in full, ordinary suppliers a third, road contractors one percent. Who pays when it fails? The creditor. Verified domestic arrears reached K84 billion in 2025, and carrying them saves the Treasury more in interest than it budgets to clear them. The rule is tested against cash alone and first come, first served, and the cases that do not fit are reported. The same arithmetic says where a fix would pay most; section 08 says what has become cheap and whose hands each fix needs.

Cite as: Lindinger, C. (2026). Weak links: the Zambian economy, step by step. Working draft v6.1, 4 October 2026. zamai.pro/weak-links · PDF

What to do with it, and how sure it is
If you work in governmentOne number would show more than this whole page: the days one public payer takes from approved invoice to money. Nobody publishes it yet, and the record now costs little to keep. What it would move
If you run a businessFind the step in your own chain where a fix would pay most. Ten minutes, your own words. The tool
If you researchFive tests that could settle the claim within a year, starting with a cross-check inside the survey and a blind recoding of section 03. The tests
If you have a laptopThree projects on this page need no office, no funder and no permission: a payment clock for one public payer, two closed firms in Choma asked why, Chitonga and Lozi data. What each hand brings and gets. The three
TheoryKremer, Jones and Goldratt on chains; North and Weingast and the literature on relational contracts on why promises bind. The rule applies that literature to one state’s record. It is not new. NumbersPublic, dated, linked. Figures derived here are marked as this page’s arithmetic. The claimA conjecture. On the Treasury’s table, the size of the bill fits better than this page’s coding; the Treasury’s own 2024 sorting of its creditors fits best, but was written after the payments; the pairs in section 04 are the stronger test. The millOne firm’s experience, marked as such: what is possible, not what is typical.

01Losses multiplyAnd the weakest step is where a fix pays most

24%what a chain of eight steps delivers when one of them works at 50 percent

A bag of meal on a shelf in Lusaka is the end of a chain. Grain was bought at harvest, stored, powered, milled, certified, packed, delivered and paid for. Each step lost a little. A week’s delay. A lot that spoiled. A generator run through a power cut. A refund that took a year. None of the losses is large. All of them are still in the bag.

Tap a link to break it, tap again to fix it.

Each step keeps a share of what reaches it, so the shares multiply. Eight steps at 90 percent deliver 43 percent. Let one work at 50 and the chain falls to 24. Fix that step and the chain nearly doubles; make a good step perfect instead and 24 becomes 27. Point for point, a gain at the weak step is worth almost twice as much, so start there, if a point costs about the same everywhere. Often it does not: a step is often weak because it was hard to fix.

What matters is that the steps depend on each other. In 1986 the shuttle Challenger was lost to one rubber seal that failed in the cold, and in 1993 Michael Kremer used that failure to explain why poor and rich countries are so far apart: a weak step lowers the value of every strong one, and the best-run firm loses most. The shuttle is the extreme case. The bag of meal is the ordinary one.

That is why so many Zambians trade. In 2013, the last time it was measured, 39 percent of adults were starting or running a business; owners in business for over three and a half years were under a tenth of that. A trader’s chain has three steps: buy, move, sell. A maker’s has ten: inputs, power, processing, certification, packing, delivery, payment, refunds, and the permits in between. At 90 percent a step, the trader’s chain delivers 73 percent, the maker’s about a third. The count depends on how steps are drawn. The gap does not.

At 90 percent a step

Trader, 3 steps
73%
Maker, 10 steps
35%
Share of the value delivered when every step keeps 90 percent: 0.9 to the power of 3 and of 10 (this page’s arithmetic).
Data
ChainStepsDeliveredArithmetic
Trader: buy, move, sell373%0.9 × 0.9 × 0.9 = 0.729
Maker: inputs, power, processing, certification, packing, delivery, payment, refunds, permits1035%0.9 to the power of 10 = 0.349

The border should help. Zambia is landlocked, so every import carries the freight, and on paper a maker selling at home starts with that cushion. On the shelf it does not show: the supermarket chains stock what their South African buyers list, and imports from Asia land below local cost (the author’s observation from the mill). Every imported input and every export pays the freight too. Trading is not a lack of ambition. Here it is the sensible calculation.

Which one step holds this chain back? Who owns it? And who pays when it fails?

That finds the step where a point is worth most. It does not say why that step loses so much here, or whether it can be mended at all. So look at what a step is.

02A step is a promiseAnd a promise binds in proportion to what it costs to break it

4sources of the cost that makes a promise bind: exit, a court, visibility, self-execution

Look closely at any step and it is a promise between two parties. Deliver by Friday. Pay in thirty days. Approve within the statutory period. Refund the tax. A step works when the promise is kept on the date, and loses when it is kept late, in part, or not at all. The losses down a Zambian chain are promises that do not bind: the unpaid bill, the refund that never arrives, the permit with no deadline, the loan nobody collects.

A promise is kept when breaking it costs the promiser more than keeping it. That cost comes from four places, the same four throughout this page. Exit: a customer who leaves, a supplier who stops, a counterparty who can walk away. A court the other side can actually use. Visibility: a break seen by someone who matters to the promiser. Self-execution: money that moves on its own, a deduction at source, a key that does not turn.

A promise binds in proportion to what it costs the promiser to break it. When cash is short, the state pays in the order of what breaking each promise costs it.

The second sentence is the first under pressure, tested here against two simpler rules: cash alone, which squeezes every creditor together, and first come, first served. The rule is not new. A sovereign’s promise is believed when something can make breaking it costly to the sovereign; where courts are weak, trade runs on relationships whose future is worth more than a broken promise. What this page adds is the Zambian record.

The mechanism decides, not the intention. The United States cut its payment time to small contractors from thirty days to fifteen; payroll at those firms rose ten cents for every dollar paid sooner, partly offset by fewer jobs at other firms where labour was scarce. Europe wrote the same right into law, with interest after thirty days, and less changed than intended: a small firm will not claim interest from a payer it depends on. The promise bound where breaking it cost the payer automatically, not where the supplier had to dare to ask. The United States was not short of cash, so the lesson carries only to arrears a Treasury could pay.

Two qualifiers. A target is not a promise: it has no counterparty and no cost for missing it. Once someone pays for missing it, it has become a promise. And some promises no decision can keep. In February 2026 the National Health Insurance Management Authority (NHIMA), the state health insurer, owed clinics K500 to 600 million against a 45-day contract, and said it did not have the money. Raising the cost of breaking that promise would only move the loss to another creditor. This page is about the promises that could be kept and are not: the steps where the fix is a decision, not money. Those are the ones worth finding first.

03Who owns the stepThe state’s order of payment

1%of what road contractors were owed at the end of 2021 was paid in the next 27 months. Farmers were paid in full.

This page’s conjecture is that many of the steps that hold a Zambian chain back are owned by a public body and end in a payment. So who owns the step becomes: in what order does the state pay? The law writes part of the order down. Public debt is a charge on the Consolidated Fund, pensions are to be “paid promptly and regularly”, statutory payments come first, and the rest is released at the Treasury’s discretion. The Zambian record shows the order with unusual clarity: one administration paying the bills of two.

The Treasury’s 2024 arrears strategy states four principles for which old bills it clears first, in its own words: “arrears related to critical services with social impact”, which it says entails paying “contractors offering discounts to the Government on their claims”; arrears “where refinancing at a cheaper cost is possible”; “first in first out”, older bills before newer; and “local suppliers of goods and services”, whose bills are smaller than external contractors’. They are not presented as a ranking. The same strategy then sorts everything still owed in March 2024 into five numbered categories, each with a year by which it is to be cleared (its Table 2.0). It also shows what each kind of creditor was owed at the end of 2021, and what was paid in the next 27 months:

Share paid by March 2024 of what was owed at the end of 2021

Owed at end 2021 to
050100%
Farmers, through the FRA
100%
ZESCO, Zamtel and the water companies
100%
Input suppliers to FISP
98%
Pensioners
80%
People who won in court
58%
Suppliers of rations
41%
Independent power producers
36%
Firms owed VAT refunds
34%
Ordinary suppliers of goods and services
32%
Capital projects
23%
Its own staff, for allowances
20%
Fuel suppliers
14%
Road contractors
1.1%
Contractors on cancelled foreign loans
no share
Cleared by 2024Category 12345No share
The Treasury’s table as bars, highest share first. Colour is the Treasury’s own 2024 sorting of what was still owed into five categories, lighter for the earlier ones; the two classes it had already cleared are lightest, and the class with nothing owed at the end of 2021 has no share. Shares are this page’s arithmetic on Table 1.0; the table below is the data.
Owed at end 2021 toOwed, K mPaid, K mShareCoded cost of breakingTreasury’s category, 2024
Farmers, through the Food Reserve Agency (FRA), the state grain buyer2,0602,060100%CrowdCleared
The state’s own utilities: ZESCO, Zamtel and the water companiesthree rows in the Treasury’s table643643100%SupplyCleared
Input suppliers to FISP, the farm input subsidy1,6661,63298%Supply, crowd1, in 2024
Pensioners1,3181,06080%Law, crowd1, in 2024
People who won in court3,9072,28258%Court2, in 2024
Suppliers of rations35914941%Supply2, in 2024
Independent power producers, through ZESCOpaid by ZESCO from its own revenues; K18,985m written down by negotiation48,47517,30536%Supply3, to mid-2026
Firms owed VAT refunds10,3683,50834%None3, to 2025
Ordinary suppliers of goods and services6,3042,03432%None2, to 2029
Capital projects3,23775323%None4, to 2029
Its own staff, for allowances9,2111,80120%Crowd2, to 2029
Fuel suppliers11,3971,64514%Supply, penalty5, refinanced in 2024
Road contractors8,982981.1%Penalty4, to 2029
Contractors on cancelled foreign loansno stock at end 2021; K12,200m fell due when the loans were cancelled00no shareNone stated4, to 2028

Treasury arrears strategy 2024, Table 1.0, all fourteen creditor classes, with its three utility rows (phone, power, water) merged into one: payments January 2022 to March 2024 beside the end-2021 stock. The Treasury’s own subtotal covers the twelve domestic classes, K59.5 billion owed and K17.7 billion paid; it carries the power producers separately, as a contingent liability paid by ZESCO, the state power utility, and the contractors on cancelled loans as a new class. Shares and coding are this page’s. Where payment equals the stock it went to the old bills; elsewhere some may have gone to newer ones. The last column is the Treasury’s own sorting, in August 2024, of what was still owed into five categories with a clearance horizon each (Table 2.0); farmers and the utilities were already cleared and have none. The rank correlation of each column with the share paid is in section 11.

The coded column tests five things: a duty with priority written in law (law); a creditor who can stop something the state needs within the season (supply); a large group that votes or protests together (crowd); a court order (court); a claim that grows by contract while it waits (penalty). The tests were written after the percentages were known, so the coding is not blind. The contractors on cancelled loans have no end-2021 stock, so no share to test, and are left out of the correlations.

Read honestly, the table half fits. Every class paid 80 percent or more scores on a test; every class that scores on none was paid about a third or less. The big misses are fuel and roads. Fuel suppliers could stop supply and held penalty clauses, and were paid 14 percent; their bill grew until interest and penalties exceeded the principal, and they were cleared in 2024 and 2025 with bank loans. Road contractors held interest clauses and were paid one percent. A penalty the creditor cannot execute against the State (section 05) adds to the bill, not to the pressure. The VAT row, coded none, was paid 34 percent though the mines held most of the refund stock. Two simpler rules compete. First come, first served does not fit: every row is the same end-2021 stock, and the shares run from 1 to 100. Cash alone fits better than this page’s coding: seven of the thirteen classes received between K1.6 billion and K3.5 billion whatever they were owed, so the share paid falls with the size of the bill. The nearest thing to a blind test is the Treasury’s own 2024 sorting of what was still owed into five categories, and it fits the shares best: category 1 for its “considerable social economic impact”, category 5, fuel, “the most costly category to the Government”, numbered last and refinanced first. Two cautions. The categories were written in August 2024, after the payments in the table; and a Treasury describing good triage and a Treasury paying in the order of what hurts it write the same list.

As a creditor, the state already shows which promises bind here: from the mill, the public systems that improved most are the ones that collect by deduction or before the service, promises that execute themselves. Where it must chase, it does not: taxpayers owed the Zambia Revenue Authority (ZRA) K71.3 billion at the end of 2025, and the Citizens Economic Empowerment Commission (CEEC), the state’s enterprise fund, had no repayments by the end of 2024 on K394 million lent.

One correction to the question itself. “Who owns the step” is rarely answered by “the state”. The state is not one organisation with one will. It is the Treasury, line ministries, agencies, the Bank of Zambia and a governing party, each bound by a different cost. The Food Reserve Agency (FRA), the state grain buyer, shows it across its 2025 and 2026 seasons: the Treasury wrote to the IMF, the state’s lender under its 2022 to 2026 programme, that the FRA would buy at market-based prices and be funded only within the budget; the agriculture ministry and the FRA bought four times the plan. Each kept the promise that would have cost it most to break. An outside sanctioner binds the part of the state it measures, the Treasury, and not the parts it does not. So the question for any chain is not whether the state will keep a promise, but which part of the state owns the step, and what breaking it costs that part.

What the table cannot show, pairs can: the same creditor, with only the cost of breaking changed.

04Same creditor, different costHold the creditor fixed and move the cost. The promise moves with it.

K6bnpaid to farmers by 28 August 2026, two weeks after the vote. A year earlier, July deliveries were unpaid in December.

If cash alone decides, a promise moves with the cash. If the rule is right, it moves with the cost of breaking it, even when the creditor stays the same.

The farmers, two seasons

Same creditor, two clocks: July to December

JulAugSepOctNovDec 2025delivered from July, still unpaid in December 2025: July deliveries still unpaid in December; the FRA owed farmers more than K7 billion 5 November 2025: more than K7 billion owed; a K5 billion bank facility secured on the FRA's maize K7bn owed; K5bn bank loan, November 2026delivered July to August, paid by 28 August 2026: over a million tonnes bought and over K6 billion paid by 28 August Vote on 13 August 2026 vote, 13 Aug
Same buyer, same farmers: delivery to payment, 2025 against 2026. The vote was on 13 August 2026.
Data
YearDateEvent
2025JulyDeliveries begin
20255 NovemberFRA owes farmers more than K7 billion; K5 billion bank facility secured on its maize
202510 DecemberJuly deliveries still unpaid
202613 JulyFRA told to pay on the spot
202613 AugustGeneral election
202628 AugustOver a million tonnes bought, over K6 billion paid

Same buyer, same farmers. In 2025, July deliveries were still unpaid in December. The minister cited a bumper harvest and too few private buyers; the FRA owed farmers more than K7 billion and settled with a K5 billion bank facility secured on its own maize. In 2026, an election year, the FRA was told in July to pay on the spot. By 28 August, two weeks after the vote on 13 August, it had bought over a million tonnes and paid over K6 billion, most of what it then owed: a million tonnes at K347 a bag is about K6.9 billion (this page’s arithmetic). One season pair is not a pattern, and the planting season binds too: the 2021 arrears to farmers were paid in full in 2022 to 2024, with no vote near. The Fund’s published reading, in January 2026: the FRA’s purchase prices “are typically set just below prevailing market price levels, but have been set above market prices in the last three elections cycles”, and “when budget allocations are insufficient, the cost is shifted to farmers through arrears accumulation”. For 2026 the FRA’s board promised to process payments “within three days of grain delivery”. One unpublished observation, the author’s own from the maize trade in Southern Province and to be weighed as such: within weeks of the vote, farmers were complaining of non-payment again.

The same season shows what a target is worth. In its letter to the Fund in late 2025 the government wrote that it would fund the FRA only in line with budget commitments, and that it would buy “at market-based prices”; its agricultural transformation programme proposes reviewing the FRA’s mandate “with a view to reverting” to reserves and last-resort buying. In May 2026 the FRA planned at least 500,000 tonnes; by the close on 30 September it had bought over 2 million. The budget for maintaining strategic food reserves was K2.1 billion; 2 million tonnes at K347 a bag is about K14 billion (this page’s arithmetic). A firm that planned on the announced step back planned on a target. The letter was the Treasury’s promise and the buying was the ministry’s and the FRA’s; each kept the promise that would have cost it most to break.

Salaries and allowances

The state’s own staff are one creditor with two promises. In September 2025 the finance minister said central government salaries had been paid “consistently and on time” since 2021, with one exception, the August 2025 payday, which he put down to a technical glitch; that is his claim, and no counter-claim was found. Allowances owed to the same staff were 20 percent paid. Every household sees the payday; an allowance is a claim one person makes alone. Salaries paid through grants bind less: through 2024, staff at the University of Zambia (UNZA) were paid late because the monthly grant came late.

Pressure from outside

The IMF programme of 2022 to January 2026 was the largest outside cost placed on the state, and it bound what it measured. New foreign arrears sat under a performance criterion that could stop a disbursement; domestic arrears under an indicative target, which cannot. The target was missed at June 2025 and met at September, because the fuel operation counted. In 2023 the cash balance improved “including on the back of accumulation of expenditure arrears”; when foreign debt payments resumed in 2025, goods and services were cut by about one percent of GDP. The programme ended in January 2026; talks on a successor opened on 30 September. Between programmes, even the target has no anchor.

The Zambia Medicines and Medical Supplies Agency (ZAMMSA), the state’s medicines buyer and distributor, shows what outside pressure can do, and what it cannot. Its promise is plain: medicines bought for clinics reach clinics. In May 2025 the United States cut US$50 million a year of medicines aid, citing systematic theft since 2021 and a forensic audit that, more than six months in, had not been published. The audit’s findings reached the press two months later. In October 2026, after audits found procurement at inflated prices, unaccounted-for stock, missing system records and medicines diverted from public health facilities, the government separated all 150 staff of ZAMMSA and said they would receive their dues in accordance with the law, the Employment Code that binds it as it binds any private employer. For years before any of this, the patients bore the cost of the broken promise. Seventeen months passed between the outside cut and the separation, and the timing alone does not show what caused it. Changing the people resets the step. It does not make the next team’s promise bind.

One grid, two kinds of bond

In the 2024 drought, one grid, ZESCO’s, kept two promises differently. The mines were largely protected and imported power; households and small businesses absorbed load-shedding of up to twenty hours a day, for months. A mine’s lost output shows in next month’s export figures. A small firm’s shows nowhere.

When the cash ran out in 2020, the state defaulted on its dollar bonds and kept every kwacha bond and bill paid. The kwacha paper is held mostly by the country’s own banks and pension funds; the Treasury’s stated reason for keeping it out of the restructuring was “to preserve financial stability and ensure a well-functioning domestic debt market”. Two different things happened at once. The default itself is the plainest case where cash beat cost: four years outside the market was a known price, and it was paid. Within the shortage, the order held: of the two promises, the one whose breaking would cost most at home was the one kept. The dollar bonds have been paid on schedule since the 2024 exchange.

The state keeps the promises that can hurt it. Change what breaking one costs, and the same creditor is paid.

05Who paysThe creditor carries the wait, and the Treasury saves on it

K12bnabout, each year, in interest the Treasury does not pay by carrying its arrears rather than borrowing at its bill rate (this page’s arithmetic)

K84.1bn of verified domestic arrears is

2026 budget, K253.1bn

a third of everything the state spends in a year: K84.1bn against a budget of K253.1bn (33 percent)

Health, year 1
year 2
year 3
and K5.5bn

three years of every public hospital and clinic, every nurse and doctor on the government payroll, and every drug it buys: K84.1bn is 3.2 times the K26.2bn health budget

Each block is K1 billion, with the K84.1 billion in evergreen. The budget total and the health allocation are from the 2026 Budget Address (K253.1 billion, 27.4 percent of GDP; K26.2 billion, 10.3 percent of the budget); the comparison is this page’s arithmetic.
Data
FigureK bnComparison
Verified domestic arrears, August 202584.1
Total spending, 2026 budget253.184.1 / 253.1 = 33 percent
Health, 2026 budget26.284.1 / 26.2 = 3.2 years

When a promise breaks, somebody carries it. Verified domestic arrears stood at K84.1 billion at the end of August 2025 on the 2026 budget speech, up K3.3 billion from December 2024; how that figure sits beside the Treasury’s own K88.7 billion of March 2024 is in the numbers table. At the Treasury’s own borrowing costs in October 2025, 13.9 percent on bills and 17.7 on bonds, carrying K84 billion instead of borrowing it saves about K12 billion to K15 billion a year in interest (this page’s arithmetic: 84.1 times 13.9 percent is K11.7 billion). That is more than twice the K5.5 billion the 2026 budget gives to clear arrears (K4.7 billion) and pay court awards (K0.81 billion).

The saving is on the classes with no interest clause: ordinary suppliers, refunds, staff claims. On the classes with penalty clauses the Treasury’s own account shows the opposite. By the end of 2023 the fuel suppliers’ interest and penalties exceeded the principal, and the bank loans that cleared them, at under 13.25 percent, were “notably lower than the penalty rates previously incurred”: on those bills, waiting cost more than borrowing. The saving on the rest holds while suppliers do not price the wait into their bids. Where they do, the state pays for its arrears in higher contract prices, spread thin and hidden. Either way the firm carries it first, at the 29 percent banks charge, if a bank will lend. In Europe, once late-payment rules were tightened, firm exits fell most in the sectors that sell most to government.

The 2026 budget: K73.7bn for debt payments, K5.5bn for old bills and court awards

Debt payments, K73.7bnOld bills and court awards, K5.5bn
About thirteen kwacha of debt payments for every kwacha of old bills and court awards, 2026 budget: 73.7 / 5.5 = 13.4 (this page’s arithmetic). Each block is one kwacha in that ratio.
Data
2026 budget lineK bn
Domestic debt payments, which the budget table labels interest52.0
External debt payments21.7
Debt payments, together73.7
To dismantle arrears4.7
Compensation Fund, court awards0.81
Old bills and awards, together5.5

The arrears strategy had promised at least K6.8 billion a year across all its legacy classes, roads and fuel refinancing aside. The budget’s named arrears line is K4.7 billion; whether other lines carry the rest is not shown in the speech. It was the Treasury’s own target, in this page’s sense of the word: no counterparty, and no stated cost for giving less. Over the 27 months of the Treasury’s table, K17.7 billion of old bills were paid on the twelve domestic classes and K13.9 billion of new ones created on the same classes. None of this needs bad intent. Nobody ranks suppliers last. Nobody has to.

18 years at K4.7bn a year

To clear K84.1bn at the budgeted K4.7bn a year, if nothing new were added: 2026 to 2044.

2026: K4.7bn paid, K79.4bn still to clear2027: K4.7bn paid, K74.7bn still to clear2028: K4.7bn paid, K70.0bn still to clear2029: K4.7bn paid, K65.3bn still to clear2030: K4.7bn paid, K60.6bn still to clear2031: K4.7bn paid, K55.9bn still to clear2032: K4.7bn paid, K51.2bn still to clear2033: K4.7bn paid, K46.5bn still to clear2034: K4.7bn paid, K41.8bn still to clear2035: K4.7bn paid, K37.1bn still to clear2036: K4.7bn paid, K32.4bn still to clear2037: K4.7bn paid, K27.7bn still to clear2038: K4.7bn paid, K23.0bn still to clear2039: K4.7bn paid, K18.3bn still to clear2040: K4.7bn paid, K13.6bn still to clear2041: K4.7bn paid, K8.9bn still to clear2042: K4.7bn paid, K4.2bn still to clear2043: K4.7bn paid, K0.0bn still to clear 2026202820302032203420362038204020422044
Each segment is one year’s K4.7 billion, the 2026 budget’s line for dismantling arrears; 84.1 / 4.7 = 17.9 years (this page’s arithmetic). The stock grew by K3.3 billion in the eight months to August 2025, so the clock assumes what has not yet happened.
Data
FigureValue
Verified domestic arrears, August 2025K84.1bn
Budget line to dismantle arrears, 2026K4.7bn a year
Years to clear at that pace, nothing new added17.9
Year the stock would be cleared2044

Winning in court does not move a creditor up. The law bars execution or attachment against the State; judgments are paid from the Compensation Fund as money allows. In a 2022 constitutional case over costs agreed in 2009 and still unpaid, the State told the court it had lacked the funds, and that judgment debts going back to 1999 were unpaid too. The court dismissed the petition, and urged that the Fund be given enough to clear judgment debts promptly.

Sometimes the bill is moved rather than carried. In 2025 the FRA borrowed against its maize to pay farmers, and the fuel arrears were cleared with a bank loan. Both creditors cost the state something to keep waiting. The ordinary supplier costs it nothing, so the ordinary supplier waits.

A sale that is paid in a year was not a sale. It was a loan to the Treasury at zero.

06The radiusWhere no court is used, a promise reaches as far as its owner can walk

611days to enforce a commercial contract through the Lusaka magistrates’ court, the last time anyone measured it

Where a small firm cannot use a court, a promise binds only as far as the firm can reach. Enforcing a contract in court took 611 days and cost 38.7 percent of the claim, on data to 2019. So a bank lends to a small firm against a title deed, or against a salary it can deduct at source: a promise it can execute itself. Studies of firms where courts are weak find the same. Trade credit goes to customers known through networks, dealt with for years, or with nowhere else to buy; firms that trust the courts extend more of it.

From the mill: it supplies on credit only to established companies, and only in Southern Province and Lusaka, where it has people. One neighbour buys on a handshake. That is the radius. Credit goes where the owner can walk over, to a counterparty who will be there next season. Beyond the radius, cash. Making things means crossing the radius, because a long chain runs through strangers. Trading stays inside it.

And the radius shrinks from the top. A firm given no credit extends little; its buyers, given little, extend less. In the mill’s words: “we prefer cash because we do not have access to credit, and that limits our growth.” The share of registered firms with a bank loan fell from 10.1 percent in 2019 to 3.1 percent in 2025; banks paid for 0.8 percent of what firms invested. Lusaka and the Copperbelt took 80 percent of the loans made in 2025.

Lending to the state competes with lending to firms. A fifth of all bank assets sits in government paper, and the sector earned a return on equity of 30 percent in 2024. At one of the largest banks, government securities out-earned all its loans in 2024, a year after loans had earned more. NAPSA, the national pension scheme, holds nearly half of its K87 billion in government paper. The worker’s saving lends to the Treasury at 14 to 18 percent; the firm that employs the worker borrows, if at all, at 29. The Bank of Zambia’s own research found that the more a bank lends to the government, the less it lends to everyone else. The arrow may run both ways, since small firms a bank cannot read are hard to price. Either way, the bank that lends to the Treasury instead of the mill has shortened every chain below the mill.

Where K100 of deposits went, end of 2025

Lent to anyone
K45
  of which small firms
K5.75
  of which small farms
K0.58
Lent to the government
K31
At the Bank of Zambia
K26
With banks abroad
K17

The K26 at the Bank of Zambia is mostly the 26 percent reserve it requires. The small-firm and small-farm bars apply their shares of 2025 lending (12.8 and 1.3 percent) to the year-end stock, so they are indicative (this page’s arithmetic). Banks also hold capital and borrow, from the Bank of Zambia and from abroad, so their assets exceed their deposits and the bars add to more than K100. In March 2026 savers earned 7.5 percent; borrowers paid 28.6.

Credit goes where the owner can walk over. A record that travels lengthens the walk.

07What makers doFewer promises from others, and the ones that remain cost more

0jobs lost at the mill when it built its own systems on AI; it hired more

The makers that survive need fewer promises from others, or make the ones they rely on execute themselves. This describes survivors. It is not advice, and the mill is one specimen.

They own more steps. The mill makes, packs, delivers and sells through its own people, so each of those promises is to itself. They make their own steps cheap. The roles a forty-person firm never had, the accountant, the analyst, the compliance clerk, now cost electricity and an owner who can steer them. Those roles were weak steps, because the firm did without them, so fixing them gains a lot. And by the arithmetic of section 01, the stronger a firm’s own steps, the more each remaining broken promise costs it. Software widens the gap this page describes, and raises the return on closing it: a firm whose own steps are strong can see which promise from outside is costing it most.

One mill, two years

Yumi Milling built its own systems on AI: sales, stock, books, customer messages, reporting. It replaced a bought-in system that never went live. Nobody lost a job. The firm stopped buying hours from consultants and started competing with firms ten times its size. The steps it did not move are exactly the ones this page is about: when buyers pay, when the power holds.

They sell for cash, or on short fixed terms, and walk away from buyers whose promise does not bind, even when the buyer is the state and the volume is tempting. They pay their own suppliers on a fixed day, because a promise that binds is worth money to the other side: Kenyan dairy farmers accept a lower price from a buyer who can be trusted to pay monthly in a lump sum. What a firm cannot move on its own is the subject of the next section.

08What this makes possibleThey exist. They can be found. Some can be fixed.

3.7local jobs for every salaried job in a Zambian district that sells beyond it

The weak links are there. This section says what they are worth, what has become cheap, and whose hands each one needs.

The country adds about 700,000 people a year on the projections of ZamStats, the statistics agency. The current plan targets a million jobs over five years; the World Bank puts the need at more than ten million by 2050. They will probably not come mainly from factories in zones: across Africa, large modern firms have raised output without adding many jobs. The jobs are probably in the middle of the chain, where the most promises have to bind.

The food system, farm to plate

Share of all jobs
51%
Share of GDP
15%

IFPRI, the food policy research institute, 2023, on its own definition of work, which counts more farming than the 2024 Labour Force Survey does.

The value is off the farm. The people are on it. The distance between the two is the chain. Across districts in ten African countries, places with more salaried jobs that sell beyond the district have more local jobs too: for Zambia, about 3.7 for each. How many one promise made to bind would bring is not known.

The return on a point at a weak step is the value of everything behind it, so the map of weak links is also a map of returns. A decision is cheap to change; a dam is not.

What software moves

Software does not by itself create a cost for breaking a promise. But three of the four sources of that cost, visibility, self-execution and exit, are now things a small firm or a single office can build, and the first of them needs no new law. Visibility: the record of who kept which promise now costs little to keep, and a promise broken in public costs something without a court. Self-execution: interest that accrues without a claim, escrow that releases on delivery, a warehouse receipt that is the collateral. Exit: a firm whose record travels with it can leave a bad buyer and be trusted by the next; in one Caribbean lender’s data, phone use predicted repayment about as well as a credit bureau did. Software does not move a court. It does not move cash.

Software that anyone can copy is being repriced towards zero. What keeps its value is software tied to a step that did not get cheaper: power, roads, borders, a licence, a buyer who pays on a date, a record. From the mill, e-GP, the public purchasing system firms must use to sell to the state, is the hardest public system to use: a step that did not get cheaper. Across 187 countries, stricter procurement rules go with better outcomes only where public offices are weak, which is where Zambia sits, so a written rule may bind here where a better interface would not.

The opportunity is in records. AI can make records cheap to keep, readable in the languages people use, and useful to a forty-person firm.

Each of the four costs that make a promise bind is placed by someone other than the promiser: a court by the state, exit by firms that can leave, visibility by whoever measures and publishes, self-execution by whoever builds the system, which can now be one person with a laptop. No one of them can place all four, which is why the weak steps on this page sit where two owners meet. Each case below says which hands it needs.

The payment clock

What it moves. Visibility. A measurement, not a lever: a known number is harder to carry than an unknown one, and a supplier who can see it can choose. What still binds. Exit, and the part of the state that is measured, not the payer’s conscience. Cash is not moved; that is the test’s point. Within a year. The series exists for one payer (test 2 in section 09). Hands. Suppliers and whoever publishes can start without asking; the payer can veto by not confirming dates.

The warehouse receipt

What it moves. Self-execution: a receipt that is the collateral, so the lender holds the grain without knowing the farmer. The Act passed in March 2026 is not in force. What still binds. It removes the bank’s stated reason not to lend; it does not make it lend. And the collateral’s value is set by politics in an election season: the FRA’s price sets it. Within a year. One loan against a receipt to a borrower the lender did not know. Hands. One warehouse, one lender and one borrower, under the regime in force; the minister can veto by not bringing the Act into force, the FRA by buying above market.

Models that read Chitonga and Lozi

What it moves. The precondition for visibility, not a lever: a record nobody can read is visible to nobody who could act on it. Chitonga and Lozi are not in the standard text benchmark for translation models, where Bemba and Nyanja are, though a university speech corpus covers all four. What still binds. Whatever bound before: a readable record changes who sees a break, not what breaking costs. Within a year. A model reading Chitonga at a stated accuracy on the public corpus. Hands. Anyone with the corpus and compute; the holders of the records and of the corpus licence can veto.

None of this needs a committee. Each step where two owners meet needs one promiser, one creditor and one person counting, because a step that everyone owns is the step nobody pays for when it breaks. And the promiser is an office, not a sector.

The mill is the specimen of section 07. It pays its suppliers on a fixed day and keeps its own records (the box there), and the step it could not move, when a buyer pays, is the first case above.

The next section reads the World Bank’s firm survey as partly a record of late payment. If firms that sell to the state name finance no more often than firms that do not, this page withdraws that reading.

The weak links are there. Some can be found with public numbers and a few hundred scored chains, and this page is a first, partial map of where effort would probably pay. Some can be strengthened without anyone’s permission. Within a year we will know whether that holds for one payer, one receipt and one language, and the next version of this page will say which.

09How this page could be wrongThe survey evidence against it, and five tests

The rule is a claim, not a finding, and the best survey evidence cuts against its emphasis. Between October 2025 and May 2026 the World Bank asked 608 registered Zambian firms to name their single biggest obstacle. They named finance and power, not late payment by the state.

Access to finance
29%
Electricity
24%
Informal competitors
12%
Customs and trade rules
9%
Tax rates
9%

Percent of all firms, as the published profile rounds them; licensing and permits are not among the ten obstacles it charts. Small firms name finance more often, 33 percent. The 2019 survey gave the same first two. Nine firms in ten had power cuts, 21.6 a month on average. Informal firms, the smallest firms and farms, most of the people this page is about, are outside the survey.

This page reads the finance answer as partly where other broken promises land: a firm waiting on a public payment reports a finance problem, because the survey allows one answer. That is a reinterpretation, and it can be checked. The first test: the survey asks each firm whether it secured or tried to secure a government contract, so cross that with the obstacle named. Four more tests could settle it within a year:

  1. Recode the cost column of section 03 blind. Someone who has not seen the payments scores each of the thirteen creditor classes on the five tests. If the blind coding does no better than the size of the bill, the order is cash, not cost. The Treasury’s own 2024 categories are a first check (section 03).
  2. How many days does one public payer take, from approved invoice to money? No office publishes it. A monthly series beside the Treasury’s cash balance would show whether the weak creditors wait even when cash improves: the rule predicts they do, cash alone that they do not.
  3. What kills firms between their first year and their fourth: the market, the promises public bodies break, or a competitor who skips the obligations the formal firm pays for? In Choma, a small mill and a sunflower-oil press closed in the last two years. Nobody has yet asked them why.
  4. How many broken public promises are the clinics’ kind, which no decision could keep? If most are, the argument narrows to money.

The tool at the end of the page (section 12) collects chains from the people who run them. It gathers hypotheses, not proof, and the people who run chains are the only ones who can name the steps. Where they blame a step they do not own, that is itself a claim worth checking.

10The numbersThe country, in figures with sources

Everything on this page stands on these numbers. Each is public, dated, and linked to its source.

FigureWhat it isSource
12.0mPeople of working ageLabour Force Survey 2024
3.97mCounted as employed; 1.18 million of them, 30 percent, worked in registered firms and institutions, the formal sector (this page’s arithmetic on the survey’s counts). On the survey’s own measure of the job rather than the firm, 74.2 percent were informally employed; the two are different conceptsLFS 2024
7.4mOf working age but outside the labour force. Most farm for their own consumption, which the statistics no longer count as employmentLFS 2024
~700kPeople added every year: 23.0 million in 2026, 23.7 million in 2027, medium projectionZamStats projections 2023 to 2047
51%Of all jobs are in the food system, farm to plate, on IFPRI’s definition of work; it makes 15 percent of GDPIFPRI 2023
12.5%Bank credit to the private sector, as a share of GDPWorld Bank, 2024
K45Of every K100 deposited, lent to anyone at all at the end of 2025; K31 in government paper, K26 at the Bank of Zambia (mostly the 26 percent reserve requirement), K17 with banks abroadBank of Zambia, 2026
12.8%Of credit disbursed in 2025 went to small and medium firms; 1.3 percent to small farmsBoZ credit-market data, Q1 2026
3.1%Of registered firms with a bank loan or credit line in 2025, down from 10.1 percent in 2019; banks paid for 0.8 percent of their investmentEnterprise Survey 2025
46%Of NAPSA’s K87 billion is lent to the governmentNAPSA, end-2024
K84.1bnVerified domestic arrears at the end of August 2025, up K3.3bn from December 2024 on the budget speech; K77.5bn at the end of September 2024 on the minister’s March 2025 statement. The speech’s label is payments to suppliers of goods and services; the Treasury’s own table at March 2024 counts tax refunds, pensions, staff claims, court awards, fuel, roads and power producers under domestic arrears, K88.7bn in all2026 Budget Address; Finance Minister, March 2025; Treasury, 2024
1% / 100%Share of what was owed at the end of 2021 that was paid by March 2024: road contractors 1.1 percent, farmers 100, ordinary suppliers 32, power producers 36. Shares are this page’s arithmetic on the Treasury’s table. Over the same 27 months K17.7bn of old bills were paid on the twelve domestic classes and K13.9bn of new ones created; beside that, K12.2bn fell due to contractors when foreign project loans were cancelled, K13.3bn of late-payment interest was added to the fuel bill, and K19.0bn of the power producers’ claim was negotiated awayTreasury arrears strategy, 2024
13.4 : 1Debt payments (K73.7bn: K52.0bn domestic, which the budget table labels interest, and K21.7bn external) against K4.7bn to clear arrears plus K0.81bn for the Compensation Fund, in the 2026 budget; this page’s arithmetic2026 Budget Address
about 18 yearsTo clear K84.1bn of arrears at the K4.7bn a year the 2026 budget sets aside, if nothing new were added (84.1 / 4.7 = 17.9; this page’s arithmetic)2026 Budget Address
K3.18bnInterest one large bank earned from government securities in 2024, against K2.55bn from all its loans; in 2023 loans still earned moreZanaco, audited note 4
K71.3bnTax debt owed to ZRA at the end of 2025; 82 percent of it by private businesses; the collectable share is not publishedZRA, September 2026
K13.7bnVAT refunds approved and unpaid at the end of August 2026; in 2024, 87 percent of the refund stock was owed to minesZRA, September 2026
611 daysTo enforce a commercial contract through the Lusaka magistrates’ court, at 38.7 percent of the claim, on data to 2019; nothing comparable has been published sinceWorld Bank, Doing Business 2020
3.1 MtMaize held by the FRA on 18 September 2026 (1.7 Mt bought since May, 1.4 Mt carried over); by the close of buying on 30 September, over 2 Mt bought, so about 3.4 Mt with the carry-over. Against 1.83 Mt in the 375 listed storage facilitiesLusaka Times, 18 Sep 2026; News Diggers, 30 Sep 2026; News Diggers, May 2026
−⅓Electricity supply in 2024, cut by drought; load-shedding up to twenty hours a day for months. The mines were largely protected and imported power; households and small businesses absorbed the cutsWorld Bank, 2026

One figure is older than it looks: the entrepreneurship survey in section 01 dates from 2013, and the text says so.

11The theoryThe papers and the models behind the argument

For readers who want the history and the maths. Each paper is one card: what the original work did, its model in the simplest form that keeps the point, and what it means here. Where a calculation is this page’s own rather than the paper’s, it is marked own illustration.

This page’s ownA weak link, in the language of the models

Five quantities are enough to write the argument down.

  • V is what the chain would be worth if every step were perfect.
  • qj is the share of value that step j keeps, between 0 and 1. A step at 90 percent has q = 0.9.
  • Y is what the chain actually delivers: V times every q multiplied together. Eight steps at 0.9 give Y = 0.43 V, the number at the top of the page.
  • e is the effort the owner of one step, step i, puts into it, and c(e) is what the effort costs the owner. More effort raises qi; qi′(e) is how much a little more effort raises it.
  • s is the share of the chain’s gain that the owner of the step feels: what breaking its promise costs it. A firm that owns the whole chain has s = 1. A public office whose budget does not move when the chain loses has s close to 0.

Y = V · q1 · q2 · … · qn

Raise qi by one point and Y rises by Y/qi, which is V times all the other qs: the value of the rest of the chain. It does not depend on qi itself. For the weakest step, the rest of the chain is the strongest set, so a point there is worth most. That is the whole case for fixing the weakest step first, and it holds only if a point of improvement costs the same at every step. In proportional terms a 10 percent gain is worth the same 10 percent anywhere. The owner sees only the share s of the gain, adds effort while that exceeds the extra cost, and stops where the two are equal:

s · ( Y / qi ) · qi′(e) = c′(e)

  • Lower s toward zero and the left side vanishes. The owner stops adding effort however large the chain’s loss. This is the broken promise: the cost of breaking it falls on the chain, not on the promiser.
  • Raise s, by interest that accrues on a late payment, a published clock or a right of offset, and the owner adds effort until the equation balances at a higher qi.
  • Make the rest of the chain stronger (raise Y/qi) and the same broken promise costs the chain more. A firm that makes its own steps strong, with software or anything else, feels a late payer more, not less (section 07).
  • Make the fix cheap (small c′) and even a small s moves the step. A payment that is approved but not released is a decision, and decisions are cheap. A dam is not.
  • Make the fix money the owner does not have and no value of s moves it. This is the clinics in section 02.
  • Add the Treasury’s cash. It owes creditors 1 to m, and breaking promise j costs it sj. With cash C below what is owed, it pays in descending order of sj until C runs out. Raise s for one creditor without raising C and the arrears move to the next creditor down; they do not shrink. That is the ordering rule of section 02, and it is why the test in section 03 is about the order, not the total.

The three questions read off the equation. Which step holds the chain back: the one where a point is worth most, Y/qi large. Who owns it: whose effort e moves qi. Who pays when it fails: if s is near zero, the chain does. The qualifier, could it be kept at all: c′ small. “In proportion” in the rule is shorthand: the model says effort rises with s, not that it rises in exact proportion.

The pairs in section 04 are each a change in s with the creditor held fixed. The Treasury’s table in section 03 is s coded creditor by creditor, and the misses are reported there.

This page’s ownHow the table was tested

Section 03 sets three orderings against the share of the end-2021 stock that each creditor class was paid by March 2024, and measures each fit as a Spearman rank correlation, average ranks for ties, on the thirteen classes with a share (the contractors on cancelled loans had no end-2021 stock). Size of bill against share paid: about minus 0.66; the larger the bill, the smaller the share. This page’s coding, the count of the five tests a class scores on, against share paid: plus 0.24, or plus 0.59 if the penalty test is ignored. The Treasury’s own category, 1 to 5 in its Table 2.0, against share paid on the eleven classes it sorted: minus 0.80, the first category paid most. Seven of the thirteen classes received between K1.6 billion and K3.5 billion whatever they were owed. The coding was written after the shares were known; the categories were written in August 2024, after the payments but by the Treasury, which is why they are the nearer thing to a blind test.

North and Weingast, 1989 · McMillan and Woodruff, 1999 · Johnson, McMillan and Woodruff, 2002 · Fafchamps, 2004 · Macchiavello and Morjaria, 2015Commitment and enforcement: why some promises bind

Douglass North and Barry Weingast traced how, after 1688, the English Crown’s promises to its lenders became believable: Parliament and independent courts could now make breaking them costly to the Crown, and the state’s ability to borrow rose. A sovereign’s promise binds when something outside the sovereign can make it pay for breaking it.

Below the state, where courts are little used, firms enforce promises themselves. In Vietnam, John McMillan and Christopher Woodruff found that firms gave more trade credit to customers who would find it hard to buy elsewhere, who were found through business networks, and who had dealt with them longer. With Simon Johnson they found, in five post-communist countries, that firms which believed the courts worked gave more trade credit and were more willing to try new suppliers. Marcel Fafchamps documented the same reliance on relationships and networks among African traders and manufacturers. Rocco Macchiavello and Ameet Morjaria measured the value of a relationship among Kenyan rose exporters: it grew with the relationship’s age, and under a supply shock in 2008 exporters protected deliveries to the buyers whose relationships were worth most to them.

What it means here. The rule on this page is this literature’s rule, applied to the state as a promiser and read off its own payment record. The radius in section 06 is McMillan and Woodruff’s finding in Zambian clothes. Hallward-Driemeier and Pritchett’s “deals versus rules” gives the state’s side: where rules are not enforced, what a firm can count on is the deal it can reach.

Kremer, 1993 · Hirschman, 1958The O-ring: why steps depend on each other

Michael Kremer published “The O-Ring Theory of Economic Development” in 1993; in 2019 he shared the Nobel prize for experimental work on poverty. A product needs n tasks. Each is done at a quality q, the probability that the task comes out right. The expected output of a firm is

E(y) = kα · n · B · ∏i=1n qi

where k is capital per worker and B is output per worker when every task is done perfectly. Kremer’s content is complementarity: because the tasks multiply, the payoff to quality at one task rises with quality at the others. Strong sorts with strong and weak with weak, and the best firms pay most for good partners. This page also reads q as the share of value a step keeps, which turns the same formula into ordinary friction; that reading compounds losses, and compounded losses are smaller than added ones.

The gain from fixing one step, own illustration: raise step i from qi to perfect and output rises by

ΔY = Y · ( 1 / qi − 1 )

Fix a step working at 50 percent and the chain doubles. Fix one working at 90 percent and it gains 11 percent. The first fix is also five times as many points, so the comparison is fair only where a point costs the same at both steps.

Try it

8
90%

What it means here. The loss from a weak link is largest for the firm whose other steps are strong. So a well-run firm that depends on a weak local step routes around it: it imports the input, sells abroad, or stays small. Albert Hirschman argued in 1958 that a poor country should invest where the pressure is, at the points of densest linkage, so that shortages there induce the next investment. Hirschman saw the pressure point; Kremer and Goldratt give two different formal accounts of why it matters. Hirschman wanted deliberate imbalance; Kremer’s logic points towards matched quality.

Goldratt, 1984The bottleneck: fix the slowest step first

Eliyahu Goldratt, a physicist turned management thinker, wrote The Goal as a novel: a plant manager notices on a scout hike that the troop moves only as fast as its slowest boy, and that hurrying everyone else just stretches the line. The throughput of a line is the capacity of its slowest step:

T = min ( c1, c2, …, cn )

His five focusing steps: find the constraint; get the most out of it; make everything else serve it; raise its capacity; when it moves, start again. Under min, improving any step other than the constraint adds nothing, so fixing the weakest step first is unconditional. Under Kremer’s product it holds only if a point of improvement costs about the same everywhere.

What it means here. This is the method half of the framework. The three questions do Goldratt’s first step for a whole chain at once, and add one he did not need inside one factory: who owns the step, and who pays when it fails.

Jones, 2011 · Hsieh and Klenow, 2009Intermediate goods: how small frictions become large gaps

Income per person in the richest countries is more than fifty times that in the poorest, and measured differences in capital and schooling explain only part of it. Charles Jones looked for the rest in the web of firms that use each other’s products as inputs. Output uses capital K, labour L and intermediate goods X, which take a share σ of costs:

Y = A · ( Ka L1−a )1−σ · Xσ

If the intermediates are themselves made from output, Y appears on both sides, and solving gives Y ∝ A1/(1−σ). The exponent is the intermediate-goods multiplier. With σ around one half, it is 2: a country with half the productivity at every step ends up with a quarter of the output. Make the inputs hard to substitute for one another, the O-ring again, and the multiplier grows further.

Try it own illustration

0.50
2.0×

Hsieh and Klenow measured a cousin of this, misallocation: moving capital and labour to where they are most productive, with no new technology, would raise manufacturing productivity by 30 to 50 percent in China and 40 to 60 percent in India.

Ricardo, 1817 · Porter, 1985 and 1990Competitive advantage: why the chain decides who wins

Ricardo: two countries both gain by trading when each specialises in what it is relatively better at, even if one is better at everything. Porter: a firm’s cost is the cost of the whole value system it sits in, and national advantage is created, not inherited, out of factor conditions, demanding home buyers, capable local suppliers and rivalry. The cost of delivering one unit of value, own illustration, is the underlying cost divided by what the chain keeps, so against a competitor whose steps keep qi* the cost gap is

c / c* = ∏i ( qi* / qi )

Try it

8
90%
97%

What it means here. Weak links sit in Porter’s factor conditions, in the supporting industries (power, transport, finance, packaging) and in what government does to all four corners. Freight is one of them: it shelters the home shelf on paper and taxes every imported input and every export.

Evans, 1995 · Khan and the political-settlements schoolThe state and business: who is embedded, who is in the deal

Peter Evans compared the states that industrialised with those that did not. The ones that worked paired an insulated, competent bureaucracy with dense, institutionalised ties to producers: autonomy and embeddedness. In Zambia that dialogue runs through chambers, unions and sector associations; a small firm that belongs to none of them has the statistical form. Mushtaq Khan and the political-settlements school add why institutions work for some groups and not others: enforcement follows how groups are organised, not what the rule says. Small firms are unorganised, not a bloc.

What it means here. In this page’s terms, an organised creditor can make breaking a promise to it costly, and an unorganised one cannot. This literature says which broken promises get fixed anyway: the ones owed to creditors who are organised. It also says what would change that: a channel through which small firms’ broken promises become visible.

Johnston and Mellor, 1961 · Moretti, 2010 · Charpe, 2022Farm income, the rural non-farm economy, and the local multiplier

Johnston and Mellor set out agriculture’s five contributions to development: food, labour, savings, foreign exchange and a market for everything else. Mellor’s 2017 book showed, household class by household class, that small commercial farmers spend rising income on locally produced goods and services, generating the largest employment multiplier in the economy. Moretti measured that each tradable job in a US city goes with 1.6 local non-tradable jobs; Charpe repeated the exercise across 1,441 administrative units in ten African countries. Zambia: 3.68. Rwanda 4.62, Tanzania 3.75, Ghana 1.61, South Africa 0.53. The spread is wide, and these are associations across places, not the effect of one change.

jobs per constraint relieved = livelihoods in the chain × linkage density × labour intensity × local multiplier

Every term points at the same chain: smallholder grain and legumes, aggregation, storage and transport, processing, local demand.

Baumol, 1967 · Aghion, Jones and Jones, 2019 · Jones, 2026Automation: why making tasks free does less than it seems

Baumol observed that a string quartet needs as many players as it did two centuries ago; sectors whose productivity cannot rise take a growing share of spending. Aghion, Jones and Jones applied the idea to AI, and Charles Jones returned to it in 2026: when tasks are complements, output is held back by the tasks that have not been automated. Output combines n tasks with an elasticity of substitution ε below one. Make a share β of them infinitely productive and output rises by a finite factor, own illustration:

Ynew / Yold = ( 1 − β )−ε/(1−ε)

With ε = 0.5, automating half of all tasks, for free, doubles output, if the freed workers do nothing else. Moved to the remaining tasks, they raise it further.

Try it

50%
0.50

Acemoglu and Restrepo treat jobs as bundles of tasks: automation removes some and creates new ones. Paul David showed that electricity took about four decades to show up in productivity figures, because factories had to be rebuilt around it. The complements arrived slowly. Here the complements are the weak links.

Korinek and Stiglitz, 2021 · Acemoglu, 2025 · Otis and others, 2026AI and development: what the experiments say

Korinek and Stiglitz: AI is labour-saving and winner-takes-all, and erodes the labour-cost advantage that late developers relied on. Acemoglu, applying task-level exposure to the arithmetic of growth, finds a US productivity gain of at most 0.7 percent over ten years; for a country whose exposed share is a fraction of the US’s, the direct channel is smaller still. Brynjolfsson’s productivity J-curve: general-purpose technologies need complementary investment that accounts miss, so measured gains lag by years.

Otis and colleagues gave 640 Kenyan entrepreneurs a GPT-4 mentor for five months: null on average, about +15 percent for strong performers, about −8 for weak ones. Humlum and Vestergaard, with Danish administrative data on 25,000 workers: two years after chatbot adoption, precise zeros on earnings and hours. What moved, measurably, in Africa: six weeks of supervised AI tutoring in Nigeria, +0.3 standard deviations; AI decision support behind clinicians in Kenya across 40,000 visits, diagnostic errors down 16 percent; a geospatial database for Ghanaian tax collectors, collections up 103 percent. All three augmented a named person.

What it means here. AI is a strong-link technology: it raises the steps that were already near the frontier and can lower those that were not. The World Bank’s 2026 report frames AI’s payoff as “complements”, power, connectivity, education, institutions, local data, which is this page’s chain in the Bank’s words.

12Your turnScore a chain you know, or take one of three projects

This is where the finding starts. Chains named and scored by the people who run them, by the hundred, would turn this page’s conjecture into a map.

Pick a chain you run or know well. Name its steps in order, and score how well each one works. Then, for the weakest, answer the three questions: how much it holds back, who owns it, and whether the owner pays when the promise breaks; and one more, whether a decision could fix it. Start from an example or from blank. Nothing is sent until you press send; your draft stays in this browser.

Replaced your chain with the example. Undo

The examples fill in the steps and who owns them. The importer and the local processor also come with scores. They are built alike, eight steps each, credit and getting paid included, so the gap between them comes from the steps only a maker has: storage, power and processing. Those scores are illustrative, not measured. Otherwise the scores are yours.

The steps, in order. For each: how well does it work, from “loses most of what it could deliver” to “loses nothing”?

Send it

Every chain that comes back is a hypothesis to check against the claim above. Scores may be used, without names, in the next version of this work. A name is optional; leave a way to reach you if you want to hear what the chains add up to.

Received. Thank you. Score another chain if you know one.

If you have a laptop

Three projects on this page need no office, no funder and no permission. Each is a trade: what you bring, what you get, who else is at the step.

  1. A payment clock for one public payer. You bring twenty invoices to one public payer, from the suppliers who hold them, each with its approval date and its payment date, and you publish the days between, monthly. You get a series nobody has published, under your name, and a number every supplier to that payer will want. The suppliers get a number they can price. The payer gets measured. Yumi Milling sells nothing to the state today, so the first twenty invoices to a public payer must come from someone who does.
  2. Why two firms in Choma closed. You bring a visit to the small mill and the sunflower-oil press that closed in the last two years, and the three questions. You get two case records nobody has, and the first entries in a series on what kills firms between their first year and their fourth. The owners get asked, which nobody has done.
  3. Chitonga and Lozi data. You bring the public university speech corpus, 22 hours of Chitonga and 6 of Lozi, and compute. You get a model that reads Chitonga at a stated accuracy, which does not exist, and the entry the standard text benchmark lacks. Every record keeper in Southern and Western Province could get a reader.

The definition, to copy. An invoice counts as approved on the day the payer’s office confirms in writing that the goods or service were received and the amount is due; the payer’s own stamp, goods-received note or system status is the record. It counts as paid on the day the money is in the supplier’s account, not the day a cheque or instruction is issued. Approval day is day zero and the next calendar day is day one; a payment on the approval day is zero days. The month’s figures are the median and the longest, the count of invoices behind them, and nothing that identifies a supplier.

Write to chris@zamai.pro and you will have an answer within 48 hours.

13Sources and changesEverything this page stands on

A verified evidence base of about 170 entries sits behind this page; what is cited is listed here. This page as a PDF. Corrections to chris@zamai.pro.

Cite as: Lindinger, C. (2026). Weak links: the Zambian economy, step by step. Working draft v6.1, 4 October 2026. zamai.pro/weak-links

Sources, alphabetical. Numbered marks in the text link here.
  1. Acemoglu, D. (2025). The simple macroeconomics of AI. Economic Policy 40(121).
  2. Agricultural Credits and Warehouse Receipts Act, No. 7 of 2026: assented to 31 March 2026, published 8 April 2026; section 1, it comes into operation on a date the Minister appoints by statutory instrument; no such instrument had been published when this page was last checked, so the Agricultural Credits Act of 2010 remains in force.
  3. Acemoglu, D. and Restrepo, P. (2018). The race between man and machine. American Economic Review 108(6); and (2019) Automation and new tasks. Journal of Economic Perspectives 33(2).
  4. Aghion, P., Jones, B. F. and Jones, C. I. (2019). Artificial intelligence and economic growth. In Agrawal, Gans and Goldfarb (eds), The Economics of Artificial Intelligence. University of Chicago Press.
  5. Bank of Zambia (2025). Annual Report 2024: government securities 22.3 percent of bank assets (table 9.6); sector net profit K8.9 billion, return on equity 29.7 percent.
  6. Bank of Zambia (2026). Annual Report 2025, tables 9.4 and 9.6; and (2025) National Payment Systems Annual Report 2024.
  7. Bank of Zambia (2026). Credit Market Monitoring data, Q1 2026 (all supervised lenders, 2016 to 2026).
  8. Bank of Zambia (2026). Monetary Policy Report, May 2026: average lending rate 28.6 percent, savings rate 7.5 percent, March 2026.
  9. Barrot, J.-N. and Nanda, R. (2020). The employment effects of faster payment: evidence from the federal Quickpay reform. Journal of Finance 75(6).
  10. Baumol, W. J. (1967). Macroeconomics of unbalanced growth. American Economic Review 57(3).
  11. Björkegren, D. and Grissen, D. (2020). Behavior revealed in mobile phone usage predicts credit repayment. World Bank Economic Review 34(3).
  12. Bosio, E., Djankov, S., Glaeser, E. and Shleifer, A. (2022). Public procurement in law and practice. American Economic Review 112(4).
  13. Brynjolfsson, E., Rock, D. and Syverson, C. (2021). The productivity J-curve. American Economic Journal: Macroeconomics 13(1).
  14. Casaburi, L. and Macchiavello, R. (2019). Demand and supply of infrequent payments as a commitment device. American Economic Review 109(2).
  15. Charpe, M. (2022). Tradable jobs and local labour market in sub-Saharan Africa. ILO; MPRA Paper 114859.
  16. Constitution of Zambia (Amendment) Act No. 2 of 2016: Article 189 (a pension benefit “shall be paid promptly and regularly”), Article 208 (public debt is a charge on the Consolidated Fund), Article 209 (a Compensation Fund for settling claims against the State).
  17. Constitutional Court of Zambia (2022). Shah and Mahabeer v The Attorney General, 2021/CCZ/0017, judgment of 25 January 2022: costs under a 2009 consent order unpaid; the State pleaded budgetary constraints and unpaid judgment debts going back to 1999; petition dismissed, with the court urging adequate funding of the Compensation Fund (paras 54 and 56).
  18. Conti, M., Elia, L., Ferrara, A. R. and Ferraresi, M. (2021). Governments’ late payments and firms’ survival: evidence from the European Union. Journal of Law and Economics 64(3). After the EU late-payment rules were tightened, firm exit rates fell more in sectors that sell more of their output to government.
  19. David, P. A. (1990). The dynamo and the computer. American Economic Review 80(2).
  20. De Simone, M. et al. (2025). From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria. World Bank.
  21. Diao, X., Ellis, M., McMillan, M. and Rodrik, D. (2025). Africa’s manufacturing puzzle. World Bank Economic Review 39(2).
  22. Dzansi, J., Jensen, A., Lagakos, D. and Telli, H. (2022). Technology and tax capacity: evidence from local governments in Ghana. NBER Working Paper 29923.
  23. Employment Code Act No. 3 of 2019: s.2 (application; excludes only the defence force, police, correctional and intelligence services), s.52 (valid reason, hearing, burden of proof on the employer), s.55 (redundancy: at least 30 days’ notice to the staff, 60 days to the labour commissioner, at least two months’ pay per year served).
  24. European Commission (2015). Ex-post evaluation of the Late Payment Directive.
  25. Evans, P. (1995). Embedded Autonomy: States and Industrial Transformation. Princeton University Press.
  26. Fafchamps, M. (2004). Market Institutions in Sub-Saharan Africa: Theory and Evidence. MIT Press.
  27. FinDev Lab (2020). The road to Zambia’s 2020 sovereign debt default: the missed October 2020 coupon and the default on 13 November 2020.
  28. Funyina, T. (2020). Determinants of Bank Credit to the Private Sector in Zambia. Bank of Zambia Working Paper.
  29. Global Entrepreneurship Monitor (2014). Zambia 2013 results, as presented in Chigunta, F., Entrepreneurship: challenges and opportunities. Corporate Face, February 2014.
  30. Goldratt, E. M. (1984). The Goal. North River Press.
  31. Hallward-Driemeier, M. and Pritchett, L. (2015). How business is done in the developing world: deals versus rules. Journal of Economic Perspectives 29(3).
  32. Hirschman, A. O. (1958). The Strategy of Economic Development. Yale University Press.
  33. Hsieh, C.-T. and Klenow, P. J. (2009). Misallocation and manufacturing TFP in China and India. Quarterly Journal of Economics 124(4).
  34. Humlum, A. and Vestergaard, E. (2025). Still waters, rapid currents: early labor market transformation under generative AI (first version: Large language models, small labor market effects). NBER Working Paper 33777.
  35. IFPRI (2023). Zambia’s Agrifood System: Structure and Drivers of Transformation. Agrifood System Diagnostics Country Brief 21.
  36. International Monetary Fund (2024). Zambia: Third Review under the Extended Credit Facility, Country Report 24/190, debt sustainability analysis p. 113: the 2023 cash primary balance improved “including on the back of accumulation of expenditure arrears”.
  37. International Monetary Fund (2025). Zambia: Fifth Review and 2025 Article IV, Country Report 25/225, p. 79: the 2025 revised budget cut goods and services by 1.1 percent of GDP to accommodate resumed debt service.
  38. International Monetary Fund (2026). Zambia: Sixth Review under the Extended Credit Facility, Country Report 26/21: Table 1, performance criteria and indicative targets at December 2024, March, June and September 2025 (continuous criterion 4, ceiling on new external debt arrears, met at all four; indicative target 11a, floor on the net clearance of expenditure arrears, met, met, not met, met); Technical Memorandum para 20 (the criterion “does not cover arrears on debt subject to renegotiation or restructuring”); Annex II para 2 (purchase prices “typically set just below prevailing market price levels, but have been set above market prices in the last three elections cycles”; “when budget allocations are insufficient, the cost is shifted to farmers through arrears accumulation”); non-resident holdings of domestic securities K61.2 billion, September 2025 (table 5); Box 2, fuel arrears (interest and penalties above the principal by end-2023; US$828 million settled in 2024 to 2025, financed by US$420 million of loans from domestic banks at “interest rates below 13 ¼ percent, notably lower than the penalty rates previously incurred”, and US$74 million of revenues); Memorandum of Economic and Financial Policies, para 7 (yields at end-October 2025: bills 13.9 percent, bonds 17.7), para 14 (the end-June 2025 target on expenditure arrears “closely missed”, K2.9 billion against K3.2 billion; end-September met, K11.9 billion against K4.7 billion, “as we advanced with the fuel arrears clearance operation”), para 18 (the grain agency bought 1.668 million tonnes for about K11.3 billion against 543,000 tonnes and K1.3 billion envisaged; K5 billion of local bank financing backed by about 700,000 tonnes of maize; the government “will only Fund FRA in line with Budget commitments”, future operations “fully financed from the Agency’s own resources, with procurement conducted at market-based prices”).
  39. Johnson, S., McMillan, J. and Woodruff, C. (2002). Courts and relational contracts. Journal of Law, Economics, and Organization 18(1).
  40. Johnston, B. F. and Mellor, J. W. (1961). The role of agriculture in economic development. American Economic Review 51(4).
  41. Jones, C. I. (2011). Intermediate goods and weak links in the theory of economic development. American Economic Journal: Macroeconomics 3(2).
  42. Jones, C. I. (2026). A.I. and our economic future. NBER Working Paper 34779.
  43. Khan, M. H. (2010). Political Settlements and the Governance of Growth-Enhancing Institutions. SOAS.
  44. Korinek, A. and Stiglitz, J. E. (2021). Artificial intelligence, globalization, and strategies for economic development. NBER Working Paper 28453.
  45. Korom, R. et al. (2025). AI-based clinical decision support for primary care: a real-world study (Penda Health, Kenya). arXiv:2507.16947.
  46. Kremer, M. (1993). The O-ring theory of economic development. Quarterly Journal of Economics 108(3).
  47. Lusaka Times (2026). FRA announces K347 as maize buying price per 50 kg bag, 25 July 2026: the agency’s board chair, payments by bank account or mobile money, “targeting to process payments within three days of grain delivery”.
  48. Lusaka Times (2026). FRA to purchase 500,000 tonnes of maize for the 2026/2027 season, 6 May 2026.
  49. Lusaka Times (2026). Pay farmers on the spot, the President tells the Food Reserve Agency, 13 July 2026; and ZNBC and Times of Zambia (2026): over a million tonnes bought and over K6 billion paid to farmers by 28 August 2026.
  50. Lusaka Times (2026). Zambia’s maize reserves hit record 3.1 million tonnes, 18 September 2026: 1.7 million tonnes bought since May, 1.4 million carried over.
  51. Lusaka Times (2026). Zambia opens talks with IMF on successor to Extended Credit Facility, 30 September 2026: a Fund mission led by Edward Gemayel began talks with the finance minister in Lusaka; also News Diggers, Govt commences talks with IMF on successor programme, 1 October 2026.
  52. Macchiavello, R. and Morjaria, A. (2015). The value of relationships: evidence from a supply shock to Kenyan rose exports. American Economic Review 105(9).
  53. Makanday (2025). FRA payment delays push farmers into crisis as planting season opens, 10 December 2025: July deliveries unpaid; 1.7 million tonnes bought for K11.3 billion against a K3.69 billion budget.
  54. McMillan, J. and Woodruff, C. (1999). Interfirm relationships and informal credit in Vietnam. Quarterly Journal of Economics 114(4).
  55. Mellor, J. W. (2017). Agricultural Development and Economic Transformation. Palgrave.
  56. Ministry of Agriculture (2025). Comprehensive Agricultural Transformation Support Programme, main document, 21 October 2025. Investment Area 3.3, p. 72: the agency’s mandate to be reviewed “with a view to reverting to its original mandate confined to maintenance of strategic grain reserves and buyer of last resort”; Investment Area 6.1, p. 96.
  57. Ministry of Finance and National Planning (2022). Eighth National Development Plan 2022 to 2026.
  58. Ministry of Finance and National Planning (2023). Questions and answers on the agreement with official creditors: Treasury bills and bonds “will not be restructured. This is essential to preserve financial stability and ensure a well-functioning domestic debt market.”
  59. Ministry of Finance and National Planning (2024). Revised Dismantling of Domestic Arrears Strategy 2024 to 2029, August 2024: Table 1.0 (fourteen creditor classes: stock at end-2021, payments January 2022 to March 2024, adjustments, stock at March 2024, new arrears; subtotal for the twelve domestic classes K59.45 billion owed, K17.66 billion paid, K13.94 billion new; power producers K48.48 billion owed, K17.30 billion paid, K18.98 billion adjusted down; external contractors K12.20 billion new; total K88.65 billion at March 2024); chapter two (electricity arrears “only recognized by the Treasury as contingent liabilities”, paid from the utility’s revenues; fuel adjustment of K13.31 billion “on account of late payment interest charges”); chapter three, minimum allocation of K6.8 billion a year, debt service on the fuel refinancing excluded; chapter four, the four prioritisation principles quoted in section 03, and Table 2.0, the annual payment plan sorting each class into categories 1 to 5 with its clearance years and the rationale for each.
  60. Ministry of Finance and National Planning (2024). Settlement of the Eurobond exchange, 12 June 2024.
  61. Ministry of Finance and National Planning (2025). 2026 Budget Address: para 22 (outstanding payments to suppliers of goods and services K84.1 billion at August 2025); para 23 (cost of borrowing from banks 29.0 percent); para 48 (amend the Food Reserve Act, 2020); para 150 (total spending K253.1 billion, 27.4 percent of GDP); paras 152 and 153 (K52.0 billion domestic and K21.7 billion external debt payments; the summary table labels the domestic line interest); para 155 (K810.2 million to the Compensation Fund for court cases won against Government; K4.7 billion to dismantle arrears to suppliers of goods and services); para 156 (K2.1 billion for maintaining strategic food reserves); para 168 (K26.2 billion for health, 10.3 percent of the budget).
  62. Moretti, E. (2010). Local multipliers. American Economic Review: Papers and Proceedings 100(2).
  63. National Assembly of Zambia (2025). Ministerial statement by the Minister of Finance and National Planning on the performance of the economy, 18 March 2025: verified domestic arrears K77.5 billion at end-September 2024.
  64. National Pension Scheme Authority. Investments: portfolio K87.4 billion at end-2024, 45.9 percent in government securities.
  65. News Diggers (2025). ZAMMSA audit reveals drug distribution irregularities, lack of inspection, 22 July 2025.
  66. News Diggers (2026). Chilengi fires ZAMMSA staff in national interest, 3 October 2026; Mwebantu, Government resets ZAMMSA, separates all staff, October 2026.
  67. News Diggers (2026). FRA closes crop marketing season after buying over 2m tonnes of maize, 30 September 2026.
  68. News Diggers (2026). Government launches three-month tax amnesty, 18 September 2026: outstanding tax debt K71.3 billion at 31 December 2025, 82.2 percent owed by private businesses.
  69. News Diggers (2026). NHIMA owes health facilities around K600m, DG. 20 February 2026.
  70. News Diggers (2026). VAT refunds paid and outstanding, 20 September 2026: K13.7 billion approved and unpaid at 31 August 2026; and Zambia Monitor (2024), K17.8 billion owed at September 2024, 87 percent to mining.
  71. News Diggers (2026). We’ve enough storage facilities for 2026 maize harvest, 8 May 2026: 375 facilities, combined capacity 1,834,210 tonnes as of April 2026.
  72. NLLB Team (2024). Scaling neural machine translation to 200 languages. Nature 630. Its FLORES-200 benchmark includes Bemba (bem_Latn) and Nyanja (nya_Latn), and neither Tonga nor Lozi.
  73. North, D. C. and Weingast, B. R. (1989). Constitutions and commitment: the evolution of institutions governing public choice in seventeenth-century England. Journal of Economic History 49(4).
  74. Office of the Auditor General (2025). Report on the accounts of parastatal bodies for 2023: the Citizens Economic Empowerment Commission disbursed K393.8 million to 1,494 borrowers; as at 31 December 2024 no repayments had been made. The report does not say whether the loans were within a grace period.
  75. Otis, N., Clarke, R., Delecourt, S., Holtz, D. and Koning, R. (2026). The uneven impact of generative AI on entrepreneurial performance: evidence from a field experiment in Kenya. Management Science.
  76. Porter, M. E. (1985). Competitive Advantage. Free Press; and (1990) The Competitive Advantage of Nations. Free Press.
  77. Public Finance Management Act, No. 1 of 2018, Republic of Zambia, section 30: releases of funds at the discretion of the Secretary to the Treasury, statutory expenditure first.
  78. Ricardo, D. (1817). On the Principles of Political Economy and Taxation. John Murray; third edition, 1821.
  79. Sikasote, C., Siaminwe, K., Mwape, S., Zulu, B. and others (2023). Zambezi Voice: a multilingual speech corpus for Zambian languages. Interspeech 2023: labelled speech for Bemba (28 hours), Nyanja (25), Tonga (22) and Lozi (6).
  80. State Proceedings Act, Chapter 71 of the Laws of Zambia, section 21: orders against the State are satisfied on a certificate; “no execution or attachment or process in the nature thereof” may issue to enforce payment by the State.
  81. U.S. Embassy in Zambia (2025). United States to cut $50 million in medications and medical supplies support, 8 May 2025; and NPR, US suspends health aid to Zambia, 17 May 2025.
  82. University of Zambia Lecturers and Researchers’ Union (2024). Statement on the delayed release of monthly grants to the University of Zambia, 20 December 2024: October and November 2024 salaries delayed by the late release of the monthly grant.
  83. World Bank (2020). Doing Business 2020: Zambia economy profile, enforcing contracts: 611 days, 38.7 percent of the claim, Lusaka Magistrates Court (data to May 2019). The series was discontinued in 2021.
  84. World Bank (2020). Enterprise Surveys: Zambia 2019 Country Profile. 601 firms, interviewed June 2019 to March 2020.
  85. World Bank (2024). Zambia Country Economic Memorandum: Unlocking Productivity and Economic Transformation for Better Jobs.
  86. World Bank (2026). Enterprise Surveys: Zambia 2025 Country Profile. 608 registered firms with five or more workers, interviewed October 2025 to May 2026. Top obstacles chart, all firms, as printed: access to finance 29, electricity 24, practices of the informal sector 12, customs and trade regulations 9, tax rates 9; appendix table: 89.6 percent of firms with electrical outages, 21.6 a month; 0.8 percent of investment financed by banks.
  87. World Bank (2026). Powering Zambia’s Transformation: From Electricity Crisis to Catalyst for Growth and Jobs.
  88. World Bank (2026). World Development Report 2026: The Promise of Artificial Intelligence.
  89. World Bank, World Development Indicators. Firms with a bank loan/line of credit (% of firms), IC.FRM.BNKL.ZS, Zambia: 11.8 (2013), 10.1 (2019), 3.1 (2025).
  90. World Bank. Domestic credit to private sector by banks (percent of GDP), Zambia.
  91. Zambia Monitor (2024). Special audit claims mismanagement, financial irregularities at Zambia’s road development agency, 14 June 2024: special audit for 2017 to 2022; K9.89 billion owed to contractors and consultants at end-2022; K1.38 billion of interest accrued by 30 September 2023; fourteen contracts varied from K4.53 billion to K6.65 billion.
  92. Zambia Monitor (2025). Food agency borrows K5 billion to settle K7 billion arrears owed farmers, 5 November 2025: the minister to Parliament, a structured loan facility with commercial banks.
  93. Zambia Statistics Agency (2026). Population and Demographic Projections 2023 to 2047: National Report. Medium projection: 22,314,128 (2025), 23,003,214 (2026), 23,707,598 (2027).
  94. Zambia Statistics Agency and Ministry of Labour and Social Security (2025). 2024 Labour Force Survey Report: working-age population 11,995,355; employed 3,972,883; formal sector 1,179,529, informal sector 2,585,812, household sector 207,543; “25.8 percent were formally employed while 74.2 percent were informally employed” (summary; chapter 5 gives an informal employment rate of 71.2 percent); outside the labour force 7,434,595.
  95. Zambian Observer (2025). Finance minister explains the delay in August 2025 civil-service salaries, 3 September 2025: the minister said salaries “have been paid consistently and on time since they took over office, except for last month’s one-off anomaly”, which he attributed to a technical glitch.
  96. Zanaco (2025). Integrated Report 2024, note 4, interest income arising from government securities K3,184,016 thousand and from loans and advances K2,554,273 thousand (2023: K2,247,343 and K2,367,593), Group.
Changes. Section numbers in each entry refer to the version it describes.
  • v6.1, 4 October 2026. The case for the opportunity, after a discussion among four readers (an editor, a theory-of-change reader, a narrative editor and a young Zambian reader) and the author’s decisions. The headline gains its second sentence; the first screen and the abstract carry the opportunity in the page’s own arithmetic. A new section 08, What this makes possible, takes the stakes and “What software moves” from the old 07 and 08 and sets out three cases, the payment clock, the warehouse receipt and models that read Chitonga and Lozi, each with what it moves, what still binds, the first signal within a year and whose hands it needs, with a disconfirming line; the tests become section 09, with a fourth door for anyone with a laptop and a definition of approved and paid to copy. Public bodies are now named in the text by the acronyms in use (FRA, NHIMA, ZESCO, ZAMMSA, ZRA, NAPSA, Bank of Zambia), the function given once; persons stay unnamed. Cuts, so that this version is shorter than v6: the correlation paragraphs of section 03 compressed to one, with the arithmetic moved to a theory card; the IMF paragraph and the second grain paragraph shortened; the Employment Code and award sentences removed from the medicines case; the arrears reconciliation moved to the numbers table; the compounding sentence, the Otis line and two mill lines on banks cut. Six figures added to the page and the PDF: the Treasury’s table as bars, two seasons on one clock, the arrears against the budget, thirteen to one, eighteen years, three steps against ten. Sections renumbered: 01 to 09 the argument, 10 numbers, 11 theory, 12 the tool, 13 sources. Seams closed after a flow read.
  • v6, 4 October 2026. Rewritten as one argument around the three questions, after adversarial reviews by three readers: a development economist, a policy reader and a structural editor. The rule now stands on the first screen, with its form under a cash shortage: the state pays in the order of what breaking each promise costs it. One list of what makes a promise bind (exit, a court, visibility, self-execution). The Treasury’s payment table is shown with all fourteen of its creditor classes (its three utility rows merged), the kwacha paid, a cost column coded on stated tests, and the Treasury’s own 2024 sorting of each class into five numbered categories with a clearance horizon; the result is reported as it came out: the size of the bill fits the table better than this page’s coding, and the Treasury’s own order fits best, though it was written after the payments. A new section sets the same creditor against a different cost: the farmers in two seasons, salaries and allowances, the IMF’s criterion and its target, the medicines supply agency, the grid in the drought, the two kinds of bond. Who pays is rebuilt around the Treasury’s saving, the budget, the Compensation Fund and the law that bars execution against the State. The literature on commitment and enforcement is added. Corrections: Barrot and Nanda’s crowding out stated, and the 75,000 jobs figure dropped because it could not be confirmed; Bosio and others’ result stated as published; compounding stated honestly and “fix the weakest first” made conditional; the motive lines in the old “who gains” section removed; the 2013 survey dated where it appears; the deposit figure’s small-firm bars aligned with the numbers table. The lede and section 00 cut. Sections renumbered: 01 to 08 the argument, 09 the numbers, 10 the theory, 11 the tool, now at the end as a proof of concept, with two example chains added (an importer and a local processor, with illustrative scores), 12 sources and changes. Corrections after a fourth adversarial review, 3 October, evening: the power producers and the contractors on cancelled loans restored to the Treasury table and the correlations recomputed; new arrears stated like for like (K13.9 billion on the twelve domestic classes, not the K26.1 billion grand total); the Treasury’s principles quoted in its words; the Fund’s criterion and target stated as the report defines them, with the four test dates it reports; the Fund’s published sentence on election-cycle prices and the agency’s three-day payment promise added beside the author’s observation; the salary record attributed to the minister; the K84.1 billion dated as the speech states it; the interest saving confined to the classes without penalty clauses; 13.4 to 1 and the 30 percent formal-sector share corrected; two citations removed that did not say what the text said; the successor-programme talks sourced; the importer and processor example chains built with the same steps.
  • v5.4, 3 October 2026. Corrections after an adversarial review by three readers: the grain programme proposes a review of the agency’s mandate rather than setting it; storage is the listed facilities, not the whole country; the K5 billion was the agency’s bank facility; farmers were paid by 28 August, around the vote; the IMF programme ended in January 2026; K84.1bn is all verified domestic arrears; the landlocked point corrected; the medicines passage and the Employment Code stated accurately.
  • v5.3 correction, 3 October 2026: Bemba and Nyanja are in the standard AI tests; Tonga and Lozi are not (the earlier line said none of the four were). Logged here in v5.3; the text was corrected in v5.4.
  • v5.3, 3 October 2026. The grain agency’s 2026 season against its mandate, budget and storage, and who paid in 2025 (section 03); the medicines supply agency, the foreign aid cut and the separation of all staff (section 09).
  • v5.2, 3 October 2026. The government’s own programme on the grain agency’s mandate added beside its 2026 purchases (section 03; an earlier version of this entry said section 07).
  • v5.1, 3 October 2026. The World Bank’s 2025 Enterprise Survey replaces the 2019 one (608 firms, October 2025 to May 2026); bank lending to firms added: 3.1 percent of firms with a loan, down from 10.1 percent in 2019.
  • v5, 2 October 2026. Rebuilt around one rule, a promise binds in proportion to what it costs to break it: the state’s record by creditor, the Treasury’s own payment order, who gains, the radius; four open questions; eleven sources added.
  • v4, 2 October 2026. Rewritten as one argument in nine claims, from the trader to the end of the chain; observation only, no prescriptions; the software argument made explicit; appendix unchanged. Section 00, The space, was added during v4 without an entry of its own.
  • v3, 30 September 2026. Rebuilt after review: shorter, one section on the idea, bank figures updated to end-2025, agencies described by function, the tool in two passes, sources numbered.
  • v2, 29 September 2026. Competitiveness, the informal sector, capital, the state, jobs and AI added; theory section with calculators.
  • v1, 28 September 2026. The idea, the method, six chains, the tool.

The framework, the coding and the judgements are the author’s. Drafted with the help of an AI system for research and editing.