Resources

The Economics of Transitions

A working glossary of the economic ideas behind how technologies actually land, each tied to a case we have written about.

Illustrated title card: an industrial landscape on the left with a wind turbine, factory and solar array, a bridge arching across with money flowing over it, a small city on the right with houses, shops and residents. Underneath the bridge, people on the ground use an EV, a bicycle and a laptop. A funding-bar sits along the bottom edge.

Transitions are usually discussed in the language of technology: what is newer, cleaner, cheaper, more advanced. But whether a technology actually reaches the people it was built for is decided far more often by economics than by engineering. Who bears a cost, who captures a value, how a cash flow is shaped, what a market will and will not price, which risk is real and which is merely perceived, these are the questions that decide a transition, and they are economic questions.

This page is a plain-language map of those ideas. Each concept is defined in a sentence or two, and then tied to a published piece where we applied it to a specific, real case, so the abstraction stays anchored to something that actually happened. It is meant to be read either straight through, as a primer on the economics of transitions, or dipped into, as a glossary.

Read this page alongside the human side of technology, which reads the same terrain from the behaviour-and-perception side; the technology & innovation dynamics companion, which takes it from the management-of-technology side; and the transitions primer, which sets out the socio-technical frame in full. A handful of foundational ideas, path dependence, network effects, increasing returns, appropriability, deliberately appear on more than one page, because they genuinely belong to more than one literature; each page treats them through its own lens and points to the others.


1. How transitions unfold

Path dependence and lock-in

Once a system is established, the cost of switching away from it rises over time, so an inferior option can persist simply because it arrived first and everything else organised around it. The formal result is due to Arthur (1989), who showed that under increasing returns an economy can lock in to a technological path that is neither efficient, predictable, nor easily shifted by tax or subsidy, and to David (1985), whose study of the QWERTY keyboard made path dependence concrete. Lock-in is the central reason good technologies fail: the barrier is rarely the artefact, it is the system it must displace. We set out the full mechanism in the transitions primer, and its two-directional form, where the same barrier that keeps a country out of a market is also what makes entering worthwhile, in The Lock-In Runs Both Ways. Read this alongside the strategic reading of the same result on the technology & innovation dynamics page, where an early lead in a path-dependent technology is worth fighting for out of proportion to its immediate value.

Diagram: from a small early choice, a fat coral 'installed path' arrow runs across the page, accreting labelled complements above it, infrastructure, trained workers, suppliers, standards, customers. Below, a blue path for a 'better technology, later arrival' runs beneath and hits a dark switching-costs wall before it can rejoin. Caption beneath: history changes the cost of choosing differently.

The niche, the regime, and the landscape

Change arrives from protected niches, is resisted by an entrenched regime, and is pushed or slowed by a wider landscape of prices, politics, and crises. This multi-level view is the backbone of transition studies, and the frame beneath most of the concepts below.

Line-art timeline reading left to right across four blocks: a small niche greenhouse with a seedling on the left, a coral trough labelled transition trough, a yellow rising staircase labelled acceleration, and a green plateau labelled new regime with wind turbines, solar panels and buildings. Above the trough, a small lightning bolt labelled window with a dashed arrow leading up onto the acceleration steps.

Bypass, Repurpose, Weaken (the BRW framework)

A new technology can get past an incumbent system in one of three ways: by building a parallel route around it, by redirecting part of the existing system to a new use, or by eroding the foundations that hold the incumbent in place. Which mechanism fits depends on the barrier. This is the Lab's signature typology, set out in The BRW Framework.

The four ways a transition lands

Reading state capacity against niche strength sorts every real transition into one of four patterns: directed, coordinated, stalled, or bounded leapfrogging. The diagnostic, and how the Lab reads its own cases against it, is in Four Ways a Transition Lands.

Two-by-two chart: horizontal axis 'infrastructure investment', vertical axis 'technology investment'. A small coral dot in the bottom-left quadrant labelled 'low-investment trap'. A larger green dot in the top-right quadrant labelled 'coordinated transition'. A dashed arrow leads from the trap corner to the coordinated one. Caption context: the same country can sit in either corner, and the choice between them is coordination as much as capital.

The transition trough (the J-curve of change)

A practice can be profitable over ten years and unaffordable in year two. The transition itself is the most vulnerable moment, because costs arrive before benefits, and the dip in between is where most attempts fail. We trace this through European farms in The Trough Before the Dividend. The behavioural cousin, why loss aversion makes the trough feel deeper than the numbers suggest, is on the human side of technology page.

Chart: net value on the vertical axis against time on the horizontal axis. A single curve starts on the zero baseline, dips into a coral trough labelled 'upfront cost', then rises through zero and into a rising blue segment labelled 'transition dividend' at the far right. Caption context: the same investment is a cost in year two and a dividend in year eight.

Stacking, not switching

Transitions rarely proceed by clean replacement. More often a new source is added alongside the old one, and the incumbent is retained as backup, so the picture is one of accumulation rather than substitution. We read this in African solar in Stacking, Not Switching.

Chart: adoption on the vertical axis against time on the horizontal, with a smooth S-curve rising through three labelled bands, experimentation, take-off, maturity, separated by dashed vertical lines. Caption context: the shape most stacked adoption traces before it looks like substitution.

Increasing returns to adoption

Some technologies get more valuable the more they are used: each new adopter improves the infrastructure, deepens the supply of skills, and raises the credibility of the option for the next adopter. Formalised by Arthur (1989), this is the engine that lets a niche eventually overtake an incumbent, and the reason the early going is so slow, the returns only compound once a threshold is crossed. The idea has a long lineage, reaching back to Marshall (1890) on the external economies that accrue to a growing industry. The strategic reading of the same mechanism, as the engine that lets a niche cross the chasm, is on the technology & innovation dynamics page.

Chart: unit cost on the vertical axis against time on the horizontal axis. A coral incumbent curve slopes down gently and plateaus. A blue emerging-technology curve starts high, drops steeply, and crosses the incumbent line at a marked point labelled 'cost crossover'. Caption context: increasing returns to adoption drive the crossing, and once it happens the incumbent no longer competes on price.
Chart: unit cost on the vertical axis against cumulative deployment on the horizontal, with a smooth downward-decaying curve. A coral dot at the top-left of the curve is labelled 'early deployment'; a coral dot at the bottom-right is labelled 'scale'. Caption context: the mechanism, every doubling of cumulative deployment takes a slice off the unit cost.

Timing and the window of opportunity

A niche does not break through on its own schedule; it breaks through when a shock, a price spike, a policy shift, a crisis, opens a window in the regime. A technology that is ready when the window opens succeeds, and one that is not may wait years for the next. The transition turns on readiness meeting timing, not merit alone.

Chart: monthly cost on the vertical axis against time on the horizontal axis. A blue cost curve declines steadily, crossing a coral dashed 'affordability threshold' line at a marked dot. A green arrow reads 'adoption begins' just after the crossing. Caption context: the window opens the moment cost drops below what people can pay, not when the technology is invented.

2. Market structure and lock-in

Make-or-buy (vertical integration)

A firm must decide which parts of its value chain to own and which to source from others. The choice turns on transaction costs: when depending on an outside party is too risky or too variable, a firm integrates. This is the founding question of the theory of the firm, posed by Coase (1937) and developed into transaction-cost economics by Williamson (1985), who tied the make-or-buy decision to uncertainty, frequency, and asset specificity. We apply it to battery-swap network architecture in Own the Battery, Rent the Shopfront, and to make-or-buy under uncertainty in The Anchor Tenant. The capability-strategy reading of the same decision, why outsourcing can hollow out the ability to build the next generation, is on the technology & innovation dynamics page.

The anchor tenant and demand aggregation

Whoever owns the demand can finance the infrastructure. Platforms solve the chicken-and-egg problem of new infrastructure by controlling the customer relationship, which works, and quietly concentrates several dependencies on one counterparty. Set out in The Anchor Tenant: How Platforms Became the Utility Nobody Elected.

Diagram: a large cobalt block labelled 'owns the demand' sits at the centre; a blue arrow labelled 'finances the infrastructure' runs left from it into a yellow column of infrastructure icons, charging station, warehouse, transmission pylon, with a truck, factory and shop feeding in from the far left, together labelled 'market becomes possible'. From the base of the demand block, a fan of six small shops (customers) drops down. A coral arrow labelled 'single-counterparty dependence' loops from the customers back into the demand block. Caption beneath: whoever aggregates demand can make the asset bankable.

Network effects (network externalities)

A product whose value to each user rises with the number of other users, a phone, a payment rail, a charging standard, tends toward a single winner, because adoption is self-reinforcing. Katz and Shapiro (1985) formalised network externalities and showed why compatibility and sponsorship decide these markets. Network effects are the flip side of lock-in: the same mechanism that helps a niche reach critical mass then makes the resulting incumbent very hard to dislodge. The competitive-strategy reading, of standards battles won on timing and compatibility, is on the technology & innovation dynamics page.

Line-art diagram: three supplier factories on the left feed into a central platform building; the platform sends arrows to a column of customer figures on the right. A standard document sits above the platform, feeding into it. A green arc labelled 'more users, more value' curves from the customers back to the platform. A dashed orange line at the bottom labelled 'bypass' runs directly from suppliers to customers, skipping the platform.
Chart: value on the vertical axis against users on the horizontal, with a curve rising slowly then steeply upward. A coral dot midway is marked 'tipping point'; the upper end is labelled 'more useful'. Caption context: value grows faster than linearly in the number of users, which is why the first few adopters look pointless and the last few look inevitable.

Customer bypass (grid defection)

When a large customer can leave a shared system and supply itself, the economics of the system for everyone left behind change sharply. Whether self-supply strengthens or hollows out the grid is decided in tariff design, which we examine in The Customers Who Can Leave.

Two panels side by side. Left panel: factory and row of homes hang off a transmission line under a long single cobalt bar 'shared network costs'. A coral dashed 'customer bypass' arrow lifts one customer off the grid down to a self-supply set-up of factory, solar and battery, labelled 'self-supply may be rational individually'. Right panel: the same grid without the departed customer, with the cobalt bar broken into thicker segments over the remaining homes labelled 'cost shifted to those who remain', with a tariff-pressure gauge climbing to the side. Caption beneath: leaving the shared system changes its economics for everyone else.

Behind-the-border costs

The friction that stops firms trading and depending on each other often sits inside a country, not at its border: unreliable power, warehousing, paperwork, and above all variance. It is variance, not average price, that prevents firms relying on one another. We show this for African trade in Behind the Border.


3. Finance and capital structure

Matching the instrument to the cash flow

The right kind of money depends on the shape of the thing being financed. Equity suits uncertain, high-upside ventures; working capital suits predictable, short-cycle needs. Using the wrong instrument distorts what a founder optimises for. We work through this for a Nigerian agritech in Equity Is the Wrong Money for a Warehouse, and the mismatch between infrastructure economics and a ten-year venture fund in One Month Is Not a Trend.

Three puzzle pieces stacked vertically. Top, coral: working capital, illustrated by a grain sack and coin in a loop, labelled 'short cycle, predictable return'. Middle, blue: long-term debt, illustrated by a power plant and transmission line, labelled 'long life, steady cash flow'. Bottom, forest: equity, illustrated by branching dashed arrows, labelled 'uncertain outcome, high upside'.

Collateral and securitisation

An asset class is created when a stream of repayments can be made into collateral. Off-grid solar became bankable because a missed payment could be enforced by switching the light off remotely; assets without an equivalent enforcement mechanism, like water, cannot copy the model. Explained in What the Bond Is Actually Secured On.

Two panels side by side. Left panel 'repayment can be enforced': a house with rooftop solar, a payment agreement, a remote on/off switch, three receipts, and a securitised bond. Footer notes: enforceable cash flow, securitisable. Right panel 'repayment cannot be enforced': a water tank with figures collecting water into jerry cans, a payment agreement with an X, a broken chain of receipts, and a dashed grey bond. Footer notes: weak collateral, cannot copy the model. Caption beneath: the asset class is created by what secures the repayment stream.

Asymmetric information and adverse selection

When one side of a deal knows more than the other, the better-informed party can exploit the gap, and in the extreme the good options are driven out and only the bad remain. Akerlof's (1970) "market for lemons" is the founding statement, and it sits underneath much transition finance: a lender who cannot tell a good borrower from a bad one prices for the average, which pushes the good borrower away. Enforcement mechanisms, collateral, and independent verification all exist to close this information gap.

Signalling

When quality cannot be observed directly, the informed party can spend on a costly, hard-to-fake signal, a certification, a guarantee, a track record, to prove it. Spence (1973) formalised signalling, and it explains why credible proof is worth paying for in exactly the markets where asymmetric information bites: the signal is not the quality, but it is the only way the quality becomes visible.

Diagram: two factories on the left, both marked 'quality cannot be seen', with an upper one growing deep roots into a healthy soil bed and a lower one with shallow roots in a poor coral soil bed. Both pass through a central 'costly signal' column carrying a certification, a shield tick and a growth chart. The upper factory's signal, backed by a coin stack labelled 'the signal is costly because quality supports it', reaches a buyer figure labelled 'credible quality'. The lower factory's signal, a lightweight certificate marked 'easy to fake, not believed', is stopped by a red X. A dark cobalt banner beneath reads: a signal makes hidden quality visible without being the quality itself.

First-loss capital and the risk that actually binds

Blended-finance instruments like first-loss capital address credit risk. But if investors are behaving in a way that suggests credit risk is not the binding constraint, the instrument is aimed at the wrong hurdle. We read this in Nigerian capital allocation in The Hurdle Is Not the Risk.

Supply-and-demand chart. A coral demand curve slopes down. A blue supply curve slopes up. A green 'with support' curve sits to the right of supply, showing the shift a de-risking instrument produces. The original equilibrium is marked at the demand-supply crossing; the shifted equilibrium at the demand-with-support crossing is labelled 'lower price' and 'higher adoption'. Caption context: support only helps if the binding constraint is what is being supported.

Bundled credit and reaching the smallholder

When a development bank lends through a commodity trader to reach smallholders, the structure is itself a diagnosis of where the working relationships lie, and revives an old question about bundling credit with an offtake relationship. Examined in Resilience Is Downstream of the Buyer.

Supply-and-demand chart. Coral demand slopes down, blue supply slopes up, green 'with support' curve sits to the right of supply. The original equilibrium is marked at demand-supply and labelled 'lower price'; the shifted equilibrium at demand-with-support is dashed down to 'higher adoption' on the quantity axis. Caption context: bundling operates as its own form of support, shifting effective supply and reaching buyers a standalone loan cannot.

The counterfactual as the product

Some things are hard to sell because what the buyer is really being asked to purchase is a counterfactual, a saving relative to a future that will not happen, which is inherently hard to prove. This is why efficiency projects with fast paybacks still do not get done, as we argue in Nobody Buys a Chiller.

Diagram: a puzzled buyer with a question mark asking 'how is the avoided cost proved?' points to an efficient industrial chiller marked 'pay today'. From the chiller two futures branch. Upper branch, dashed coral, 'future without the project': the chiller with a long full-length coral bar labelled 'energy cost', with a note 'this future will never occur'. Lower branch, cobalt, 'future with the project': the same chiller with a short blue bar 'energy cost' plus a yellow dashed rectangle beside it labelled 'the saving being sold'. Caption beneath: the product is a difference between two futures, only one of which can be observed.

Patient capital and the tenor mismatch

Infrastructure returns arrive over fifteen or twenty years; most funds must return capital in ten. When the tenor of the money is shorter than the life of the asset, good projects go unfunded not because they are bad but because they are the wrong shape for the available capital. The mismatch, not the project, is the problem.

Supply-and-demand chart. Coral demand slopes down, blue short-dated supply slopes up steeply, green 'with support' patient-capital supply sits to the right of the blue line. Two dashed horizontals show the pre-support equilibrium price ('lower price') at the demand-supply crossing and the post-support price at the demand-with-support crossing, plus a lower-x marker labelled 'higher adoption'. Caption context: longer-tenor capital reshapes what is financeable at a given price.

The cost of capital as the real price

For a capital-intensive transition, the interest rate matters more than the technology cost. A solar plant that is cheap to build can still be unaffordable where capital is expensive, so the same project pencils out in one country and fails in another purely on the cost of finance. This is why the price of money, not the price of panels, often decides where a transition happens.

Chart: financing cost on the vertical axis, perceived risk on the horizontal axis, a rising coral line. A blue dot on the lower-left of the line is labelled 'proven market'; a coral dot on the upper-right labelled 'uncertain transition'. Dashed horizontals mark the two financing-cost levels. Caption context: the price of money can decide whether the same project is built or shelved.

4. Value capture and industrial policy

Appropriability and complementary assets

Inventing something valuable and capturing the value from it are two different problems, and the second is often the harder one. The value in a commodity or technology chain is captured by whoever holds the scarce complementary asset, which is rarely the inventor. The full technology-strategy treatment, following Teece (1986), is on the technology & innovation dynamics page; the two entries that follow read the same fact as a value-capture and market-barrier question.

Rising stepped bar chart, left to right: yellow extract with a mine cart, coral process with a refinery, blue qualify with a certified document, forest manufacture with a battery cell. A cobalt arrow labelled 'value captured' rises across the tops. A bracket beneath the last three bars is labelled 'complementary assets'.

The second step (moving up the value chain)

The value in a commodity chain usually sits not in extraction but in the next step: refining, processing, manufacturing. Capturing it is the aim of most resource-based industrial policy, and the constraints are rarely the ones announced. Set out in The Value Is in the Second Step.

Qualification as the real barrier

To move up a value chain, output must be qualified, certified as good enough to enter a buyer's supply chain, and qualification, not technology or capital, is often the true gate. The same mechanism that shuts the door is why the door is worth opening. Drawn out for battery precursor in the DRC in The Lock-In Runs Both Ways, and for export bans in The Ban Is Not the Policy.

Industrial symbiosis is grown, not planned

Networks of firms exchanging each other's by-products deliver real efficiency, but the successful examples accreted over decades and were never designed. Taking the ecosystem as a unit to be built from a site plan misreads how it formed. Set out in Symbiosis Does Not Arrive on a Site Plan.

The mandate as the asset

When demand for a product exists only because a regulation requires it, the regulation is the asset, and its risk profile is political, not commercial. A plant built against an EU quota is a legitimate asset of a particular and unusual kind. Examined in The Mandate Is the Mine.

Two-by-two chart: horizontal axis 'commercial return', vertical axis 'social value'. A coral rectangle in the upper-left quadrant, high social value with negative commercial return, is labelled 'missing market' with a dot inside. The upper-right quadrant, high social value with positive commercial return, is labelled 'investable'. Caption context: a mandate moves a proposition across the y-axis by creating commercial return where none existed.

Supply-chain congestion and the shared queue

Small buyers of transition hardware, solar plants, data centres, factories, often order from the same constrained suppliers, and when lead times double it is the small and un-tracked buyers who wait longest. Set out in Standing in the Same Queue.

Supply-and-demand chart with a kinked supply curve. The blue supply line rises gently to a marked 'capacity limit' then bends sharply vertical. The coral demand line crosses the supply line at the kink. A coral bracket to the right of the kink along the quantity axis is labelled 'unmet demand'. Caption context: at the capacity limit, additional demand does not raise supplied quantity, it just extends the queue.

5. Cost, price, and contracts

The contractual cost stack

A headline price often hides that most of the cost is contractual rather than physical. Kenya can be 93 per cent renewable and still expensive because three of four cost bands are set in contracts, not at any power station. Broken down in Paying for Power You Curtail.

Diagram: a small yellow block labelled 'technology' with a solar panel and pylon on the left, and to its right a long horizontal bar in three coloured segments labelled capital, contracts, risk, bracketed above as 'final price'. Caption beneath: the physical cost is only one part.

Long-term power contracts and the anchor buyer

A very large buyer of power, a smelter historically, a data centre today, negotiates a bargain of a specific shape, and there is sixty years of evidence about how those bargains work out for the host system. The named instrument is the power purchase agreement, or PPA. Drawn out in The Smelter Contract.

Tariff design as the decisive variable

Whether new self-generation strengthens or weakens a shared grid, whether a transition helps or harms the people left on the old system, is frequently decided in the fine detail of the tariff. A recurring theme, central to The Customers Who Can Leave and Paying for Power You Curtail.

The value of firm power

Intermittent generation and firm, dispatchable power are different products with different values. Much of the difficulty in mineral processing and industrialisation comes down to the cost and availability of firm power, addressed in The Value Is in the Second Step.


6. Measurement, information, and verification

A claim is only as good as its verification

Across a large sample of circularity projects, none of the binding bottlenecks was a recycling technology; they were all institutions for verifying a claim. A recycled material is a promise, and promises need machinery to be trusted. Set out in A Recycled Material Is a Promise.

Line-art chain, left to right: a speech bubble containing a leaf and a tick labelled 'claim', arrow to a small sensor with an antenna and a data sheet labelled 'measurement', arrow to a magnifier over a checklist labelled 'independent verification', arrow to a stamped document labelled 'trusted evidence'. Below the verification step, a vertical scale labelled 'cost of verification' running from low to high, and below the whole chain an eye connected by a dashed line to the low end of the scale.

Verification cost and the disappearance of the visit

As remote verification, satellite radar, sensors, gets cheaper, the last budgeted reason for anyone to physically go and look disappears, and something is lost with it. Argued for rice-paddy monitoring in The Cheaper It Gets to Verify, the Less Anyone Visits.

MRV cost as a signal of the deal underneath

The size of a monitoring, reporting, and verification budget tells you something about the transaction it sits on: elaborate verification usually means the benefit and the burden have been separated, and separated benefits need continuous machinery to stay connected. Drawn out in The Distance Between the Work and the Reward.

The average hides the distribution

An accuracy figure is an average; a clinic, a market, a grid experiences a distribution. When the errors fall along the same axis as the exclusion a system was meant to fix, the average is actively misleading. Set out for AI in Who Does It Fail For?, and as a general principle in the data analysis resource.

A framework only finds what it was told to look for

A results framework can only measure the benefits it was designed to measure, so real and valuable outcomes go uncounted simply because nobody specified them in advance. Shown for settlement upgrading in The Benefits Nobody Was Looking For.

The reporting loop

When the party being evaluated is also the party supplying the evaluation, to a funder deciding on renewal, the evidence base tilts optimistic by construction, and more dashboards do not fix it. This is the reasoning behind the Lab's funder service, set out in The Reporting Loop. The behavioural foundation, courtesy bias in the interview itself, is on the human side of technology page.

Reading a number honestly

A percentage without its base is not a finding, and one month is not a trend. Two of the commonest reading errors, drawn from a single month of venture data, in One Month Is Not a Trend.


7. Distribution, incidence, and who is left out

Incidence: who actually bears a cost or gains a benefit

The party a policy names is often not the party that ends up carrying the cost or receiving the gain. Asking where the burden and the benefit actually fall, rather than where they were assigned, is the core of distributional analysis, and it runs through most of the pieces in this section.

Tree diagram: a policy document at the top, arrow down to a single bar labelled 'average result', which fans out into four columns of different heights, each above a small group of figures, labelled left to right: who gains, who gains less, who pays, who is left out.

A warm house is not a cheaper one

A subsidy aimed at vulnerable households can deliver comfort rather than savings, which may be worth having but is not what the fund promised. The distinction matters because it changes who is actually helped. Examined for Greece's Social Climate Fund in A Warm House Is Not a Cheaper One.

The by-product that was never bought

Some public goods were produced for free as a by-product of an economic activity, fire management as a by-product of farming, for instance. When the activity stops, buying the good directly costs far more and lasts only as long as the budget. Set out in The Fire Was Put Out by People Making a Living.

Access to the asset versus ownership of it

The binding constraint on a rural livelihood is often not who owns the land but who holds the specific right that matters, the permission to cut the tree, harvest the crop, use the resource. Drawn out for a restoration programme in The Right That Matters Is to the Tree.

Corridors redistribute before they create

A new trade corridor redistributes market access before it creates any, and the places that lose out often experience no single measurable event, just a slow relative decline. Examined in The Village Twenty Kilometres Off the Road.

The clearance cost that does not shrink

Administrative and clearance burdens do not scale down with the size of the body carrying them, so a small municipality faces almost the same fixed hurdle as a large one with a fraction of the capacity. Set out in The Municipality Is the Instrument.

The just transition and stranded livelihoods

A transition that is good in aggregate still imposes concentrated losses on the people tied to the old system: the petrol mechanic, the coal town, the fuel vendor. Ignoring those losses is not only unjust, it is destabilising, because the people who lose are usually organised enough to slow or reverse the change. Whose livelihood is stranded, and whether they are compensated or abandoned, is an economic question before it is a moral one.

Externalities and the missing price

Many transition problems exist because a real cost or benefit is not priced: pollution that no one pays for, resilience that no one is rewarded for. Where the price is missing, the market sends the wrong signal, and correcting it, through a tax, a subsidy, a mandate, is often the whole substance of transition policy. Pigou (1920) proposed the corrective tax; Coase (1960) showed that where transaction costs are low the parties may bargain to the efficient outcome without one, which is why the transaction-cost structure, not just the externality, decides the right instrument. The absence of a price, not the presence of a bad one, is frequently the root problem.

Chart: a coral demand curve slopes down, a blue private cost curve slopes up, a green social cost curve slopes up above the blue line. Two equilibrium dots, one at the demand-social cost crossing labelled 'social optimum', one at the demand-private cost crossing labelled 'market output'. A coral bracket beneath spans the gap between them, labelled 'over-produced'. Caption context: when a real cost is not priced, the market delivers more of it than the world wants.
Chart: a blue supply curve slopes up, a coral private-benefit curve slopes down, a green social-benefit curve slopes down above the private-benefit line. Two equilibrium dots, one at supply-private benefit labelled 'market adoption', one at supply-social benefit labelled 'social optimum'. A green bracket beneath spans the gap between them, labelled 'under-supplied'. Caption context: the mirror case, when a real benefit is not priced, the market delivers less of it than the world wants.

Public goods and the free-rider problem

Some benefits, once produced, are available to everyone and cannot be withheld from those who do not pay, clean air, fire management, a stable climate, so no private party has the incentive to supply them, and they are systematically under-produced. Samuelson (1954) gave the formal definition. Much transition infrastructure has a public-good character, which is precisely why it does not appear without public provision or a deliberately engineered price.

Diagram: six houses in a row sit under a wide blue band labelled 'shared protection', with a note above 'non-payers cannot be excluded'. The leftmost two houses drop coins into a small collection pot labelled 'pay'; a bracket over the remaining four houses labels them 'do not pay'. To the right, a funding bar shows the cobalt fill only partway across a dashed outline labelled 'under-funded'. Caption beneath: everyone benefits, so too few volunteer to pay.

Two structural asymmetries worth naming

Some economic patterns are large enough to shape whole regions and whole technologies.

Invention versus commercialisation. Europe produces world-class innovation and struggles to scale it; the United States does the reverse. The asymmetry defines where value is captured on each side of the Atlantic, and where an independent evidence layer fits, as we argue in Europe Invents, America Scales.

Absorptive capacity. The climate question about AI is stuck on how much electricity it uses. The more decisive variable is which sectors are ready to convert AI into productivity, and the fossil economy has a forty-year head start, set out in The Asymmetry Nobody Is Metering.


References

The classical terms above draw on the following canonical sources. Where a concept is the Lab's own, the applied case is linked inline rather than cited here.

Akerlof, G. A. (1970). The market for 'lemons': Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), 488 to 500.

Arthur, W. B. (1989). Competing technologies, increasing returns, and lock-in by historical events. The Economic Journal, 99(394), 116 to 131.

Coase, R. H. (1937). The nature of the firm. Economica, 4(16), 386 to 405.

Coase, R. H. (1960). The problem of social cost. Journal of Law and Economics, 3, 1 to 44.

David, P. A. (1985). Clio and the economics of QWERTY. American Economic Review, 75(2), 332 to 337.

Katz, M. L., and Shapiro, C. (1985). Network externalities, competition, and compatibility. American Economic Review, 75(3), 424 to 440.

Marshall, A. (1890). Principles of Economics. London: Macmillan.

Pigou, A. C. (1920). The Economics of Welfare. London: Macmillan.

Samuelson, P. A. (1954). The pure theory of public expenditure. Review of Economics and Statistics, 36(4), 387 to 389.

Spence, M. (1973). Job market signalling. Quarterly Journal of Economics, 87(3), 355 to 374.

Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15(6), 285 to 305.

Williamson, O. E. (1985). The Economic Institutions of Capitalism. New York: Free Press.

For the transitions-studies frameworks that sit alongside these (the multi-level perspective, strategic niche management, and technological transition pathways), see the transitions primer and the readiness levels explainer, which carry their own references.


How to use this map

These concepts are not academic ornaments. Each one is a lens the Lab actually uses when reading a real deployment: before a company enters a market, before a funder renews a grant, before a consortium claims an impact. The economics is where the decisive questions usually hide, and naming the concept is the first step to asking whether it applies to the case in front of you.

For the full arguments, follow the links to the individual pieces. For the frameworks behind them, see the BRW framework, the readiness levels, and the resources library. For how the Lab applies all of this to a specific case, see What We Do, and to discuss a study, Contact.

This page is a living map and grows as the Lab publishes. The economics of a transition is rarely the first thing discussed and is usually the thing that decides it.

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