WC-007 / REGENERATIVE ECONOMICS / REV.B Complexity series · 2026

Do we need to rewild healthcare?

Regenerative economics proposes that health systems should operate more like living ecosystems and less like supply chains. Drawing on experiments in the US, China, Japan and Germany — and asking what legal architecture, evidence and AI need to contribute — we examine whether the UK might be among the first to find out.

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All writing §01 — The metaphor

Not a nature documentary. A structural argument.

The word comes from ecology. To rewild is to step back — to reduce human management, restore natural process, allow the system to find its own complexity. At Knepp in West Sussex, where Isabella Tree and Charlie Burrell gave up on conventional agriculture and let grazing herds move across 3,500 acres of former arable land, the results confounded every expectation. Turtle doves. Purple emperor butterflies. Nightingales. Life that hadn't been planned for, hadn't been audited, hadn't appeared in any five-year strategy. It emerged.

The question this essay asks — seriously, not rhetorically — is whether the same instinct holds something for healthcare. Whether the move toward longer time horizons, reduced central management, and genuine confidence in the intelligence of living systems might produce health outcomes that our current apparatus is structurally unable to generate.

It is an uncomfortable question. Healthcare is also the domain where uncertainty kills, where improvisation has a body count, where protocols exist not to suppress complexity but to manage it safely. We are not arguing for a health system that stops managing itself and waits for nightingales. We are asking whether the economic framework under which we design, fund, and assess health systems needs to be rebuilt from a different set of first principles — and if so, what law, evidence, and technology would need to provide before that argument becomes actionable.

The NHS's perpetual efficiency crisis is not primarily a management failure. It is a structural consequence of designing a system to optimise for throughput in a domain that generates value through relationships, continuity, and the slow accumulation of trust.


§02 — The proposition

What regenerative economics actually argues

Regenerative economics is not an anti-market position. It is a critique of a particular economic logic — one that treats value as a flow of financial return, time horizons as a function of political cycles, and natural and social capital as externalities to be managed off the balance sheet.

In healthcare, that logic shows up as: activity-based payment that rewards throughput over outcomes, commissioning cycles measured in years rather than decades, quality-adjusted life years as the primary unit of value, and chronic under-investment in the conditions — community trust, social connection, continuity of relationship — that generate health in the first place. The regenerative alternative, drawing on thinkers from Kate Raworth's doughnut economics to Partha Dasgupta's natural capital framework, reframes the question. Health is not a cost to be managed. It is capital — social, ecological, and human — that produces everything else.

Three principles carry the most practical weight for health systems. Stewardship over extraction — providers as custodians of an ecosystem's health rather than service providers delivering episodes of care. Multi-capital accounting — the social return of a community pharmacy, the reduced isolation and early warning function, made legible in the commissioning system alongside dispensing volumes. Patient capital and process funding — the recognition that the repair of damaged social and biological systems requires time horizons longer than any political cycle, funded reliably and without the constant pressure to re-prove viability on short grant cycles.


§03 — Four experiments

What the US, China, Japan and Germany reveal

Regenerative principles in healthcare are not hypothetical. Partial versions of them are being enacted — and contested — across the world's four largest health economies outside the UK. Each country illuminates a different dimension of the argument, and each reveals a different binding constraint.

United States

Capital available. Platform fragmented.

The US health system is the starkest demonstration of extractive economics in action — and, paradoxically, also the site of some of the most compelling regenerative experiments. The Evergreen Cooperatives in Cleveland — worker-owned enterprises providing services to major anchor institutions, including healthcare systems — demonstrate distributive design in practice: wealth built within a community, not extracted from it. The Oberlin Project, linking the city, college, and local hospitals in a shared commitment to sourcing food from local growers, connects ecological and human capital through the healthcare system's purchasing power.

Oregon's Coordinated Care Organisations represent the most structurally advanced bioregional health model in the US — place-based, globally budgeted, accountable for population health outcomes across a defined geography. Vermont's All-Payer model has gone further still, attempting a generational shift toward prevention investment with state-wide accountability. Both remain fragile, dependent on federal waivers, and unable to displace the deeper logic of a system where private equity has acquired thousands of physician practices and dozens of community hospitals specifically for the financial returns available from margin extraction rather than health generation.

The US has the private capital and the innovation culture for regenerative finance. What it lacks is the legal and political platform. ERISA, the 1974 federal statute governing employer health benefits, preempts state-level regulatory innovation for the majority of the working-age insured population. The Inflation Reduction Act (2022) has begun to demonstrate what catalytic public capital can achieve in energy transition — the equivalent in healthcare has not been legislated.

Binding constraint: legal fragmentation and private equity extraction
China

Long time horizons. Absent community agency.

China's structural capacity for regenerative investment is, in one dimension, unmatched. The central government can commit to twenty-year programmes — and has done so. The Loess Plateau Watershed Rehabilitation Project restored 3.5 million hectares of degraded land, lifted 2.5 million people out of poverty, and reduced sediment flow into the Yellow River over two decades of sustained investment: multi-capital returns at extraordinary scale, made possible by patient state capital. The Sponge City programme — replacing hard urban infrastructure with nature-based solutions to absorb and reuse rainwater across forty cities — directly improves community health outcomes as a consequence of ecological investment.

China's Healthy China 2030 strategy sets explicit long-horizon national targets for population health, environmental quality, and traditional medicine integration. The 2009 Law for the Promotion of the Circular Economy provides a national legal framework for regenerative economic principles. Since 2018, "ecological civilisation" (生态文明) is enshrined in the constitution. The time horizon and the legal infrastructure exist.

The binding constraint is the one regenerative economics specifically requires: genuine community agency. Bioregional stewardship depends on local populations having authentic custodianship over their health environment — the power to define what health means in their place, to shape the social contract that governs it. China's governance structure does not permit that in any meaningful sense. The risk is that what looks like regenerative investment is, in practice, sophisticated central extraction with ecological characteristics.

Binding constraint: central planning without community custodianship
Japan

Community care codified. Growth logic still embedded.

Japan has arguably gone furthest among large economies in codifying place-based, long-horizon health care into statute. The Community-Based Integrated Care System (地域包括ケアシステム), written into national policy in 2012 and continuously strengthened since, explicitly organises elder care around geographic communities — the hospital, the GP, the community nurse, the social worker, and the family — as an integrated stewardship network rather than a series of discrete service episodes. The Long-Term Care Insurance Act (2000) established a national patient capital structure for elder care that has now accumulated twenty-five years of social investment.

The Satoyama concept — traditional Japanese landscape management at the productive interface between human settlement and nature — has been revived as an ecological and social framework, and the UN's Satoyama Initiative now draws on it as a global model for place-rooted stewardship. Dan Buettner's Blue Zones research has repeatedly identified Okinawa as a longevity outlier: the evidence that place-specific social structures generate long-term health outcomes exists, and it is Japanese.

The tension is that Japan's growth-agnostic financial policy — it has operated negative interest rates since 2014, implicitly accepting that quantitative growth is no longer the organising principle of its economy — aligns with regenerative economics in theory, while the country's healthcare and pharmaceutical sectors remain organised around the growth and extraction logic they inherited from post-war development. The social care infrastructure is regenerative; the healthcare financing system largely is not.

Binding constraint: growth logic in healthcare contradicts regenerative social care
Germany

The legal structure exists. The competitive reform undid it.

Germany comes closest, among G7 economies, to having the legal and institutional infrastructure for regenerative healthcare financing already in place. The Soziale Marktwirtschaft — the social market economy — is not simply a political slogan; it is a constitutional and legal tradition that recognises the legitimacy of social and ecological constraints on market activity. The gemeinnützige GmbH (gGmbH) legal structure provides a vehicle for social enterprise at scale, with the asset lock and charitable purpose requirement that prevent extraction. Germany's sickness funds (Krankenkassen) are quasi-public cooperative entities with social missions embedded in their legal foundations.

The Energiewende is the most instructive precedent. The 1999 eco-tax — shifting the tax burden from labour to resource use — reduced fuel consumption by 17% and generated 250,000 jobs over four years: a demonstrable multi-capital outcome at national scale. The 2004 feed-in tariff, requiring the state to pay above-market prices to households and institutions generating renewable energy, generated 30% renewable electricity within a decade. These are state-financed, long-horizon, stewardship-oriented transitions. They are also evidence that the Energiewende model transfers.

The binding constraint is that competitive reform of the sickness funds — introduced in the 1990s and 2000s specifically to introduce market incentives — has imposed an extractive logic onto institutions with regenerative foundations. The sickness funds now compete for members on price and service, which rewards throughput optimisation rather than population health stewardship. The legal infrastructure for a regenerative healthcare system exists in Germany; the competitive market overlay is dismantling it slowly.

Binding constraint: competitive market reform eroding cooperative foundations

The pattern across all four is consistent. The regenerative argument is structurally compelling. The binding constraints are specific and legal: fragmented jurisdiction (US), absent community agency (China), growth-logic persistence (Japan), competitive market overlay (Germany). None of these constraints is immovable. All of them require deliberate legislative change to shift.


§04 — The counterargument

Why complicated mechanisms work — and shouldn't be abandoned

There is a version of the regenerative argument that, pursued too far, becomes romantic. It would have us dismantle the NICE appraisal process, abandon randomised evidence, and trust in emergence. That is not the argument we are making. But it deserves honest engagement, because the case for the complicated machinery of modern healthcare is real and strong.

The case for QALYs

QALYs exist because without them, commissioners face impossible choices with no shared language. The £20,000 to £30,000 per QALY threshold is arbitrary — health economists will say that freely. But it is a shared arbitrary. It makes resource allocation contestable, forces transparency about trade-offs, and gives patient advocates a lever against decisions made on other grounds. Healthcare systems that have abandoned explicit cost-effectiveness thresholds have not become more regenerative; they have become more captured by the best-organised lobbying coalitions, less equitable in treatment access, and harder to hold to account.

The case for clinical guidelines

Clinical guidelines reduce variance — and variance, in healthcare, often means inequity. The successive inquiries into care failures at Stafford, Morecambe Bay, and East Kent are, in large part, stories of what happens when local autonomy is exercised without accountability structures. The complicated protocols that feel like a straightjacket to clinicians in well-functioning systems are, in failing systems, the only mechanism preventing harm from becoming catastrophic. Rewilding a dysfunctional system is not the same as rewilding a healthy one. Knepp works because the land had retained sufficient fertility. Some NHS settings have not.

The case for randomised evidence

Randomised controlled trials were designed for something simpler than complex adaptive systems — but they remain the most reliable method we have for separating causal signal from confounded noise in biological systems. The regenerative critique of evidence hierarchies is often a critique of the wrong level of the hierarchy. The question is not whether evidence is necessary; it is whether the evidence we collect measures the right outcomes across the right timeframes at the right scale.

The core distinction: complicated mechanisms are fit for complicated problems. They fail — not because they are wrong but because they are misapplied — when the problem is genuinely complex. Complicated problems have many components but known relationships between them. Complex problems have emergent properties, non-linear dynamics, and feedback loops that make prediction structurally uncertain.

Healthcare contains both. The pharmacokinetics of a specific drug in a defined patient population is a complicated problem — RCTs, guidelines, and cost-effectiveness thresholds are the right tools. The health of a de-industrialised community in Rotherham or Detroit is a complex problem — those same tools, applied without adaptation, produce confident-looking numbers and poor decisions. The challenge is not to choose a framework but to develop the institutional capacity to know which kind of problem is in front of you, and to reach for the appropriate instrument.


§05 — Mapping the difference

Two logics. One system trying to hold both.

The following is not a hierarchy. Neither logic is unconditionally correct. They operate at different scales, on different timescales, and for different kinds of problems. The NHS needs both. What it lacks is a clear account of when to apply which — and the legal and financial structures to fund the second column with any reliability.

Dimension Extractive / complicated logic Regenerative / complex logic
Unit of valueThe metric used to assess system performance
Activity volume, QALYs, cost per episode
Multi-capital returns — social, ecological, human, financial
Time horizonThe period over which returns are assessed
1–5 years (commissioning / political cycle)
10–20+ years (generational / ecological timescale)
What is fundedThe object of investment
Specific interventions with measurable outputs
Process and relationships — the conditions for health
System modelHow the system is understood
Linear: defined input produces defined output
Non-linear: leverage points, feedback, emergence
Decision modeHow choices are made under uncertainty
"Rational economic man" — exhaustive analysis, optimised choice
"Heuristic man" — fast and frugal rules, adaptive learning
Scale of governanceWhere decisions are made
Centralised, national, standardised
Bioregional — place-rooted, community custodian
Failure modeWhat goes wrong when pushed too far
Brittle efficiency — optimised systems that fracture under stress
Accountability deficit — valuable but invisible, captured by advocates

§06 — The legal question

What the law needs to do — and who it would threaten

The international evidence suggests that regenerative healthcare is not primarily a technology or a clinical problem. It is a legal problem. The binding constraints in every country we examined are legislative: what commissioning law permits, what accounting standards recognise, what financial regulation allows, what intellectual property frameworks protect. Moving from theory to practice requires specific legislative change — and an honest account of whose interests those changes would threaten.

Five legal shifts and their consequences

The pattern in the table above is not subtle. The same four actors — private equity healthcare investors, pharmaceutical companies on their current business model, financial intermediaries dependent on transactional capital, and large acute providers that have grown by absorbing community services — are constrained by every significant legal shift that regenerative economics requires. This is not an argument against those changes. It is an argument for clarity about where the political resistance will come from, and for designing transition frameworks that acknowledge legitimate interests rather than simply overriding them.

The Wales Wellbeing of Future Generations Act (2015) is the most sophisticated legal framework currently in operation anywhere in the world for this kind of shift. It places a statutory duty on all public bodies — including health boards — to act in accordance with sustainable development principles, appoints a Future Generations Commissioner with powers of review and intervention, and requires public bodies to demonstrate how their decisions serve the needs of people who are not yet born. It does not specify regenerative economics. But it creates the constitutional architecture within which regenerative health investment can be funded, evaluated, and defended against the short-term efficiency arguments that otherwise always win.


§07 — Weak signals

Who is already moving — and what pioneer actually means

In complexity theory, a weak signal is a small, early, often counterintuitive indicator of emergent system change. Weak signals do not look like the future when they appear. They look like anomalies — underfunded pilots, eccentric local authorities, legislative experiments that seem disproportionate to the problem they address. Their significance is only legible in retrospect, once the system has shifted around them.

There are weak signals in healthcare that point toward the regenerative transition. They are fragile. They are unevenly distributed. And they are disproportionately concentrated in the United Kingdom — specifically in its devolved nations.

What does it mean to be a pioneer in a complex system? Pioneers absorb the early costs of system transition — the political resistance, the measurement uncertainty, the mis-steps of learning — and generate the template that others adopt when conditions have shifted. They rarely benefit fully from what they establish. The first country to demonstrate that a regenerative health system can outperform a conventional one on population health outcomes, at comparable cost, will have produced something worth far more than any single health improvement. They will have provided the evidence that changes the argument globally.

The UK — specifically Wales, Scotland, and the embryonic ICS structures in England — is better positioned for that role than any other country we have examined. It has a universal public health system that functions as a single legal entity, a data holder, and a population-level social contract simultaneously. It has the devolved legislative experiments. It has a strong VCSE sector and a community wealth building movement that have already demonstrated regenerative economics in practice. It has Partha Dasgupta's natural capital framework, produced for the UK Treasury, providing intellectual legitimacy at the highest level.

What it lacks is time. The fragility of the NHS's political settlement, the pace of private equity acquisition of community health infrastructure, and the short cycles of government mean that the window for this kind of structural experiment is narrower than the timescales regenerative investment requires. Pioneer status is not guaranteed. It has to be chosen — deliberately, with resources, and with the institutional will to measure failure as rigorously as success.


§08 — What we don't know

The evidence question. Honest.

We should be direct about the limits of the current evidence base, even after examining four national healthcare systems and a range of legal frameworks.

The regenerative case draws heavily on landscape restoration, agricultural economics, and community development. The Loess Plateau project is compelling evidence that regenerative investment at scale produces multi-capital returns — but the transfer to healthcare is an analogy, not a proof. The Torekes complementary currency in Ghent is suggestive; it is not a controlled study. Oregon's CCOs are the nearest equivalent to a population-level bioregional health experiment, and after fifteen years the evidence on population health outcomes is promising but not yet definitive. New Zealand's Wellbeing Budget is two parliamentary terms old.

What the evidence gap looks like

We do not yet have a convincing body of population-level, longitudinal evidence that regenerative health financing produces better health outcomes than conventional investment at comparable cost and over comparable time horizons. That is not an argument against the approach. It is an argument for building the infrastructure to generate that evidence rigorously — and for being honest with commissioners, patients, and politicians about the current strength of the case while doing so.

The structural reason for the gap is the mismatch. Regenerative approaches require long time horizons; most research funding cycles are five years or fewer. They generate value across multiple capitals simultaneously; most outcome measures are single-domain. They are place-specific; most trials are designed to produce generalisable findings. The evaluation system is calibrated for a different kind of intervention.

The honest position for commissioners is this: there is sufficient theoretical grounding and case-study evidence to justify structured, well-evaluated pilots with genuine process funding and long time horizons. There is not yet enough to justify wholesale reallocation of finite NHS resources away from conventional care. That second step requires the evidence that only a first step can generate. The pioneers in §07 above are generating it. The question is whether the UK's institutional structures can hold long enough to collect it.


§09 — The technology question

Where AI changes the equation — and where it doesn't

The most substantive connection between regenerative economics and the current moment in technology is measurement. Regenerative approaches have always suffered from a data problem: the value they create is multi-dimensional, long-horizon, and difficult to attribute. Financial returns can be calculated at quarter end. The social return on a community health worker who has maintained a network of isolated older adults for fifteen years is real — but it lives in the unquantified space between prevented hospital admissions and things that never happened.

AI changes this in a specific and limited way. What AI can do — at scale, in near real time — is pattern recognition across heterogeneous data streams. Population health surveillance, social care records, primary care contacts, community network data, environmental indicators, housing and deprivation indices: these data sources exist within the NHS. They are fragmented, poorly linked, and largely unused for anything beyond operational reporting. A digital measurement, reporting, and verification infrastructure — of the kind that regenerative finance (ReFi) has been developing for ecosystem services through platforms like Regen Network — could make multi-capital value visible and attributable in ways that have not previously been tractable. This is AI as the accounting infrastructure for a different kind of value, one that the current system is structurally unable to see.

The harder version of the argument is more important. The concept of "heuristic man" from complexity research — the finding that fast-and-frugal decision heuristics outperform data-heavy algorithms in genuinely uncertain environments — suggests that AI's role in regenerative healthcare should be to support human judgement rather than replace it. The GP reading a room, the community nurse who knows which doors to knock on after a bereavement: these are expressions of accumulated local knowledge that no population-level model can replicate. The role of AI is to provide the systemic view that individual clinicians cannot hold, while leaving the situated, relational intelligence where it belongs.

What this would require

Federated data infrastructure across ICS partners — acute, primary, community, social care — linked at the population level without centralising raw records. Multi-capital outcome frameworks defined in advance with clinical and community input, specifying what dimensions of wellbeing the system is committed to tracking. Long-run data retention — ten to twenty year analysis windows, not the operational reporting cycles that currently shape NHS data architecture. And genuine transparency to communities about what is being measured and why — a prerequisite for the social contract that makes bioregional governance function. Without that transparency, digital MRV becomes surveillance, not stewardship.

None of this is technically intractable. The Integrated Care Record programmes being built across England are, structurally, the beginning of this infrastructure. Whether the analytical and governance frameworks sitting on top of them are designed to answer regenerative questions — or only the extractive accounting questions the current system already knows how to ask — is a design choice being made right now, largely without awareness that it is being made.


§10 — Where this leaves us

Holding the tension. Not resolving it.

The case for regenerative economics in healthcare is strongest as a critique of the current system's time horizons and its structural inability to value what it cannot measure. The NHS's efficiency crisis is not a management failure. It is a consequence of applying economic logic designed for complicated systems to a domain that is fundamentally complex, relational, and ecological. The US, China, Japan, and Germany each illuminate a different angle of the same problem — and each demonstrates that the binding constraint is legislative, not clinical or technological.

The case against is strongest as a caution about abandoning accountability and comparability. Regenerative systems without rigorous measurement become opaque, susceptible to the best-organised advocates, and less legible to the communities they are meant to serve. The table of legal changes in §06 is also a table of political opposition. Private equity, pharmaceutical companies on their current model, and financial intermediaries dependent on transactional capital will resist each of those changes. That resistance is rational, well-resourced, and will need to be met with evidence rather than conviction.

The position worth holding is neither pole. Complicated mechanisms — evidence hierarchies, cost-effectiveness thresholds, clinical guidelines — are right for the complicated problems healthcare contains. Regenerative mechanisms — process funding, multi-capital accounting, long-horizon patient capital, bioregional governance — are right for the complex ones. The work is to build the institutional capacity to tell the difference: to know whether the problem in front of you is the pharmacokinetics of a drug or the health of a community, and to reach for the appropriate instrument.

The UK, particularly Wales and Scotland, is better positioned to pioneer that capacity than any other country we examined. The legal infrastructure is further advanced. The ICS structure provides the bioregional governance unit. The VCSE sector and community wealth building movement have demonstrated the economic model in practice. What is required now is not another theoretical framework but the sustained, well-resourced, honestly evaluated experiment that generates the population health evidence the argument needs.

The healthcare system doesn't need to be simpler. It needs to be better understood. Regenerative economics is one instrument for that understanding — incomplete, emerging, worth taking seriously. What it requires is not faith but evidence. And evidence requires infrastructure, long time horizons, and the institutional will to ask questions whose answers might be inconvenient for everyone currently in the room.

Pioneers absorb costs that others later avoid. We think healthcare — and the communities it is meant to serve — is worth that cost. We think the UK might be willing to pay it. We think the experiment is worth designing carefully enough that the rest of the world will be able to read the results.