Chapter 8: Forest Insurance and the Forestry Transition

A stand of Chinese fir in Fujian takes twenty-five years to reach harvestable size. The farmer who planted it pays for seedlings, labor, and thinning across that entire period and receives nothing until the first commercial cut. Suppose a typhoon crosses the coast in year eleven and flattens the stand. The farmer loses the accumulated input costs, and with them the land's next rotation, because replanting resets the clock. A crop farmer in the same county faces a single-season exposure and can replant within months. The forester cannot. This difference in time horizon explains why forest insurance is a harder product to design than crop insurance, and why its absence constrains the shift toward managed, sustainable forestry more severely than the absence of credit does.

The forestry transition in China rests on a reclassification. Forests are moving from a sectoral industry—timber production organized under a quota system—to a foundational asset that supports water regulation, carbon sequestration, and rural livelihoods. The policy language is explicit: "Forests are shifting from a sectoral industry to a positioning that lays the foundation for sustainable development, allowing renewable natural resources to shoulder the mission of circumventing environmental constraints and creating wealth and welfare" (森林正在从一个部门产业向奠定可持续发展基础的定位转变，让可更新的自然资源担当起规避环境约束、创造财富和福利的使命). That shift changes what insurance must cover. A timber-only product protects the stumpage value of a commercial stand. A transition-oriented product must also protect the ecological service flows the stand generates, and it must keep the landowner solvent through the years when no cash revenue arrives.

This chapter does not argue that insurance alone can finance the forestry transition. Chapter 6 established the general logic of insurance as a risk-buffering layer between credit and the productive asset; Chapter 9 will link that layer to default probability. The task here is narrower: what risks forestry actually carries, which products have been tried and what the actuarial record shows, and how policy has shaped the market. The conclusion, stated up front: forest insurance in China has grown fast in coverage area and slowly in actuarial sophistication, and the gap between the two is where the transition's financing risk now sits.

8.1 Risk Profiles in Forestry

8.1.1 The Long Exposure Window

Every insurance product is a bet on the frequency and severity of a loss event within a defined period. Forestry's defining actuarial problem is that the period is long and the events are correlated. A one-year crop policy covers one planting cycle; the insurer can reprice annually as experience accumulates. A forest policy that covers a twenty-five-year rotation locks in a premium against a loss distribution the insurer cannot observe fully, because a single rotation yields at most one observation per stand.

Consider the arithmetic. Let \(T\) be the rotation length and \(\lambda\) the annual probability of a catastrophic event that destroys a stand. The probability that a stand survives to harvest is approximately \(e^{-\lambda T}\). For a crop with \(T = 1\) and \(\lambda = 0.05\), survival is 95 percent. For a forest with \(T = 25\) and the same annual hazard, survival is \(e^{-1.25} \approx 29\) percent. The same annual risk, compounded over a longer horizon, turns a manageable underwriting problem into a portfolio-level one. The insurer that writes a book of forest policies is not diversifying across independent annual bets; it is accumulating a correlated exposure that matures only at rotation age.

Forest insurance therefore cannot be priced the way crop insurance is priced. The relevant object is not the annual loss frequency but the distribution of cumulative losses over the rotation, and that distribution has a fat right tail. A single typhoon or a single fire season can produce losses across thousands of contiguous hectares. The 1987 Greater Khingan fire in Heilongjiang burned roughly 1.3 million hectares; no private insurer could have absorbed a loss of that scale from a regional book. The state's role in forest risk is structural, not incidental.

8.1.2 The Risk Taxonomy

Forestry risks fall into four categories, and each maps to a different insurance design.

Catastrophic natural hazards. Typhoons, ice storms, and floods cause standing-volume losses. These are the risks most amenable to parametric design because the triggering event is measurable by an external index—wind speed, precipitation, ice accumulation—rather than by on-site loss adjustment. The correlation problem is acute: a typhoon track crosses many policyholders at once, which is precisely the condition under which index-based triggers outperform indemnity triggers, because they settle fast and avoid the moral hazard of post-event loss assessment.

Fire. Fire is the most insured forest risk in China and the most heavily subsidized. It is also the risk most affected by human behavior, which creates moral hazard: a landowner who is fully insured against fire has weaker incentives to maintain firebreaks and underbrush clearance. The standard response is a deductible and a coinsurance share, but in forestry the deductible must be calibrated against the value of a stand that is not yet harvestable, which makes the coinsurance base ambiguous.

Pests and disease. Pine wilt disease, pine caterpillar outbreaks, and similar biological risks are slow-onset and spatially clustered. They are difficult to insure because the loss is gradual and the boundary between normal mortality and insurable epidemic is contested. Most Chinese forest policies exclude pests or cover them only under a supplementary rider with a waiting period.

Policy and market risk. Harvest quotas, logging bans, and timber price swings affect the landowner's revenue independently of biological loss. A stand that survives twenty-five years may be unharvestable if the quota is cut, and its stumpage value may fall if import competition depresses domestic prices. These are not insurable risks in the conventional sense; they are the reason forest insurance must be paired with a credit structure that can tolerate revenue deferral, which is the subject of Chapter 9.

The taxonomy matters because it determines what an insurance product can and cannot do for the transition. Insurance can transfer catastrophic natural hazard and fire risk. It cannot transfer quota risk or price risk. A financing structure that assumes insurance has removed all forestry risk will fail when the quota is cut. The buffering layer is partial by construction.

8.1.3 Why the Smallholder Is the Binding Case

China's forest land is overwhelmingly held by households under the collective forest tenure reform, which assigned management rights to individual households while retaining collective ownership. The result is a fragmented holding structure: millions of smallholders managing plots that average a few hectares, often interleaved with collective and state forest farms. Fragmentation has two consequences for insurance.

Fixed underwriting costs are spread over tiny sums insured. A loss adjuster dispatched to assess a two-hectare stand costs the same as one dispatched to a two-hundred-hectare stand. The expense ratio on small policies is prohibitive unless the assessment is replaced by an index or the policies are aggregated through a cooperative or a village-level intermediary.

Second, smallholders discount the future steeply. A household that depends on annual cash flow from crops or off-farm labor will not pay a premium today for protection of a revenue stream that arrives in two decades. The revealed preference is to underinsure the forest and overinvest in annual crops. This is rational at the household level and it is exactly the behavior that stalls the transition, because the ecological benefits of a mature forest accrue to the watershed and the carbon ledger, not to the household that bears the cost of waiting.

The policy problem, then, is not simply to make forest insurance available. It is to make it affordable for a class of policyholder whose time preference is high and whose plots are small. That is a subsidy problem, and it is the same problem Chapter 7 identified for weather index insurance in eco-agriculture. The instruments are similar: premium subsidies, public reinsurance, and the bundling of premium payments into credit.

8.2 Insurance Product Innovations

8.2.1 From Indemnity to Index: The Design Space

Forest insurance products differ along two dimensions: the trigger (indemnity versus parametric) and the peril covered (single peril versus multiple). The conventional Chinese product is a single-peril fire policy with indemnity settlement, heavily subsidized and sold through provincial forestry departments. Its weaknesses are the ones we have already identified: moral hazard on fire prevention, slow settlement, and high expense ratios on small plots.

The innovation frontier is parametric. A parametric forest policy pays when an external index crosses a threshold—wind speed at a weather station, cumulative rainfall over a season, a satellite-derived vegetation index—without on-site loss adjustment. Settlement is fast, moral hazard is reduced because the landowner cannot influence the index, and the expense ratio falls because there is no adjuster. The cost is basis risk: the index may trigger when the landowner has no loss, or fail to trigger when the landowner has a large loss.

Basis risk is more severe in forestry than in crop insurance because the loss object is heterogeneous. Two stands in the same weather station's catchment may differ in species, age, slope, and soil, and a wind speed that destroys one may leave the other intact. The standard mitigation is to define the index at a finer spatial resolution and to calibrate the payout to the stand's expected value rather than to a uniform sum insured. Neither mitigation is free, and the calibration requires a growth-and-yield model that most Chinese insurers do not maintain.

A second innovation is the multi-peril forest policy that bundles fire, wind, and pest cover under a single limit. These products exist but are thin. The actuarial difficulty is that the perils are correlated within a season—a windstorm that damages a stand also creates the fuel conditions for fire—so the combined loss distribution is not the sum of the marginal distributions. An insurer that prices the bundle as if the perils were independent will underreserve.

8.2.2 Weather Index Insurance Applied to Forestry

Chapter 7 developed the mechanics of weather index insurance for eco-agriculture. The same structure can be adapted to forestry, with modifications that reflect the longer exposure window.

A simplified index contract pays the policyholder an amount \(P\) when the realized index \(I\) falls below a strike \(K\):

where \(\alpha\) is the payout rate per index unit and \(L\) is the policy limit. For a forest, the index might be cumulative growing-season precipitation (drought), maximum wind speed during typhoon season (wind), or a satellite vegetation index measuring canopy damage. The contract's attraction is that it can be written for a multi-year term, which matches the rotation. A three-year or five-year index policy reduces the annual repricing problem and gives the landowner a predictable protection horizon.

The difficulty is that the index must be correlated with the biological loss, and the correlation is weaker for forests than for annual crops. A drought that reduces a crop's yield in a single season may merely slow a forest's growth, with the loss realized only at harvest. Converting a growth reduction into a payout requires a growth model, and the model's parameters are estimated from a small number of permanent sample plots. The actuarial record is short, which is the same constraint Chapter 7 identified for eco-agricultural index products.

Figure 8.1 shows the structure of a multi-year parametric forest policy.

flowchart TD
    A[Landowner applies for multi-year policy] --> B[Insurer sets index: wind, rain, or vegetation]
    B --> C[Index measured at weather station or by satellite]
    C --> D{Index crosses strike K?}
    D -->|No| E[No payout; premium retained]
    D -->|Yes| F[Payout = min of index shortfall times rate and limit L]
    F --> G[Payout deposited to landowner account]
    G --> H[Landowner replants or services debt]
    E --> I[Policy renews at anniversary]
    H --> I

The diagram makes the key design choice visible: the trigger is external, and the payout is automatic. The landowner's recovery does not depend on an adjuster's visit, which is what makes the product viable for small, dispersed plots. It also makes the product financeable, because a lender can treat the index payout as a contingent cash flow that services debt in a bad year.

8.2.3 Forest Insurance Linked to Credit

The innovation that matters most for the transition is not a new peril or a new index. It is the bundling of forest insurance into the loan structure, so that the insurance payout becomes a debt-service reserve rather than a compensation payment to the landowner.

The mechanism works as follows. A forestry operator borrows to finance establishment costs—seedlings, site preparation, early thinning. The lender requires the borrower to purchase a forest policy with the lender named as loss payee. If a covered event occurs, the payout goes first to the outstanding principal. The borrower's default probability falls because the bad-state cash flow is now sufficient to service the debt.

In the credit-risk literature, structural mitigation refers to conditions imposed on a counterparty during the life of a transaction to maintain creditworthiness or to trigger repayment on deterioration. Insurance-linked lending is a form of that mitigation: the insurance does not improve recovery in the event of default so much as it prevents the default from occurring in the first place, by converting a catastrophic loss into a covered event with a defined payout.

Who pays the premium? If the borrower pays, the premium is an additional establishment cost, and the smallholder with a high discount rate will resist. If the lender pays, the cost is passed through in the interest rate, which raises the effective cost of credit. The practical solution in Chinese pilot programs has been to fold the premium into the subsidized credit line, so that the fiscal subsidy covers both the interest spread and the insurance premium. Chapter 11 examines the fiscal mechanics of that arrangement. The structural point: forest insurance becomes a credit enhancement only when the premium is financed as part of the loan, not treated as a separate household expense.

8.2.4 Reinsurance and Catastrophe Bonds

A single provincial insurer cannot retain the catastrophic layer of a forest book. The correlated loss from a typhoon or a fire season exceeds its capital, and the reinsurance market is the mechanism for transferring that layer. China's agricultural and forest insurance programs are backed by a public reinsurance arrangement—China Re Agriculture Insurance Co., established in 2020—that assumes a share of the catastrophic layer alongside commercial reinsurers.

The capital-market instrument for the extreme layer is the catastrophe bond, or insurance-linked security. The structure is a special-purpose vehicle that sells securities to investors and holds the proceeds in escrow. The insurer pays a premium to the vehicle; the vehicle pays coupons to investors from the premium and the escrow earnings. If a defined catastrophe occurs, the escrow funds pay the insurer's claims and investors lose principal. The trigger can be indemnity-based, industry-loss-based, or parametric.

The parametric trigger is the natural fit for forestry. A forest catastrophe bond could be triggered by a wind speed or a fire-burned-area index, which is measurable and verifiable without loss adjustment across thousands of small plots. The market for such instruments is small—the global insurance-linked securities market is roughly $30 billion outstanding, with annual issuance around $10 billion—but it is the only mechanism that can transfer the tail risk of a regional forest catastrophe to capital markets rather than to the fiscal budget.

Figure 8.2 shows the catastrophe bond structure as applied to a forest portfolio.

sequenceDiagram
    participant Insurer as Forest Insurer
    participant SPV as Special Purpose Vehicle
    participant Investors as Capital Market Investors
    participant Index as Parametric Index
    Insurer->>SPV: Pays premium for reinsurance cover
    SPV->>Investors: Sells securities, proceeds to escrow
    SPV->>Investors: Pays coupons from premium and escrow yield
    Index->>SPV: Reports trigger event (wind speed, burned area)
    alt Trigger met
        SPV->>Insurer: Escrow funds pay claims
        SPV->>Investors: Principal reduced or lost
    else No trigger
        SPV->>Investors: Principal returned at maturity
    end

The structure is the same one used for earthquake and hurricane cover. Its application to forestry depends on the credibility of the index, which in turn depends on the density of weather stations and the reliability of satellite burned-area products. Both have improved substantially in the past decade, which is why parametric forest cover has become feasible where it was not in the 1990s.

8.3 Policy Support and Market Development

8.3.1 The Subsidy Architecture

China's forest insurance market is a creature of policy. The central finance premium subsidy program, established in 2009 and expanded since, covers a defined share of the premium for public-welfare forest insurance, with the remainder split between provincial and county finance and the policyholder. The subsidy is not a uniform rate; it varies by region and by forest category, with public-welfare forests receiving a higher share than commercial forests.

The rationale for the subsidy is the market-failure logic developed in Chapter 7. The actuarially fair premium exceeds what smallholders will pay, because the actuarial record is short, fixed costs are high, and the household discount rate is steep. The subsidy pays for early-stage market development that the private market cannot finance. It is not a permanent transfer; it is a bridge across the period in which the loss experience is too thin to price the product and the policyholder base is too fragmented to spread the fixed cost.

Whether the bridge has worked is an empirical question. Coverage area has grown rapidly—forest insurance now covers a substantial share of China's public-welfare forest—but the growth has been concentrated in fire cover, which is the cheapest and simplest peril to insure. Multi-peril and parametric products remain marginal. The subsidy has bought coverage quantity; it has not yet bought actuarial depth.

8.3.2 Public Reinsurance and the Catastrophic Layer

The subsidy addresses the premium; it does not address the capital. A provincial insurer that writes a large forest book faces a catastrophic exposure that exceeds its equity, and the private reinsurance market will price that exposure at a level that makes the primary policy unaffordable. The public reinsurance arrangement is the response: the state assumes a share of the catastrophic layer at a price below the private market's, which is a second subsidy, less visible than the premium subsidy but larger in magnitude.

Pricing the public reinsurance without creating a soft budget constraint for the primary insurer is the design question. If the public layer is priced too cheaply, the primary insurer has no incentive to underwrite carefully or to purchase private reinsurance for the layer above. If it is priced too dear, the primary policy becomes unaffordable and the coverage target is missed. The Chinese arrangement has erred toward cheap, which has supported coverage growth but has muted the price signal that would otherwise discipline underwriting.

This is the same tension Chapter 12 will examine in the context of policy-guided green instruments: the instrument must be cheap enough to mobilize capital and expensive enough to allocate it efficiently. Forest insurance sits squarely in that tension.

8.3.3 The Distribution Channel Problem

A subsidized product still has to reach the policyholder. China's forest holdings are dispersed across millions of households, and the transaction cost of selling and servicing a policy to each household individually is prohibitive. The distribution channel that has emerged is the village collective and the forestry cooperative, which aggregate demand and serve as the insurer's interface with the smallholder.

The cooperative model has a precedent in the supply and marketing cooperative system, which has organized smallholders into cooperatives for other agricultural products. The cooperative's role is to reduce the fixed cost per policy: it collects applications, verifies plot boundaries, collects premiums, and serves as the first point of claim notification. The insurer deals with one cooperative rather than hundreds of households, and the expense ratio falls accordingly.

The cooperative model has a governance risk. If the cooperative's leadership controls the claim process, the payout may be captured or delayed. The mitigation is to pay claims directly to the household account, with the cooperative's role limited to verification. The design choice matters because the credibility of the payout is what sustains the willingness to pay the premium in the next season.

8.3.4 What the Market Has and Has Not Achieved

The achievements are real. Forest insurance coverage in China has expanded from a negligible base in 2008 to a scale that makes it one of the largest forest insurance markets in the world by area covered. Fire insurance for public-welfare forests is now close to universal in the major forest provinces. The subsidy architecture is institutionalized, and the public reinsurance arrangement gives the primary insurers a credible catastrophic backstop.

The shortfalls are equally real. The product mix is narrow: fire dominates, multi-peril and parametric products are marginal, and pest and disease cover is largely absent. The actuarial base is thin: loss experience is short, and the pricing of non-fire perils relies on models rather than on observed frequency. The basis risk of the index products that do exist is not well measured. And the linkage to credit—the mechanism that would make insurance a true buffering layer for the transition—remains pilot-scale.

The honest summary is that forest insurance has solved the coverage problem and not the pricing problem. It has put policies on a large share of the forest estate; it has not yet built the actuarial record that would let the market price risk without a subsidy. The transition needs the second thing, because a subsidy that is calibrated to an unmeasured risk is a fiscal exposure with an unknown tail.

8.4 The Transition Test: Does Forest Insurance Support the Shift?

8.4.1 The Three Channels

Forest insurance can support the forestry transition through three channels, and the evidence for each is different.

The liquidity channel works through the timing of payouts. A parametric policy that settles within weeks of a triggering event gives the landowner cash to replant or to service debt before the next season. The indemnity policy that settles after a loss adjustment gives cash later, which is too late for the establishment window. The parametric design is therefore the one that supports the transition's replanting requirement.

The credit channel works through the lender's perception of default risk. A forest loan with an insurance-linked loss-payee clause has a lower probability of default in the bad state, which lowers the risk premium the lender charges. The size of the effect depends on the correlation between the insured event and the default event: if the landowner defaults mainly because of the insured catastrophe, the insurance is a powerful credit enhancement; if the default is driven by quota or price risk, the insurance does little.

The investment channel works through the landowner's willingness to commit to a long rotation. A household that is protected against catastrophic loss in year eleven is more willing to plant a species with a twenty-five-year rotation than one that is not. This is the channel that matters most for the ecological transition, because the ecological benefits of forestry accrue from long-rotation, mixed-species stands, and those are exactly the stands that a risk-averse smallholder will not plant without protection.

The evidence for the first two channels is stronger than for the third. Pilot programs have shown that parametric payouts reach landowners quickly and that insured loans carry lower spreads. The effect on rotation length is harder to measure because it requires observing planting decisions over decades, and the data do not yet exist.

8.4.2 The Limits of the Buffering Layer

Forest insurance cannot transfer quota risk, which is a policy variable that the state controls and that no private insurer will underwrite. It cannot transfer the price risk of a timber market that is integrated with international trade. It cannot compensate for a credit system that is unwilling to lend against a standing forest because the collateral is illiquid and the harvest is regulated.

These limits mean that the buffering layer is necessary but not sufficient. The integrated mechanism this book describes—rating-based identification, insurance-based risk buffering, sci-tech finance catalysis—treats insurance as one of three layers. Forest insurance does its job when it transfers the catastrophic natural-hazard risk that would otherwise make the long-rotation investment unbankable. It does not do the job of the rating layer, which identifies which forestry projects are creditworthy in the first place, or of the catalysis layer, which channels early-stage capital into the transition.

Figure 8.3 places forest insurance within the three-layer mechanism.

flowchart LR
    A[Rating layer: environmental performance and credit assessment] --> B[Identifies creditworthy forestry projects]
    B --> C[Buffering layer: forest insurance and public reinsurance]
    C --> D[Transfers catastrophic hazard risk]
    D --> E[Catalysis layer: sci-tech finance and policy funds]
    E --> F[Finances establishment and early thinning]
    F --> G[Long-rotation, mixed-species stand]
    G --> A

The rating layer's assessment of a forestry project depends on whether the project is insured, because an uninsured project carries a catastrophic loss exposure that the rating must reflect: an uninsured forty-hectare fir stand with ten years left on its loan would be scored as speculative-grade on hazard exposure alone, regardless of its ecological attributes. The insurance layer's pricing depends on the rating layer's data, because the environmental performance rating generates the stand-level information that the insurer needs to calibrate the index. And the catalysis layer's willingness to fund early-stage establishment depends on the buffering layer's protection, because early-stage capital cannot absorb a catastrophic loss in year three.

8.4.3 A Concrete Comparison

Two forestry operators in the same county illustrate the mechanism. Operator A manages forty hectares of Chinese fir under a conventional finance structure: a three-year working-capital loan of 1.2 million yuan from a rural commercial bank at a spread of 380 basis points over the benchmark lending rate, no insurance, and a harvest plan that depends on the quota being available in year twenty-five. Operator B manages a similar forty hectares under an integrated structure: a ten-year loan of 1.8 million yuan from a policy-guided green fund at a spread of 210 basis points, a parametric forest policy with the lender as loss payee, and a mixed-species planting plan that includes a native broadleaf component.

The 170-basis-point spread gap translates into roughly 30,000 yuan of annual interest saving on Operator B's larger loan. The premium on Operator B's policy runs at 2.4 percent of the sum insured, of which the central and provincial subsidies cover 70 percent, leaving the operator with a net premium of about 0.7 percent of insured value—roughly 12,600 yuan a year on 1.8 million yuan of cover. The net cost of the insurance is therefore less than half the interest saving it helps to produce, before counting the ecological service payments that the mixed-species stand earns.

The comparison is not a controlled experiment. It is an illustration of how the three layers interact in practice, and it shows why the transition requires all three rather than any one of them. Operator B's structure is more expensive to administer than Operator A's—the policy requires annual index verification, the mixed-species plan requires a growth model to calibrate payouts, and the loss-payee arrangement requires coordination between insurer and lender—and the administrative cost is borne by the subsidy and the policy fund. The question for policy is whether that cost is justified by the ecological services and the reduced default risk. The evidence from the pilot programs suggests that it is, but the evidence is short-run and the ecological benefits accrue over decades.

8.5 Toward a Transition-Oriented Forest Insurance Market

8.5.1 Three Design Priorities

The binding constraint on non-fire products is the absence of loss experience. The public reinsurance arrangement can be used to fund the data collection—permanent sample plots, weather station density, satellite burned-area validation—that would let insurers price multi-peril and parametric products without relying on transferred models. This is a public good, and the private market will not finance it because the returns are diffuse.

Basis risk is the main obstacle to parametric forest insurance, and the main source of basis risk is the heterogeneity of index definitions across provinces. A national standard for the wind, drought, and vegetation indices used in forest policies would let insurers pool experience across regions, which is the only way to build a credible actuarial base for a product with a multi-year term.

The insurance-linked lending structure works in pilots; it has not been scaled because the loss-payee clause and the premium financing require coordination between the insurer, the lender, and the fiscal authority. A standard contract template and a standard premium-financing arrangement would reduce the transaction cost of the structure and let it spread beyond the pilot counties.

8.5.2 The Fiscal Question

The subsidy architecture is the market's foundation, and it is also its largest fiscal exposure. The premium subsidy is a known cost; the public reinsurance layer is a contingent liability whose tail is not well measured. If a major typhoon or fire season produces losses that exceed the public layer's capacity, the fiscal budget absorbs the residual.

The transition will increase this exposure, because a transition-oriented forest estate is a long-rotation estate, and a long-rotation estate accumulates more standing value per hectare than a short-rotation one. The insured value rises with the rotation length, and so does the catastrophic exposure. The fiscal authority should therefore treat the growth of forest insurance as a budget-planning problem, not only as an agricultural policy problem. The actuarial record is the instrument for measuring the exposure, which is why the first design priority is also a fiscal priority.

8.5.3 What Comes Next

Chapter 9 takes the buffering layer and links it to credit explicitly. The question there is how the insurance payout changes the default probability of a forest loan, and how a lender should price that change. The answer requires a model of the joint distribution of the insured event and the borrower's cash flow, and it requires the data that this chapter has argued the market does not yet have. The two chapters are therefore connected by a data problem as much as by a conceptual one.

The forestry transition will be financed by long-term capital, and long-term capital will not flow into forestry unless the catastrophic risk is transferred. Forest insurance is the instrument for that transfer. It is not the whole mechanism, and it is not yet a mature market. The subsidy has bought coverage. The next phase has to buy actuarial depth—and that begins with a specific, unglamorous task: a national forest loss database, built from permanent sample plots and validated satellite burned-area records, that insurers can price against by the end of the next subsidy cycle. Without it, the buffering layer will remain a fire policy writ large, and the transition will remain dependent on fiscal absorption of a risk that no one has measured.