2,509 research outputs found
Estimating Private Incentives for Wildfire Risk Mitigation: Determinants of Demands for Different Fire-Safe Actions
In this article we develop a general conceptual model of a property-owner’s decision to implement actions to protect his property against wildfire threat. Assuming a prospective-utility maximizing decision maker, we derive a system of demand functions for fire-safe actions that characterizes factors affecting individual decision making. We then empirically estimate the demands for various fire-safe actions functions using survey data of property owners facing a wildfire threat in Nevada. We find that the probability of individuals implementing some fire-safe action increases with value of the residence, previous experience with wildfire, the property being used as the primary residence, positive attitude towards wildfire management methods on public lands, and connectedness of community members. A lower probability of implementing fire-safe actions is found for those who value pristine nature and privacy that nature provides.Risk and Uncertainty,
An Econometric Model of Wildfire Suppression Productivity
We estimate a model of suppression productivity for individual fires, where suppression productivity is measured in terms of the reduction in the estimated market value of wildfire losses. Estimation results show that at the margin, every dollar increase in suppression costs reduces resource damage by 12 cents, while each dollar invested in pre-suppression reduces suppression expenditures by 3.76 dollars. These results suggest that there is an over-allocation of fire management funds to suppression activities relative to prevention measures in terms of cost-effectiveness. This paper provides an empirical basis for a widely used economic model of wildfire management that seeks to minimize the sum of suppression costs and economic losses from wildfires, the cost plus net value change model of fire suppression (C+NVC).wildfire suppression, productivity
Optimal wildfire insurance in the wildland-urban interface in the presence of a government subsidy for fire risk mitigation
We investigate the effectiveness of a government subsidy and mitigation based insurance contracts at discouraging migration into the wildland interface and at inducing incentives for risk mitigation. We construct a model of the individual migration decision, where the individual maximizes expected utility defined over attributes of locations including cost of insurance and mitigation, wildfire damage, and the availability of a subsidy for reducing wildfire risks through fuel management. Our analysis shows that standard insurance policies provide inefficiently weak incentive for wildfire risk mitigation by offering a low insurance premium to high-risk landowners. We find on the other hand that in the presence of optimal government subsidy, contingent contracts provide an efficient solution where a homeowner chooses a mitigation level that maximizes social benefit and insurers provide actuarially fair contracts such that each individual is offered a premium of the exact value of her wildfire risk.Insurance; Insurance Companies, Government Policy and Regulation, General, Government Policy
Inducing Private Wildfire Risk Mitigation: Experimental Investigation of Measures on Adjacent Public Lands
Increasing private wildfire risk mitigation is an important part of the larger forest restoration policy challenge. Data from an economic experiment are used to evaluate the effectiveness of providing fuel treatments on public land adjacent to private land to induce private wildfire risk mitigation. Results show evidence of “crowding out” where public spending can decrease the level of private risk mitigation. However, a policy prescription that ameliorates this crowding out is identified. Participants undertake more mitigation when fuel treatments on publicly owned lands are conditional on a threshold level of private mitigation effort and information describing each participant’s spending is provided. Key Words:
Embedding a Field Experiment in Contingent Valuation to Measure Context-Dependent Risk Preferences: Does Prospect Theory Explain Individual Responses for Wildfire Risk?
This paper contributes towards the development of an empirical approach applicable to contingent valuation to accommodate non-expected utility risk preferences. Combining elicitation approaches used in field experiments with contingent valuation, we embed an experimental design that systematically varies probabilities and losses across a survey sample in a willingness to pay elicitation format. We apply the proposed elicitation and estimation approaches to estimate the risk preferences of a representative homeowner who faces probabilistic wildfire risks and an investment option that reduces losses due to wildfire. Based on prospect theory, we estimate parameters of probability weighting, risk preferences and use individual characteristics as covariates for these parameters and as utility shifters. We find that risk preferences are consistent with prospect theory. We find that probability weighting may offer an explanation for respondents’ observed under investment in measures to reduce losses due to wildfire.Prospect theory; Contingent valuation; Field experiment, Wildfire risk
Recovering and rebuilding from Oregon's 2020 wildfires: key findings and recommendations
report presented by the Governor's Wildfire Economic Recovery Council ; written and compiled by Matthew Garrett and Ariane Le Chevallier.Title from PDF cover (viewed on March 3, 2022).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Measuring Regional Economic Impacts from Wildfire: Case Study of Southeast Oregon Cattle-Ranching Business
public grazing, regional economic impact, Social Accounting Matrix, Southeast Oregon, wildfire
Report of the SB762 Wildfire Programs Advisory Council
Began with October 2022 [draft].Includes draft and final versions.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Lincoln County, Oregon community wildfire protection plan
v. 1. Community wildfire protection plan -- v. 2. Appendices.Title from PDF cover (viewed on October 31, 2018).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Effects of post-fire logging on forest surface air temperatures in the Siskiyou Mountains, Oregon, USA
Following stand-replacing wildfire, post-fire (salvage) logging of fire-killed trees is a widely implemented management practice in many forest types. A common hypothesis is that removal of fire-killed trees increases surface temperatures due to loss of shade and increased solar radiation, thereby influencing vegetation establishment and possibly stand development. Six years after a wildfire in a Mediterranean-climate mixed-conifer forest in southwest Oregon, USA, we measured the effects of post-fire logging (> 90 per cent dead tree (snag) removal) on growing season surface air temperatures. Compared with unlogged severely burned forest, post-fire logging did not lead to increased maximum daily surface air temperature. However, dead tree removal was associated with lower nightly minimum temperatures (similar to 1 degrees C) and earlier daytime heating, leading to a 1-2 degrees C difference during the warming portion of the day. Effects varied predictably by aspect. The patterns reported here represent a similar but muted pattern as previously reported for microclimatic changes following clear-cutting of green trees. Effects of microsites such as tree bases on fine-scale temperature regimes require further investigation
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