We use contingent valuation to estimate hunter and trapper willingness to pay (WTP) for a hypothetical bobcat harvest permit being considered in Indiana. Harvest permits would be rationed, with limits on aggregate and individual harvests. A model of permit demand shows that WTP may be subject to “congestion effects” which attenuate welfare gains from relaxing harvest limits. Intuitively, relaxing limits may directly change an individual’s expected harvest and, hence, WTP. Participation may subsequently change, with congestion offsetting welfare increases. These effects may lead to apparent scope insensitivity that may be endemic in the context of rationed goods.

A theoretically consistent structural model facilitates definition and measurement of use and non-use benefits of ecosystem services. Unlike many previous approaches that utilize multiple stated choice situations, we apply this conceptual framework to a travel cost random utility model and a consequential single referendum contingent valuation research design for simultaneously estimating use and non-use willingness to pay for environmental quality improvement. We employ Monte Carlo generated data to evaluate properties of key parameters and examine the robustness of this method of measuring use and non-use values associated with quality change. The simulation study confirms that this new method, combined with simulated revealed and stated preference data can generally, but not always, be applied to successfully identify use and non-use values of various ecosystems while consistency is ensured.

Land protection not only supports vital ecosystem services but also poses important challenges for social equity. Three key concerns emerge from economic frameworks about land protection policies: potential lost local economic development, reinforcement of existing structural inequalities, and disparities in access to the benefits of protected land. This article reviews evidence for each concern and identifies research needs as well as potential improvements in policy that could better support equity goals. Pathways forward towards greater equity include specific mechanisms that can ensure local communities benefit from land protection, attention to issues of spatial impacts and timing, explicit prioritization of equity in land protection initiatives, and community-centred processes. Economists have and can continue to play a role in strengthening these dimensions of land protection policies.

Bison is an important and iconic mammal in the U.S. that is being reintroduced in many places after being driven nearly to extinction. This paper provides a nationwide assessment of the local economic impacts of bison reintroduction so that rural communities can take economic well-being into account when considering decisions regarding future bison restorations. We estimate the causal impacts of bison herd establishment on county-level income, employment, and population growth using staggered difference-in-difference and the synthetic control approaches. The simple positive correlation between local per capita income and bison herds might lead planners to think that bison reintroduction is good for the local economy. However, none of the causal inference analyses find statistically significant effects of bison reintroduction.

Due to COVID-19, many households faced hardships in the spring of 2020 – unemployment, an uncertain economic future, forced separation, and more. At the same time, the number of people who participated in outdoor recreation in many areas increased, as it was one of the few activities still permitted. How these experiences affect the public’s willingness to pay (WTP) for environmental public goods is unknown. During the early months of the pandemic, we conducted a stated preference survey to value statewide water quality improvements in Delaware. While a majority of participants report experiencing hardship of some sort (economic, emotional, etc.), mean household WTP declined by only 7 % by May 2020.

Recent research examining voting behavior in contingent valuation referenda informs on how consequential survey respondents behave and its impact on willingness-to-pay (WTP) values. This research attempts to examine whether this behavior holds across population subgroups. We consider resident and nonresident users of artificial reefs and find improved construct validity for our resident models over nonresident models. Specifically, resident behavior is in line with a priori expectations with consequential residents more likely to vote in favor of a policy for additional reef funding – a result that is consistent with the “protest no” literature. Consequently, consequential resident voters exhibit a greater WTP than inconsequential voters. Nonresident behavior differs, however. For this subgroup, consequentiality does not influence voting behavior and WTP values do not differ by consequentiality. Overall, more work is required to appropriately identify WTP values for nonresident populations, particularly from a benefit-cost perspective, where appropriately identifying subgroup WTP values are a critical component of measuring the net present value of a given policy.

Recreational saltwater anglers from the mid-Atlantic through the Gulf of Mexico commonly target red drum. Due to concerns about overharvesting within South Carolina coupled with regional management actions, South Carolina explored the technical feasibility of stocking hatchery-produced juvenile red drum as a technique to augment the abundance of South Carolina stock. In order to assess a continued program, in 2005 a mail survey was used to collect data for estimating the economic benefits with the contingent valuation method. The theoretical validity of willingness to pay was assessed by comparison to the value of a change in red drum fishing trips that would result from the program. Benefits were compared to estimated, explicit stocking costs. We illustrate how a certainty recode approach can be used in sensitivity analysis. The net present values (NPVs) for the stocking program are positive suggesting that the program would have been economically efficient relative to no program.

This paper explores the influence of demographic and spatial variables on individual participation and consumption of wildland area recreation. Data from the National Survey on Recreation and the Environment are combined with geographical information system-based distance measures to develop nonlinear regression models used to predict both participation and the number of days of participation in wilderness and primitive area recreation. The estimated models corroborate previous findings indicating that race (black), ethnicity (Hispanic), immigrant status, age, and urban dwelling are negatively correlated with wildland visitation, while income, gender (male), and education positively affect wild-land recreation participation and use. The presence of a distance or proximity factor mitigates some of the influence of race and ethnicity. The results of the cross-sectional models are combined with U.S. Census projections of total population, changes in population characteristics, and estimates of current National Forest Wilderness visitation estimates to give some insight into pressure that might be expected on the nation's designated wilderness during the next half century. Results generally indicate that per-capita participation and visitation rates will decline over time as society changes. Total wilderness participation and visitation will, however, increase, but at a rate less than population growth.

A method of paired comparison is adapted for use in estimating economic measures of value. The method elicits multiple binary choices for paired items in a choice set. Probability distributions and economic values are estimated nonparametrically and parametri-cally. The method is applied in an experimental context with a choice set composed of four private goods and several sums of money. The sample's median value estimates for the goods are generally not different than the market prices for these goods. People who are in the market for a good value it higher than those not in the market for the good.

Coastal communities cannot depend on funding from the state or federal government to maintain high-quality beaches that benefit the public and attract tourist revenues. This article investigates the feasibility and efficiency of beach improvement projects at two Georgia barrier islands through the alternative funding mechanisms of general-revenue financing and user fees. Benefits are calculated from an intensive, on-site survey of beach visitors, and the costs are calculated from observable sources. The analyses presented support beach improvement as an effective policy on both islands under all scenarios considered.

The income capitalization approach is used, based on expenditure and nonmarket values collected from travel-cost and contingent valuation methodologies, to measure the feasibility of running a self-sustaining recreational site in coastal Louisiana. Through Internet and intercept surveys, a total of 2,696 respondents, 88% of them anglers, provided information on economic expenditures, destination preferences, and preferences for specific site amenities regarding Elmer's Island. The purchase and subsequent opening of the area to the public were found to be self-sustaining even when considering conservative economic estimates.

We used the open-ended contingent valuation method to elicit willingness to pay (WTP) for day visitors and extended visitors on the Ocala National Forest (ONF), Florida. A Tobit model specification was applied to account for the issues involved with censored WTP bids. The results reveal that visitors would pay more for improved recreational facilities at the ONF. In particular, our estimates show that visitors would pay $1 million for basic facilities, $1.9 million for moderate improvements, and $2.5 million for more improvements.

Treatment of time in travel cost models has been a source of contention among economists. The debate persists because welfare estimates, which are the principal objectives of these studies, are highly sensitive to the treatment of time. The present study examines the dual role of on-site time using evidence from two wilderness areas in Alabama. The empirical results comply with the theoretical expectation that on-site time is both a source of utility and cost. The exclusion of on-site time from demand functions results in biased parameter estimates. In particular, it yields smaller own-price coefficients and higher welfare estimates.

This study uses a hedonic property price method to estimate how wetlandsaffect residential property values in a rural area. The study utilizeswetland inventory data coupled with extensive property sales records betweenJanuary 2000 and September 2004 from Carteret County, NC. Our resultsindicate that i) a higher wetland percentage within a quarter mile of aproperty, ii) closer proximity to the nearest wetland, and iii) larger sizeof the nearest wetland are associated with lower residential propertyvalues. These results contrast with previous hedonic studies that use datafrom urban areas, which found positive associations between wetlands andproperty values. The amenity value of wetlands appears to depend at least asmuch on the characteristics of the area being considered as it does on thecharacteristics of the wetlands.

Recreational hunting has been an attractive enterprise for some ranchers who are interested in supplementing their income from cattle. Ranchland attributes—such as parcel size, tree cover, and proximity to urban centers—are expected to influence hunters' preferences and, thus, hunting lease payments. We estimated the effects of these attributes on hunting revenues using a hedonic model. The results reveal that trees and vegetation cover on ranchlands have a positive impact on hunting revenues, indicating opportunities for silvopasture practices. Those ranchers in Florida who maintain about 22% trees and other vegetation cover receive $16.15 per acre per year from hunting leases, but doubling the cover would generate only an additional $3.20 per acre per year.

The Nariva Swamp on the island of Trinidad in the Caribbean is being degraded due to increasing human activity. However, its conservation is desirable, as it is an internationally recognized wetland. The study examined an ecotourism project, with an emphasis on community participation, as a conservation approach to the Swamp, via benefit–cost analysis, where the benefits of conservation were measured by contingent valuation. Contingent valuation showed that the residents of Trinidad were willing to pay an average of $56 for conserving the Swamp. The analysis also showed that ecotourism represents an economically feasible use of ecologically fragile resources of this wetland.

Determining appropriate topics and target audiences is essential to design effective educational outreach programs. Based on landowner responses to a mail survey, we determined both the importance and the availability of wildlife and forest management information topics to Mississippi landowners. Combining this information clearly identified the appropriate subject matter for outreach programs—topics important to landowners and for which information was relatively unavailable. The importance of wildlife and forest management information relative to its availability depended on the region, land use patterns, and landowner characteristics, thus demonstrating which segments of the population should be targeted to maximize program impact.

We present a bioeconomic model of three invasive aquatic plants (hydrilla, water hyacinth, and water lettuce) in 13 large Florida lakes, and simulate one-year and steady-state impacts of three control scenarios. We estimate that the steady-state annual net benefit of invasive plant control is $59.95 million. A one-year increase in control yields steady-state gains of $6.55 million per year, and a one-year lapse causes steady-state annual losses of $18.71 million. This model shows that increased control of hydrilla, water hyacinth, and water lettuce is optimal.

The economic impact of wildlife-associated recreation in the Southeast United States was evaluated using a general equilibrium model. Exogenous demand shocks to the regional economy were based on estimates of expenditures by wildlife recreationists on hunting, fishing, and wildlife watching activities. Counterfactual simulations were carried out, making alternative assumptions about labor and capital mobility and their supply. Without wildlife-associated recreation expenditures, regional employment would have been smaller by up to 783 thousand jobs, and value added would have been $22 to $48 billion less. These findings underscore the significance of regional factor market conditions in economic impact and general equilibrium analysis.

A visitor's decision to use a particular recreational site is influenced by the individual's taste as well as the characteristics of the site. For this reason, improved knowledge of the visitors' interests and factors influencing their choices are vital for both planning and policy formulations in coastal development. This study examines visitor characteristics and desired site-specific characteristics in order to determine the factors affecting use of the Louisiana coast for specific recreational purposes. We use a multinomial logit model and internet survey data to evaluate the factors affecting individuals' decisions to visit coastal Louisiana for a specific use. Results suggest that the major variables affecting the choice of coastal recreational activities include environmental quality of the site, income, and travel time.