In 1967, a group of resource and environmental economists from across the nation got together under the auspices of the United States Department of Agriculture (USDA) to form a multistate collaborative research project. The goal of this research initiative was to bring together natural resource and environmental economists from across land grant and non-land grant institutions in order to advance natural resource benefit and cost methods, collect primary data on pertinent natural resource policies, and develop applications for extending the usefulness of primary data on the benefits and costs of natural resource policy. Initially given the USDA project identification number WM-59, the Western Regional Research Project: Benefits and Costs of Natural Resources Policies Affecting Public and Private Lands has been a productive intellectual, professional, and policymaking endeavor for more than forty-two years. While the project indentifying moniker has been changed from time to time (from WM-59 to W133 to W1133 to W2133) and there has been the loss, sometimes untimely, of project participants over the years, the group continuously provides opportunities for some of the nation's most engaged resource and environmental economists to work together, share their ideas, provide feedback and support, and advance the state-of-the art in valuation methods and applications.

Over the past three decades or so, emissions trading has evolved from an idea that was little more than an academic curiosity to its current role as the centerpiece of the U.S. program to control acid rain and international programs to control greenhouse gases. This essay identifies some of the key milestones of this evolution, describes how that evolution was shaped by economic analysis, elicits some of the lessons about the design and effectiveness of emissions trading that have emerged from analysis of that evolution, and points out a few of the barriers that lie in the path of achieving a truly global carbon market.

The assumption of independence of irrelevant alternatives in a sequential contingent valuation format should be questioned. Statistically, most valuation studies treat nonindependence as a consequence of unobserved individual effects. Another approach is to consider an inferential process in which any particular choice is part of a general choosing strategy of a survey respondent. A stochastic model is suggested, consistent with the reflexivity, transitivity, and continuity axioms of utility analysis. An application of this theoretical model to the valuation of watershed ecosystem restoration demonstrates that an empirical model recognizing reflexivity and transitivity, and also allowing for continuity, shows the highest in-sample predictive ability.

We illustrate the experimental method by examining bidding behavior for controversial goods, i.e., goods in which bidders have positive and negative values. Our results suggest that bidding behavior differs across auction type. Bidders with positive induced values bid sincerely in a WTP auction. Bidders bid conservatively, however, in the WTA auction, foregoing profitable opportunities. Informing bidders of their optimal strategy serves to attenuate bidding discrepancies but does not eliminate them. Treating the WTP and WTA auctions as equivalent given positive and negative values could lead one to overstate the costs relative to the benefits of the controversial good.

This paper surveys the literature on pollinator declines and related concerns regarding global food security. Methods for valuing the economic risks associated with pollinator declines are also reviewed. A computable general equilibrium (CGE) approach is introduced to assess the effects of a global catastrophic loss of pollinators. There appears to be evidence supporting a trend towards future pollinator shortages in the United States and other regions of the world. Results from the CGE model show economic risks to both direct crop sectors and indirect noncrop sectors in the economy, with some amount of regional heterogeneity.

The laboratory provides a test bed to inform many design choices for emissions permit markets. Experiments are sometimes strongly motivated and structured by specific theoretical models and predictions, but in other cases the experiment itself can be the model of the market and regulatory environment. We review specific experimental applications that address design issues for permit auction rules, permit expiration dates and banking, liability rules, and regulatory enforcement.

This paper demonstrates how corner solutions raise difficulties for the specification, estimation, and use of incomplete demand systems for welfare measurement with disaggregate consumption data, as is common in the outdoor recreation literature. A simple analytical model of consumer behavior is used to elucidate the potential biases for welfare measurement arising from modeling the demand for M goods as a function of M + N prices (N > 1) and income when individuals do not consume all goods in strictly positive quantities. Results from a Monte Carlo experiment suggest that these biases can be substantial for large-scale policy shocks when prices are highly correlated.

The notion of industrialized agriculture has been a dominant theme in the applied economics literature. More recently, the debate has entered the realm of organic agriculture, with some suggesting that the organic sector has strayed from its agrarian roots. The terms “industrial” and “agrarian” are widely used, yet few have given precise definitions of what the terms mean. This paper puts forth testable hypotheses for agrarian and industrial agriculture. Then, using census data from the 2008 Organic Production Survey, we examine the evidence to assess whether the organic farm sector fits an agrarian or industrial model. Overall the evidence is mixed, yet suggests that the organic sector is less agrarian than expected.

Willingness to pay (WTP) estimation typically involves some strategy for mapping nondichotomous contingent valuation (CV) responses onto a dichotomous yes/no dependent variable. We propose a new approach to selecting which responses qualify as ‘yes.’ We apply the proposed method to polychotomous CV data for preventative land management programs in the Great Basin. We also estimate WTP using other methods of response recoding found in the literature. By contrasting the results under different approaches, we demonstrate how and why WTP point estimates vary across recoding methods and discuss the comparative advantages of our more generalized recoding approach that is based on predicted probabilities of ‘yes’ responses.

The direct sale of emission allowances by auction is an emerging characteristic of cap-and-trade programs. This study is motivated by the observation that all of the major implementations of cap-and-trade regulations for the control of air pollution have started with a generous allocation of allowances relative to recent emissions history, a situation we refer to as a “loose cap.” Typically more stringent reductions are achieved in subsequent years of a program. We use an experimental setting to investigate the effects of a loose cap environment on a variety of auction types. We find that all auction formats studied are efficient in allocating emission allowances, but auction revenues tend to be lower relative to competitive benchmarks when the cap is loose. Regardless of whether the cap is tight or loose, the different auction formats tend to yield comparable revenues toward the end of a series of auctions. However, aggressive bidding behavior in initial discriminatory auctions yields higher revenues than in the other auction formats, a difference that disappears as bidders learn to adjust their bids closer to the cut-off that separates winning and losing bids.

During the farm crisis of the 1980s we began to better understand the inherent faults of an industrialized food system. Despite large gains in productivity, efficiency, and economies of size, thousands of farms were in foreclosure. Many farmers were overly extended in debt. Others were in trouble because of a combination of factors such as drought, low crop prices, high input prices, and the lack of competition in the marketplace. The end result was the loss of thousands of farmers and a subsequent decline in many rural communities.

At the same time, a new vision of an enduring agriculture emerged. It was called sustainable agriculture. This new paradigm became attractive because it focused on solutions to the problems of the day. Sustainable agriculture offered hope to farmers that were willing to differentiate their product and add value to it, deal with ecological costs by using sustainable best management practices, and work to create equity in food system employment. Forming new links with consumers is enabling farmers to set their prices, and consumers are willing to pay to know more about their food.

The extent of forage purchasing behavior in milk production and its impact on profitability are analyzed using data from the 2000 and 2005 dairy versions of the Agricultural Resource Management Survey. Forage outsourcing is more common with hay than with silage and haylage, and is more prevalent in the western United States. Though silage and haylage outsourcing is found to impact profitability, the major profitability drivers appear to be farm size and efficiency. Evidence of significant forage contracting is found in the western United States.

The effective design and implementation of interventions that reduce vulnerability and poverty require a solid understanding of underlying poverty dynamics and associated behavioral responses. Stochastic and dynamic benefit streams can make it difficult for the poor to learn the value of such interventions to them. We explore how dynamic field experiments can help (i) intended beneficiaries to learn and understand these complicated benefit streams, and (ii) researchers to better understand how the poor respond to risk when faced with nonlinear welfare dynamics. We discuss and analyze dynamic risk valuation experiments in Morocco, Peru, and Kenya.

The Truckee/Carson/Walker River watershed in northern Nevada is under an imminent threat of infestation by the New Zealand mud snail, an aquatic nuisance species with the potential to harm recreational fisheries. We combine a utility-theoretic system-demand model of recreational angling with a Bayesian econometric framework to provide estimates of trip and welfare losses under different types of regulatory control policies. We find that such losses can be substantial, warranting immediate investments in preemptive strategies via public outreach and awareness campaigns.

This paper examines heterogeneity in the preferences for OHV recreation by applying the random parameters Poisson model to a data set of off-highway vehicle (OHV) users at four National Forest sites in North Carolina. The analysis develops estimates of individual consumer surplus and finds that estimates are systematically affected by the random parameter specification. There is also substantial evidence that accounting for individual heterogeneity improves the statistical fit of the models and provides a more informative description of OHV riders.

Using an augmented profit function framework designed to account for externalities related to chemical use in agriculture, this paper explains the chemical use choices of farmers in an urban fringe farming environment. It further estimates empirical logit models of reduced insecticide, fungicide, herbicide, and fertilizer usage. Results suggest that farmers who perceive their regulatory environment to be strict, who have experienced right-to-farm conflicts, and who have farms larger in size are more likely to reduce their chemical use over time, vis-à-vis other farmers. The results also suggest the importance of other farm structural and business climate factors in determining chemical use reduction choices.

The introduction of a centralized institution for trading production rights in quota-regulated agricultural sectors can dramatically improve the flow of information among market participants and increase efficiency. On the other hand, prevailing conditions in these small markets can provide sellers with a market advantage, yielding high quota prices that impose important financial costs on quota holders and limit the entry of new producers into the industry. In this paper, we modify the normal allocation rule of the k-double auction (kDA) to counter thin market conditions and to favor buyers who bid low prices. In laboratory experiments, we test the “truncated” kDA (T-kDA) against a regular kDA for its ability to affect buyer and seller behavior and decrease equilibrium prices, and assess how it impacts efficiency. The results show that the T-kDA significantly lowers the equilibrium price and results in moderate efficiency losses. Most importantly, the T-kDA effectively counters the market power of oligopolists when demand far outstrips supply.

Off-highway vehicle (OHV) use is a rapidly growing outdoor activity that results in a host of environmental and management problems. Federal agencies have been directed to develop travel management plans to improve recreation experiences, reduce social conflicts, and diminish environmental impacts of OHVs. We examine the effect of land access restrictions on the welfare of OHV enthusiasts in Utah using Murdock's unobserved heterogeneity random utility model (Murdock 2006). Our models indicate that changing access to public lands from fully “open” to “limited” results in relatively small welfare losses, but that prohibiting access results in much larger welfare losses.

The primary objective of this study was to assess the impact of catfish imports and tariffs on the U.S. catfish industry, with particular focus on the U.S. International Trade Commission ruling on Vietnam in 2003. Given the importance of Vietnam to the U.S. catfish market, it was assumed that catfish import prices would increase by 35 percent if the maximum tariff was imposed on catfish from Vietnam. With the tariff, domestic catfish prices at the wholesale level would increase by $0.06 per lb, and farm prices by $0.03 per lb. Processor sales would increase by 1.66 percent. Total welfare at the wholesale level would increase from $69.2 million to $71.7 million, an increase of about 3.63 percent, and processor and farm revenue would increase by 4.4 percent and 5.8 percent, respectively. These results represent the greatest possible benefit and suggest modest gains for the U.S. catfish industry.