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.

This study examines the market drivers of corn monocropping in the U.S. Midwest by empirically analyzing crop rotation responses to market fluctuation from 2005 to 2014 and the price shock induced by the recent biofuel mandate. We find that the expected market returns for crops have a significant impact on farmers' decisions about monocropping. We also find that corn monocropping is loosely associated with the presence of nearby ethanol plants. This study illustrates the emerging use of high-resolution land cover data to tackle critical agribusiness and agro-environmental policy questions that remain elusive with aggregate data.

Technical efficiency for cotton growers is examined using both stochastic (SFA) and nonstochastic (DEA) production function approaches. The empirical application uses farm-level data from four counties in west Texas. While efficiency scores for the individual farms differed between SFA and DEA, the mean efficiency scores are invariant of the method of estimation under the assumption of constant returns to scale. On average, irrigated farms are 80% and nonirrigated farms are 70% efficient. Findings show that in Texas, the irrigated farms, on average, could reduce their expenditures on other inputs by 10%, and the nonirrigated farms could reduce their expenditures on machinery and labor by 12% and 13%, respectively, while producing the same level of output.

Prioritizing exotic or invasive pest threats in terms of agricultural, environmental, or human health damages is an important resource allocation issue for programs charged with preventing or responding to the entry of such organisms. Under extreme uncertainty, program managers may decide to research the severity of threats, develop prevention or control actions, and estimate cost-effectiveness in order to provide better information and more options when making decisions to choose strategies for specific pests. We examine decision rules based on the minimax and relative cost criteria in order to express a cautious approach for decisions regarding severe, irreversible consequences, discuss the strengths and weaknesses of these rules, examine the roles of simple rules and sophisticated analyses in decision making, and apply a simple rule to develop a list of priority plant pests.

Most of Southern California's wetlands have disappeared despite being critical ecosystems with many valuable attributes. Many of the wetlands that remain are in relatively urban areas, are severely degraded, and may not function properly. Using hedonic spatial error models, we measure the economic value of living near an urban multi-use wetland in Long Beach, California. Both sales prices and estimated values are used in the analysis. Results show that proximity to wetlands increases residential property values in the focus area. This analysis provides important information for policymakers to justify ongoing restoration projects and prevent further degradation of urbanized natural resources.

“Substantial downzoning” is defined as the exercise of police power to significantly reduce the legally permitted density on undeveloped land in a community. This contentious practice is typically challenged by those who perceive the action to limit their market opportunities (e.g., farmers and developers), their sympathizers, and others who prefer the status quo. Supporters tend to be those who perceive positive benefits (e.g., environmentalists, conservationists, and homeowners) and those who see it as a supplement to other preservation techniques, based on concerns over such things as growing public costs of land acquisition, limited effectiveness of existing alternatives, or the perceived urgency to act to manage growth.

Given the complexity of the issue and the lack of previous research, this paper develops a conceptual model of the public choice to “substantially downzone” and presents specific hypotheses to be empirically tested, using New Jersey as a case study. The probability of implementing substantial downzoning is found to increase with (i) the amount of open space that remains to be protected, (ii) declining farm population, (iii) recent growth in non-farm population, (iv) recent growth in land values, and (v) the presence of alternative growth management tools. Results also suggest its use as a substitute for other preservation tools when the financial and/or political ability of communities to afford other approaches is limited. Hence, the likelihood of substantial downzoning may increase over time if alternatives become more difficult to implement.

A conceptual model links agricultural profits, capital gains, interest rates, and property taxes to the sale of agricultural land by profit-maximizing owners. The model motivates an empirical analysis of New Jersey data from 1949 to 1990. Results suggest that nonagricultural considerations may overpower the economic incentives provided by such policies as farmland assessment. Consequently, alternative policies (e.g., purchase of development rights and land use zoning) may be needed to sustain agriculture in rapidly urbanizing areas.

This study examines the factors that determine the likelihood of submitting a potentially fraudulent prevented planting claim. A theoretical model is developed and the theoretical predictions are empirically verified by utilizing a binary choice model and crop insurance data from the southern United States. The empirical results show that insured producers with higher prevented planting coverage, lower dollar value of expected yield, and a history of submitting prevented planting claims are more likely to submit an anomalous prevented planting claim. The empirical model also suggests revenue insurance plans may be more vulnerable to prevented planting fraud than the traditional yield-based insurance plan. Results of this study can be valuable to compliance offices in their efforts to find “indicators” of fraudulent behavior in crop insurance, especially with regard to prevented planting.

We examine how changes in yield variability affect the welfare of cereal grain and oilseed buyers and producers around the world. We simulate trade patterns and welfare for 21 countries with a Ricardian trade model that incorporates bilateral trade costs and crop yield distributions. The model shows that world trade volumes would need to increase substantially if crop yield variability were to rise. Net welfare effects, however, are moderate so long as countries do not resort to policies that inhibit trade, such as export restrictions or measures to promote self-sufficiency in crops. Low-income countries suffer the most from increases in yield variability, due to higher bilateral trade costs and lower-than-average productivity.

Arkansas ranks first in broiler production in the USA with more than a billion broilers and 1.5 million tons of litter produced in 1993. Transporting litter from western to eastern Arkansas can accomplish two goals: 1) avoid potential threat to clean water in western Arkansas and 2) can increase productivity of graded lands in the Delta. This paper examines the feasibility of litter transport from areas of high poultry concentrations to the Delta for use as a soil amendment. We establish the conditions for economical litter transport from source to destinations and determine the optimal rates of litter applications. The results suggest that it is economical to transport significant portions of litter.

The method of computing wealth shares accruing to lowest and highest quintiles, along with the concepts of the Lorenz curve and the Gini coefficient, are used in conjunction with data from the 1996 and 1999 Agricultural Resource Management Study (ARMS) survey to measure the distribution of wealth among U.S. farm operator households. Findings show that the distribution of wealth in 1996 was slightly more concentrated than in 1999, with the farm wealth component contributing significantly more toward measured concentration in both years than the nonfarm wealth component. The robustness of the findings under varied value judgments concerning society's level of aversion to wealth concentration is also examined.

A qualitative ranking method, Q methodology, was used to assess stakeholder priorities for socioecological services derived from coastal marshes and communities. The goal was to reveal strength of concerns for and tradeoffs among effects of coastal resilience strategies. Factor analysis identified three perspectives that formed a spectrum from high to low priorities on intangible services. Academic and government stakeholders were more likely than local residents to prioritize intangible services, but stakeholder views were diverse. A collaborative learning process promoted some alignment of views and academics showed the most movement – towards residents’ perspectives. Q-sort appeared effective at efficiently synthesizing broad concerns.

Understanding willingness to harvest (WTH) is essential to assessing the social availability of woody biomass from private land. Currently, the only economically feasible way to harvest woody biomass is in conjunction with sawlogs. We examined WTH sawlogs and woody biomass from owners of family forests using data from a survey of Missouri forest owners. While their WTH increased with revenue expected from woody biomass, revenue expected from sawlogs was a stronger influence. Incentive payments for woody biomass thus are unlikely to increase its supply, and the social availability of woody biomass will remain limited unless sawlog prices rise significantly.

This study explored factors influencing consumers' beverage consumption. Consumers drank greater shares of beverages perceived as healthy and, in most cases, drank smaller shares of a beverage when they perceived alternative beverages as more healthy. One exception was carbonated sugar-sweetened beverages; the share of their consumption increased as health perceptions of 100 percent juice increased and vice versa. Another important determinant of beverage consumption share was objective and subjective health knowledge. Beverage drinking habit, which was measured by whether a beverage was consumed daily or weekly, was the most significant factor in explaining a beverage's diet share.

In understanding decreases in demand after exposure to media-induced food scares, aggregate data are almost exclusively presented without taking into consideration potential confounding variables. However, a better approach may be to use an experimental design coupled with targeting homogeneous willingness-to-pay (WTP) subgroups based on similarities in behavioral, psychological, and demographic characteristics of those who are most vulnerable to food scare information. This is accomplished through experimental economics and an analysis strategy called a classification and regression tree (CART). A stigma framework—which guides conceptual understanding of effects of media-induced food scares—suggests controlling contextual variables to better approximate ceteris paribus. To this end, we conducted an experiment that exposed people to information about mad cow disease and then asked them to bid their willingness-to-pay for an actual hamburger. The CART found distinct homogeneous WTP subgroups of individuals that could be used by government and industry professionals to create interventions to reduce potential consumer concern and producer losses.

Operating cost efficiency is evaluated on Pennsylvania dairy farms using a modification of the Farrell efficient unit isoquant frontier method. Evaluating farms by herd size groups, the average measure of cost efficiency ranged from 70 to 80 percent. Farms with larger herds were more homogeneous in efficiency than farms with smaller herds. Regression analysis was used to evaluate for differences in cost efficiency by herd size group.

Latent class analysis is applied to a hedonic price model to examine the presence of heterogeneity in consumer valuation of quality attributes in the Beninese rice market. Three classes of consumers are found in proportions of 5, 56, and 39 percent. We employ a partial equilibrium model and find modest gains in consumer surplus from an increase in head rice and reduction in chalkiness. The results provide evidence of market sorting, which should be taken into consideration in upgrading rice value chains. Also, it is important to assess potential gains from quality improvement to determine priorities for research and development.

This study extends the joint estimation of revealed and stated preference data literature by accounting for truncation in the revealed preference data. The analytical model and estimation procedure are used to estimate the value of recreational red snapper fishing in the Gulf of Mexico. This recreational red snapper valuation is decomposed into its direct and indirect components. As expected, the value of recreational red snapper fishing using the joint revealed-stated preference model proposed in this analysis is bracketed on the upper limit by the value obtained using the contingent valuation method and on the lower limit by the travel cost method. The results also indicate that the joint model improves the precision of estimated recreational red snapper valuation.

A growing body of literature demonstrates that many behavioral anomalies observed in stated-preference elicitation methods such as the contingent valuation method are also observed in actual choices and vice versa. This presentation furthers the argument that such parallel behaviors should be viewed as a strength of stated-preference methods. Three well-known anomalies observed in both stated preferences and actual choices are first reviewed to lay the foundation for this argument. A number of lesser-known anomalies are then presented to demonstrate the wider prevalence of parallel anomalies in stated preferences and actual choices.

Social desirability (SD) represents the problem of subjects responding with social norms rather than individual values. This paper briefly surveys the SD literature and considers its relevance for contingent valuation (CV) studies. In an empirical study, undergraduate students were administered the Mariowe-Crowne Social Desirability Scale, as well as CV questions. High SD scores were hypothesized to imply a greater likelihood of offering a protest reason for a zero bid and to increase bids for socially desirable commodities. While all hypotheses were not supported, the empirical results suggest that SD can influence CV responses and should not be dismissed prematurely.