While there is mixed evidence of the impact of food assistance programs on obesity, there is general agreement that the food-insecure are at higher risk of obesity and obesity-related diseases. Food assistance programs, originally designed to overcome a lack of available food, now need to confront a very different problem: how to provide for the food-insecure while encouraging healthy lifestyles. This paper examines the potential to address these competing needs using traditional economic policies (manipulating information or prices) versus policies engaging behavioral economics and psychology.

The United States regulates deliberate species introduction by blacklists: any species not blacklisted may be imported. Half of invasive introduced species were deliberately introduced, yet most were not blacklisted, so this system is not working. White lists are also needed: no species can be deliberately introduced unless experts place it on a white list. The United States has not closed pathways for inadvertent introductions, which are regulated by international treaties. Risk assessments for introduced species have mostly targeted species as potential vectors for pathogens rather than as potentially invasive themselves. Although multilateral treaties mandate quantitative risk assessments for exclusions of species or goods that may carry them, biologists and economists can predict probabilities of invasiveness, and associated costs, only with enormous confidence limits. However, assessing risk can lead to insights on the likelihood of impact. The crucial decision will be to what extent the precautionary principle will be implemented. An added problem is that species established in parts of the United States (either native or introduced) have become invasive when introduced elsewhere in the United States. There is scant legal basis for preventing such introductions. To stem the flood of invasive species into and within the United States would require blacklists, a white listing procedure, and tighter regulation of pathways.

This paper examines grocery retailers' ability to influence prices charged to consumers and paid to suppliers. We discuss how retailer market power manifests itself in terms of pricing and marketing strategies by setting forth and offering evidence in support of eight “stylized facts” of retailer pricing and brand decisions. We argue that little, if any, of this behavior can be explained by a model of a competitive, price-taking retailer, but that most of the indicated behavior was also inconsistent with traditional models of market power. Finally, we discuss the impacts of aspects of this retailer behavior on the upstream farm sector.

This article documents the need for reform of milk pricing in the Northeast. The New York price gouging law can be recast as a fair share law. This new milk policy “kills two birds with one stone.” It corrects regional inequities in raw milk pricing by reforming the pricing of milk at retail by limiting and redistributing excessive retail margins to farmers and consumers. The fair share policy relieves allocative price inefficiency, improves the performance of the federal milk market order pool, and improves the general performance of the Northeast dairy farming and fluid milk industries.

This paper reviews recent work examining two topics of economic research vital for invasive species policy—integration and valuation. Integration requires bioeconomic models that blend invasive biology with economic circumstances and the feedback loops between the two systems. Valuation requires nonmarket valuation associated with human and environmental damages posed by invasive species. We argue for a second-level of integration in invasive species economics—valuation based on integration models. Policy prescriptions based on integration models need valuation work; valuation surveys need integration models—the two are complements. Valuation could be enhanced with integration in mind; integration could be made better with valuation in mind. An example from blending the two research areas is presented and its merits demonstrated.

The prevention of invasive species is modeled as a “weaker link” public good. Under the weaker link aggregation technology, individual contributions beyond the lowest level will provide benefits, but these benefits progressively decline as contributions exceed the minimum. A two-region model is constructed, assuming incomplete information concerning costs of provision. This framework allows us to explain why we observe underinvestment in prevention, how information facilitates efficiency, and under what conditions information is most relevant. Specific implications regarding improved invasive species prevention policy are extracted and discussed.

This paper uses Theil's (1979) entropy-based measure of inequality and farm-level data to examine changes in farm business wealth (farm equity) of farm households. The farms associated with farm households are grouped by state into ten regions of the United States. The Theil entropy measure is then calculated and used to decompose total inequality of farm wealth into within-state and across-states (between states) inequalities for each region. Results show that since the enactment of the 1996 Federal Agricultural Improvement and Reform (FAIR) Act, inequality in farm wealth among farms within a state has decreased relative to the number of farms per state, across all regions. Further, most of the reduction in farm wealth inequality is attributed to increased equality in the distribution of real estate assets of the farm households, a major component of farm wealth.

Perron's test, Johansen cointegration analysis, and a vector error-correction (VEC) model are used to identify structural change, as well as to examine price dynamics in the U. S. and Canadian hard red spring (HRS) and durum wheat markets. It is found that, due to the U. S. Export Enhancement Program (EEP), price instability experienced in June 1986 has resulted in structural changes for Canadian HRS and durum prices. We also find that Canadian prices have significant effects on the determination of the U. S. prices in the North American wheat market.

We present a conceptual, but empirically applicable, model for determining the optimal allocation of resources between exclusion and control activities for managing an invasive species with an uncertain discovery time. This model is used to investigate how to allocate limited resources between activities before and after the first discovery of an invasive species and the effects of the characteristics of an invasive species on limited resource allocation. The optimality conditions show that it is economically efficient to spend a larger share of outlays for exclusion activities before, rather than after, a species is first discovered, up to a threshold point. We also find that, after discovery, more exclusionary measures and fewer control measures are optimal, when the pest population is less than a threshold. As the pest population increases beyond this threshold, the exclusionary measures are no longer optimal. Finally, a comparative dynamic analysis indicates that the efficient level of total expenditures on preventive and control measures decreases with the level of the invasive species stock and increases with the intrinsic population growth rate, the rate of additional discoveries avoided, and the maximum possible pest population.

The case of reduction in ad valorem tariffs as a trade liberalization policy is considered in this article. It is shown that the reduction leads to a higher quality of imports, ceteris paribus. This hypothesis was tested on the case of Japanese beef imports from the United States and Australia. U. S. beef, according to the results of Gallup surveys, is considered by Japanese consumers to be a high quality product, while Australian beef is considered to be a low quality product. Empirical results support the hypothesis. Moreover, the recent domination of U. S. beef in the Japanese market is further explained by increasingly more efficient U. S. beef production relative to Australian production and a strong income effect, where an increase in per capita income leads to more demand for higher quality products.

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.

Pest-free status certification is desirable if the demand-side impacts (increased export revenue) and supply-side impacts (lower pest damage and decreased ongoing control costs) exceed the compliance monitoring and eradication costs. Thus, eradication may be optimal without certification. Certification is more likely for regions facing costly treatment requirements (bans) or possessing geographic traits that lower monitoring costs and infestation probabilities than for those exporting higher-valued products. Certification benefits producers but hurts consumers. Thus, political feasibility may be greater if domestic consumption is a small share of the market and if the additional tax burden of certification programs is light.

The main objective of this research is to compare estimates of technical efficiency obtained from the stochastic frontier approach for two samples of farmers of private and water user associations in the Nefzaoua Oases region (Tunisia), which are characterized by a severe scarcity of water and especially a high degree of salinity. Technical inefficiency effects are modeled as a function of farm-specific socioeconomic factors. Results suggest that both systems are technically inefficient. On average, the private system is found to be slightly more efficient than the associative one. Date yield could be explained mainly by four variables: water quantity applied per palm tree, labor per palm tree, phosphate per palm tree, and water salinity. Output elasticities of all inputs are found to be positive and significant except for the farmyard manure. Water salinity has a considerable negative impact on date productivity. For the technical inefficiency model, none of the socioeconomic variables seem to matter.

This study analyzes U. S. consumers' choice of cornflakes under five different labeling statements. Using a nationwide survey and choice modeling framework, results indicate that consumers value labeling statements differently, depending on the information contained on the label. The random parameter logit model results indicated that, compared to cornflakes that have no label information, cornflakes labeled “contains no genetically modified com” have a value of 10 percent more, the label “USDA approved genetically modified com” has a value of 5 percent more, and the label “com genetically modified to reduce pesticide residues in your food” has a value of 5 percent more. The results also suggest that consumers negatively valued the label “contains genetically modified com,” paying 6.5 percent less, and the label “may contain genetically modified com,” paying 1 percent less than the product that has no label information.

Invasive species change ecosystems and the economic services such ecosystems provide. Optimal policy will minimize the expected damages and costs of prevention and control. We seek to explain policy outcomes as a function of biological and economic factors, using the case of Hawaii to illustrate. First, we consider an existing invader, Miconia calvescens, a plant with the potential to reduce biodiversity, soil cover, and water availability. We then examine an imminent threat, the potential arrival of the Brown treesnake (Boiga irregularis). The arrival of the snake in Guam has led to native bird extirpations, power outages, and health costs.

Wheat types may be classified according to strength, a baking characteristic. Since the demand for wheat is derived demand, the baking characteristic is directly related to end use. Accordingly, the wheat classes that are used in this study are divided into sub-groups according to strength, that is, strong, medium, and weak wheats. Time-series methods are employed to determine how the different classes of wheats are related within each sub-group. The different wheats under the different sub-groups are found to be substitutes to various degrees, but form a robust cointegrating relationship, implying that the wheat prices in these markets are bound together by a long-term equilibrium relationship. Within each of the sub-groups, the U.S. wheats were found to act as a price leader, driving the prices of other wheats belonging in the same sub-group. These U. S. wheats were found to form no long-run relationship between each other given their distinct end uses. The study highlights the importance of differentiating wheat by end use to specify price linkages more accurately.

This paper presents a bioeconomic model of a commercial fishery facing biological invasion by an alien species acting as a space competitor for the native species. The model is illustrated in a case study of the common scallop fishery of the Bay of St-Brieuc (France), where biological invasion by a slipper-limpet (Crepidula fornicata) is now addressed by a control program. First we present the model, which combines the dynamics of the two competing stocks. We then use the model to analyze the equilibrium of the fishery under various assumptions concerning invasive species control, and to assess the social cost of the invasion. Finally we propose a set of dynamic simulations concerning the ongoing program, emphasizing the influence of its starting date on its overall economic results.

Agricultural policymakers place increasing emphasis on developing efficiency measures for organic producers in order to evaluate regulatory strategies and evolving organic market conditions. We develop technical efficiency measures for U. S. organic farmers using a stochastic production frontier. Farm decisions about acquiring and managing organic soil materials from on-farm and local sources are incorporated into the technical efficiency measure. Productivity differences between newer entrants to organic farming and more experienced producers are estimated in order to isolate the impact of learning and management expertise on farm-level technical efficiency.

A conceptual bioeconomic framework that integrates dynamic epidemiological-economic processes was designed to analyze the effects of invasive species introduction on decision making in a livestock sector (e.g., production and feeding). The framework integrates an epidemiological model, a dynamic livestock production model, domestic consumption, and international trade. The integrated approach captures producer and consumer responses and welfare outcomes of livestock disease outbreaks, as well as alternative invasive species management policies. Scenarios of foot-and-mouth disease are simulated to demonstrate the usefulness of the framework in facilitating invasive species policy design.