The U.S. export share in the world peanut market has decreased due to heavy competition. In this paper, the Latin American peanut industry is modeled using seemingly unrelated regression (SUR). Based on these estimations, a scenario analysis was conducted. The results show that the Latin American demand is not affected dramatically by either domestic or world price shocks. The effects of price changes on net trade are noticeable. However, the world price does not significantly affect the Latin American peanut supply. The results imply that Latin American peanut farmers are more sensitive to changes in domestic prices than world price changes.

Farmers and taxpayers would benefit from more cost-effective agricultural nutrient pollution control measures. The objectives of our study are (1) to assess compliance costs and reductions in phosphorus loadings from implementation of nutrient management and riparian buffers; and (2) to estimate how the spatial scenario, which is the method of representing farms within the watershed, affects estimated compliance costs and reductions in phosphorus deliveries. Estimated compliance costs are quite sensitive to the spatial scenario. Buffers are more cost-effective than nutrient management under one of the two spatial scenarios, whereas nutrient management is more cost-effective under the other scenario. Shifts to more erosive crops reduce the effectiveness of both pollution control measures.

Farmland reallocation between farmers through rental transactions is critical for improving Japanese rice productivity. This study examined effects of socio-institutional and emotional factors as well as economic factors on rental transactions. A stochastic choice model was applied to contingent valuation data by considering regional heteroscedasticity. Empirical results showed (1) existence of economic inefficiencies, 3% loss of economic surplus due to socio-institutional restriction, which is probably reflected in transaction costs; (2) a 15% reduction in surplus due to emotional reluctance of farmers; and (3) strong influences of rice price, wages, and geographical location on the rental rate and agreement level.

This paper examines productivity of a sample of grain marketing and farm supply cooperatives from 1990 to 1998. The cooperative industry's productivity or growth was mainly due to improvement in technology rather than improvement in pure efficiency or scale. The cooperative industry's productivity was primarily associated with the grain, fertilizer, and agrochemical product lines. Policies that raise fertilizer prices would encourage a cooperative to be technically more productive. In general, policies that raise prices of grain, fertilizer, and agrochemicals would encourage a cooperative to be more productive overall.

The nature of credit risk assessment and basis of loan approval decisions of the Farm Service Agency are analyzed in the aftermath of the black farmers' 1997 class action suit against the U.S. Department of Agriculture. This study did not uncover convincing evidence of racial discrimination against nonwhite borrowers under a binomial logistic framework based on the probability of a loan application's approval. Moreover, the collective use of more stringent and objective credit-scoring measures usually employed by commercial lenders is less evident in the Farm Service Agency's evaluation of loan applications.

Value-based marketing is shaping cattle production; however, market signals differ dramatically depending on carcass quality. This study applies a two-stage coefficients of separate determination procedure to four regional fed cattle datasets sorted by grid value and by carcass quality attributes. Weight is the strongest signal sent when higher valued cattle and better quality cattle are sold on a grid. Quality characteristics send stronger signals when lower valued cattle and poorer quality cattle are sold on a grid. Producers of lower quality cattle can potentially gain $52 to $149 per head by improving quality and $113 to $150 per head by adding weight.

In this study we found that Japanese consumers value the conventional health claim “low in saturated fat” more than the relatively newer claims, such as “high in oleic acid.” In addition, consumers do not prefer oil with genetically modified ingredients or oil that is not domestically produced, but they are willing to pay extra for “organic” or “functional food” features. We also found that the scope and source of information on these credence attributes may also affect consumers' choices and willingness to pay and that the effects may not be completely consistent with what one would expect.

The influence product markets, agglomeration, labor, infrastructure, and government fiscal attributes had on manufacturing investment flows in Indiana between 2000 and 2004 were estimated using Poisson regression, geographically weighted regression, and a spatial general linear model. Counties with access to urbanization economies, product markets, available labor, a high-quality workforce, and transport infrastructure were more likely to attract manufacturing investment. These effects were magnified to some extent when inter-county spatial effects were modeled. The distributional assumptions of the spatial models are different, but both methods are useful for understanding the spatial context of the factors influencing manufacturing investment flows.

Human resource management in agriculture and associated risks are under-researched topics. To identify the sources of human resource management risks confronting dairy farms, gain insights into how dairy farmers perceive the impacts of these risks, and identify control strategies, four focus group discussions were held with dairy farm managers. Managers' perceptions served to develop a framework for the analysis of human resource management risks in agriculture and derive recommendations for reducing these risks. Results of this study have been used to tailor educational programs for farmers and suggest strategies for future research.

I develop a two-country theoretical trade model to show that Canadian subsidies increase lumber supplies and exports to the United States, and the U.S. retaliatory tariff raises U.S. prices and safeguards producers, but hurts consumers. These results underscore the shortsightedness of policy decisions in a bilateral trade dispute, as empirical results from the multiregional spatial equilibrium trade model highlight that both countries pursue myopic policies without taking into account the reactions of other exporters and importers. For instance, after the imposition of U.S. tariffs, other exporters grab the market share lost by Canada in the United States, while Canada augments its exports to other importers.

Exploratory factor analysis was used to identify approaches to farm management based on a list of management questions posed to a sample of U.S. cash-grain farmers. Three approaches were identified by the factor analysis: price negotiation, long-term cost control, and input adjustment. Estimated factor scores regressed against farm and operator characteristics indicate a profile of producers using each approach that is closely related to stage-of-life of the farm operator and farm business. In addition to operator age and planning horizon, operator risk preference and farm organization and location were other important determinants of the approach to management.

This study analyzes the value of agricultural research to Florida by examining the effect of research spending on agricultural productivity, as measured by a total factor productivity index, and profitability, as measured by net farm income. Results suggest that research expenditures do increase agricultural productivity in the state. However, agricultural productivity does not affect net cash income. Further, the economic rents to the productivity gains do not accrue to land values. Instead, the economic value of research innovations accrues more to consumers than to producers. Thus, consumers are the ultimate beneficiaries of agricultural research in Florida, thereby justifying public funding for agricultural research.

This article examines the economics of groundwater irrigation and shallow tubewell (STW) ownership decision making, using farm-level data collected from 324 households in Nepal. STW irrigation generated a significant positive effect on rice yield and farmers' incomes. Based on a probit model, the farm size, land fragmentation, access to electricity, and access to credit were found to significantly influence farmers' decisions to own STWs. Although the water market benefited poor farmers, it is too small and monopolistic. Policy reforms needed to make groundwater accessible to the poor majority include effective credit programs, investments in rural electrification, and public sector support for promoting suitable pumping technologies.

The contingent valuation method was used to elicit Japanese consumers' willingness-to-pay for genetically modified organism (GMO) segregation programs. The results revealed that most consumers pay nonnegligible premiums for products produced under strict GMO-segregation programs. However, we found that the premium did not vary by the threshold level of GMO content in the product. We further found that a government certification did not increase the premium for GMO-segregation programs. Therefore, an additional mandatory regulation to reduce GMO contaminations would not be worthwhile because such a regulation would incur substantial enforcement costs.

In the article, stochastic frontier analysis of peanut-production efficiency in the Southeastern region of the United States is conducted with a view of assessing the likely farm-level impacts of the 2002 Farm Act. Results indicate that, although quota ownership did not significantly impact inefficiency, it is likely that limitations on the quota's transferability to areas with better growing conditions were a significant cause of inefficiency. The acreage shifts and improved yields following the passage of the 2002 Farm Act support this conclusion. Certain farm characteristics, such as farm size and operator's education and age, were also important for efficiency.