Substantial changes in the world wheat market have resulted in a shift in the market shares of the main wheat exporting countries. Since 2002, Kazakhstan, Russia, and Ukraine (KRU) have become important wheat exporters on the world market, and their pricing behavior has become a vital issue. By applying the pricing-to-market model to wheat exports, this study analyzes the price-discriminating behavior of KRU wheat exports from 1996 to 2012. The results demonstrate that KRU are able to exercise price discrimination in some importing countries, but in most they either face perfect competition or set common markups in imperfectly competitive markets.

This study evaluates attitudes toward production of three major types of biomass—corncobs, corn stover, and dedicated energy grass—using responses to a mail survey of 2,250 Iowa farmers. We examine how factors influencing willingness to supply biomass vary across biomass types and analyze the presence of potential correlations across interest in growing various types of biomass. We find that correlation in choices across biomass types is strong and statistically significant. Farmers consider corn stover and corncobs as complementary, but dedicated energy grasses and corncobs or stover as substitutes. Factors affecting farmer choices also vary significantly by type of biomass.

This article utilizes the 2011 Nielsen scanner data for the Honolulu fresh tomato market to explore the existence of price premium for local food. Hedonic analysis is conducted to delineate the price impact of the local attribute. Contrary to the widely perceived local price premium in the consumer preference literature, mixed results of price premiums and discounts are discovered for local tomato products. Additional investigation suggests that the prices of local tomatoes are likely influenced by seasonal output fluctuation. The limited market distribution capacity facing local producers may have contributed further to the retail discounting.

Pesticide applications are essential for peanut production to control insects, weeds, and other plant pathogens and for a profitable operation. We use a stochastic frontier analysis/primal system approach to test the hypothesis of the overuse of fungicides among peanut farmers. With nationally representative data available from the Agricultural and Resource Management Survey, we find evidence that U.S. peanut growers used excessive amounts of fungicides to prevent fungal infections. If those farmers adopt a new cultivar resistant to fungal pathogens, they could reduce the total cost of chemicals up to 36.2%. The reduction in fungicide use would have spillover environmental benefits.

Despite high employment rates and starting salaries for qualified graduates of agribusiness, agricultural, and applied economics (AAAE) programs, several AAAE departments have experienced years of low enrollment. This study offers insight into how AAAE programs can more effectively market themselves and recruit undergraduate students through analysis of a nationwide survey of college and department personnel and a statewide survey of high school students. Findings reveal important differences between students’ preferred information and message sources and those currently used. Gaps in understanding of AAAE across administrative units are also identified. Specific program awareness, marketing, and student recruitment recommendations are offered.

Meat goat producers were queried to determine subjective estimates of premiums they would receive for slaughter kids of various selection classes. Market-based predicted premium estimates were obtained via regression using published U.S. Department of Agriculture Agricultural Marketing Service data. Subjective versus market-based predicted premium estimates were compared to determine producer accuracy in predicting premiums. Producers tended to overestimate quality premiums. Producers more accurate in their estimates tended to be larger-scale and older and to hold college degrees, sell more slaughter goats via auction, and manage their goats more intensively. Results contribute to the literature on producer accuracy in predicting prices.