Delineation of geographic markets for fed cattle is essential in monitoring price behavior and determining geographic markets. This study uses transactions data from 28 U.S. fed cattle slaughter plants to determine the extent of the geographic market for fed cattle. Results indicate a national market for fed cattle with prices across most plants cointegrated. In addition, price discovery originates predominantly at plants located in Nebraska, and typically one-third of the total price adjustment to spatial integration occurs in one day.

Recently many state and federal agencies in the U.S. have embraced an ecosystems management approach to environmental protection and regulation. This approach requires a high degree of cooperation between natural and social scientists to translate policy objectives into research hypotheses, models, and evaluation procedures to guide implementation decisions. An adaptive procedure to guide interdisciplinary research is described and illustrated with highlights of recent progress and pitfalls from the restoration initiative for the Everglades/South Florida ecosystem.

This study focuses on least-cost farm-to-mill cotton cleaning configurations employing survey, regression, and simulation techniques. The resulting least-cost cotton cleaning configurations, employing standard textile technology, included the use of one lint cleaning in the ginning stage. The use of a field cleaner in the harvesting stage was also found to be optimal with some variation based on the desired yarn quality. Results of the study indicated that the optimal cleaning configurations were distinctly different from currently used practices, such that appropriate changes could save the cotton industry between $0.30 and $0.60 per bale of cotton, depending on the desired yarn quality.

Research has developed empirical models and procedures for analyzing factors which influence rural land markets; however, there have been limited efforts in developing procedures for identifying rural land submarkets. Principal component analysis is used here to detect the presence of multiple rural land submarkets. Cluster analysis is then used as a basis for identifying eight contiguous rural land submarkets in Louisiana. As opposed to single-attribute procedures that have been based largely on subjective judgment, multivariate procedures illustrated in this analysis provide a means for capturing the combined effects of physical and socioeconomic influences in delineating rural land submarkets.

Although interest in cross-disciplinary research is not new, expressions of the importance of collaboration are increasing. A focus on agricultural sustainability issues, which explicitly recognizes the links among agricultural production activities, the environment, and communities, is an example of this interest. Among agricultural economists, a 1996 Council on Food, Agriculture, and Resource Economics (C-FARE) survey regarding professional priorities indicated that the profession overwhelmingly (92%) believes there is a need for more cross-disciplinary collaboration. This view is common across all sciences (physical and social), and not limited to the agricultural sciences.

The agricultural biotechnology industry has evolved from a focus on outstanding science to a more mature phase where firms focus on near-term products and building businesses. Understanding complex relationships and distribution channels and a global perspective are crucial to commercialization. Yet, leading-edge technology and early identification of key traits will be critical to developing superior products that ensure competitiveness in the marketplace. Monsanto is organizing around a life sciences model where seed, crop chemicals, pharmaceuticals, and food ingredient businesses will exploit mutual synergies driven by basic science and discovery.

On-farm research (OFR) has increased in popularity in the U.S. in recent years due to heightened interest in sustainability issues, the likely decline in resources available for agricultural research, and increasing pressures for accountability and responsiveness to state and local needs. Information relating to OFR was obtained from 431 commercial Kansas farmers. Data were analyzed to determine the degree of OFR being implemented, and three models were estimated to identify which farmer/farm characteristics influenced its implementation. The results indicate that OFR is commonly implemented, and that several farm/farmer characteristics are related to the degree of OFR initiated. It is proposed that to maximize the return from externally initiated OFR, there would be merit in focusing attention on farms/farmers with those characteristics.

DuPont Quality Grains is focused on improving grain quality for end users, rather than on farm production traits. A major DuPont program is high oil corn. Feed corn has a huge market, and, because it requires no intermediate processing, any enhanced value is measurable by end users. Standard commodity markets do not function for capturing the value of enhanced grains, and so DuPont works with end users, elevators, farmers, and seed companies to create market channels. As biotechnology commercializes more value-enhancing traits targeted to specific agricultural customers, vertical value chains will become shorter and more coordinated while standard commodity markets will diminish.

The purpose of this study is to empirically investigate Taiwanese married women's grocery shopping behavior in relation to their labor force participation status. In this study, focus is limited to their grocery shopping frequency which is meant to be a proxy for an input to household production, i.e., food at home. A Poisson switching regression model is developed to estimate parameters of married women's shopping behavior. The results show that the labor force participation status does have a great impact on time allocation behavior.

Agro-biotechnology is evolving from a pre-commerical phase dominated by basic research science to a commercial phase oriented around marketing products. In pursuing innovation rents in the commercial phase, firms are reorienting their strategies around complementary marketing and distribution assets. This is impacting vertical and horizontal industry structure. Conversely, industry structure is also impacting firm strategies. Horizontal alliances and consolidation continue from the pre-commercial phase into the commercial phase, while vertical coordination and integration strategies are accelerating rapidly. Interplay between firm strategy and industry structure is too complex for firms to anticipate early in the pre-commercial phase for long-term strategy formulation.

Technical efficiency measures are calculated for ratite producers using data envelopment analysis. Regression analysis is then used to determine producer characteristics that are likely to lead to higher technical efficiencies. Results indicate that the most technically efficient ratite producers in Louisiana are not producing at the benchmark efficiency level advocated by the industry. Producer experience with other livestock, specialization, and labor are factors likely to lead to higher technical efficiency. These results are expected to hold for most new, alternative livestock enterprises.

Rising landfill costs have forced solid waste managers to consider waste stream reduction alternatives such as household recycling. Explaining the factors which motivate households to recycle is important to regions where households must bear a large portion of the recycling cost because unit-based garbage disposal fees and curbside recycling are not feasible options. Empirical results indicate that residents are responsive to constraints introduced by the household production technology, such as time costs and storage space, but are not responsive to variables measuring a recycling promotional program. Promotion efforts should switch focus from broader “public good” benefits of recycling to reducing household-level household production constraints.

Limited information is available concerning price determination in the thoroughbred yearling market. A recursive model incorporating price expectations and biological constraints is used to estimate supply and demand functions for thoroughbred horses. Empirical results characterize a market with inelastic supply and elastic demand that converges to equilibrium under static conditions. Purses were identified as the most influential variable impacting price. Comparative statics illustrate the effectiveness of purses as a policy instrument for the thoroughbred industry. Federal tax policy also was found to have a significant impact on the decisions to breed or invest in thoroughbred yearlings.

A sample of Kansas farms was used to examine the impact of risk and specialization on mean financial performance. Mean financial performance was hypothesized to be influenced by risk, age of the operator, percentage of acres owned, financial efficiency, leverage, specialization, and farm size. Risk, age of operator, financial efficiency, and farm size had the largest impacts on mean financial performance. Specializing in swine, dairy, or crop production increased mean financial performance, while specializing in beef production decreased mean financial performance. Farms with both crops and a livestock enterprise (beef, swine, or dairy) tended to have less variability in financial performance.

The future use of Conservation Reserve Program (CRP) lands is an important agricultural policy issue. To examine the effects of factors that influence landowners' post-contract use of CRP lands, a survey of Texas High Plains CRP contract holders was conducted in 1992. This study analyzes the results of the survey using a qualitative choice model. It was found that the presence of a livestock enterprise in the current contract holder's operation increases the probability of these acres remaining in the established cover. Contract holders who value the commodity base have an increased probability of returning their acres to crop production.

Competitive pressures in the cow-calf sector increased in 1995 because of a decline of 27% in calf prices. Technical, allocative, and scale efficiency measures were used to examine the competitiveness of a sample of Kansas beef cow farms. On average, the farms were 78% technically efficient, 81% allocatively efficient, and 95% scale efficient. Enterprise profitability was correlated positively with the efficiency measures. Inefficiency was related to herd size and degree of specialization. Producers should focus on using capital, feed, and labor more efficiently rather than increasing their size. Increased concentration of the cow-calf sector will not result in large cost savings given the current technology.