Consumer product manufacturers often compete in dynamic, multi-firm oligopolies using multiple strategic tools. While existing empirical models of strategic interaction typically consider only parts of the more general problem, this paper presents a more comprehensive alternative. Marketing decisions are dynamically optimal, consistent with optimal consumer choice, and responsive to rival decisions. Using a single-market case study that consists of five years of four-weekly data on ready-to-eat cereal sales, prices, and new brand introductions, we test several hypotheses regarding the nature of strategic interaction among several rival manufacturers. We find that cereal manufacturers price and introduce new brands cooperatively in the same period, but behave more competitively when dynamic reactions are included.

A battery of time series methods are compared for forecasting basis levels in the soybean futures complex: soybeans, soybean meal, and soybean oil. Specifically, nearby basis forecasts are generated with exponential smoothing techniques, autoregression moving average (ARMA), and vector autoregression (VAR) models. The forecasts are compared to those of the 5-year average, year ago, and no change methods. Using the 5-year average as the benchmark method, the forecast evaluation results suggest that alternative naive techniques may produce better forecasts, and the improvement gained by time series modeling is relatively small. In this sample, there is little evidence that the basis has become systematically more difficult to forecast in recent years.

In this paper, Chinese consumers' preferences and their willingness to pay (WTP) for non-genetically modified (GM) vegetable oil were elicited by a payment card approach. In addition to the conventional model, spike models, which were originally developed to evaluate public goods, were adopted in this paper. These spike models recognize the possibility of zero WTP and provide opportunities to analyze two correlated decision stages: whether to pay a premium for non-GM oil and how much the premium is. Results show that consumers behaved consistently in the two decision stages and there is a premium associated with non-GM oil.

This study investigates productive efficiency for a sample of Missouri crop-only (specialized) and integrated crop-livestock (diversified) farms using a cost frontier approach. Results suggest that significant cost inefficiency exists among sample farms. Lower cost efficiency in both types of farms was attributed to improper scale of operations and misallocation of inputs. On average, diversified farms were as technically and scale efficient as specialized farms. Lower allocative efficiency diluted gains in technical efficiency and resulted in greater cost inefficiency for diversified farms than for specialized farms. Technical efficiency was independent of farm size, whereas allocative, scale, and scope efficiencies were not.

The present paper examines the importance that efficient resource use may have for cotton growers under the current EU policy regime. To that end, input-oriented technical and scale efficiency scores for a sample of 172 cotton-growing farms are empirically quantified. The results suggest that cotton farms in the sample are not efficient mainly due to the nature of the policy regime governing the sector throughout EU. By becoming efficient, the co-responsibility levy will be reduced by 18.3% and farms may increase their profits by 50.1% on the average.

To understand the factors that influence farm direct marketing, a linear regression model is estimated to test the relationships between county-level direct market sales and socioeconomic, agricultural production, and location characteristics for West Virginia. The results show that higher median housing value, increased population density, a younger population, a greater number of direct market farms, more diversity of fruit and vegetable production and closer proximity to Washington, D.C., increase direct market sales. The results have implications for other states with a large proportion of small and part-time farmers, many of whom are located in close proximity to metropolitan areas.

A hedonic model is used to measure the change in value of residential lots in Rockport, Texas, resulting from Section 404 of the U.S. Clean Water Act. Results show that average lot values initially decreased, went through a six-year adjustment period, and then stabilized on a higher price path resulting in a positive net effect on average lot values throughout the Rockport area (with the exception of a particular subdivision). The results indicate that Section 404 generated both regulatory “takings” and “givings,” suggesting that both effects should be considered when assessing the benefits and costs of regulatory events and compensation claims.

Wildlife recreation—hunting, fishing, and wildlife watching—appears to be an increasingly important pastime for many Americans. From 1991 to 2001, U.S. wildlife recreation expenditures surged from $77 billion to $108 billion in 2001 dollars. Land lease and ownership expenditures by wildlife recreation participants are also rising and appear to be capitalized into farmland values. This paper analyzes the impact of hunting lease rates on farmland values in Texas. The results indicate that counties with higher wildlife recreation income streams have higher land values.

Rice production in Arkansas usually involves intensive tillage. No-till rice has been studied, but the focus has been limited to impacts on yields and per acre returns. This study uses mixed integer programming to model optimal machinery selection and evaluate whole-farm profitability of no-till management for rice-soybean farms. Results indicate that lower machinery ownership expenses combined with lower fuel and labor expenses do enhance the profitability of no-till management, but the monetary gains appear to be modest, implying that other incentives may be necessary to entice producers to use the practice.

If adoption of herbicide-resistant seed and adoption of conservation-tillage practices are determined simultaneously, adoption of herbicide-resistant seed could indirectly reduce soil erosion and adoption of conservation-tillage practices could indirectly reduce residual herbicide use and increase farm profits. Our objective was to evaluate the relationship between these two technologies for Tennessee cotton production. Evidence from Bayes' theorem and a two-equation logit model suggested a simultaneous relationship. Mean elasticities for acres in herbicide-resistant seed with respect to the probability of adopting conservation-tillage practices and acres in conservation-tillage practices with respect to the probability of adopting herbicide-resistant seed were 1.74 and 0.24, respectively.

A risk-averse irrigated corn producer would be better off choosing the more expensive subsurface drip irrigation (SDI) over center-pivot sprinkler (CPS), given limited aquifer life and swine effluent and urea fertilization. A stochastic optimization using EPIC data maximized expected utility of 100 years' worth of net revenues for a quarter section. Phosphorus accumulation was more likely with the CPS than with the SDI but soil nitrogen was constant under both systems. SDI conserves more water than CPS per acre but depletes the aquifer faster because a greater area is irrigated. These results were invariant in the sensitivity analysis.