We examine how much on-farm reservoirs can increase groundwater quantity and improve surface water quality using a spatial-dynamic model of farm profit maximization in the Arkansas Delta. Sensitivity analysis of the farm profit objective by including the value of surface water quality and the groundwater buffer value evaluates how accounting for environmental value affects the optimal crop mix, water use, and farm profits. The best policy for a critical water resource area is to have the government cost share construction of on-farm reservoirs because groundwater conservation and surface water quality goals are achieved efficiently for a modest redistribution of income.

We quantify weather effects on output and incomes for a panel of Kansas farmers. The effects of weather are largely asymmetric with negative temperature and precipitation values affecting output and income differently than above average observations. Precipitation effects depend on timing and seasonal averages. The number of days exceeding 32.2°C (i.e., the “hot” years) negatively impacts production and income measures, although the impact is positive for crop output in the cooler years. The results indicate the importance of including weather in predicting output and income and designing risk management instruments to mitigate weather trends and variability.

Government support uncertainty, scarce yield information, and the inherent risk in bioeconomic phenomena are some of the deterrents faced by investors in the nascent cellulosic biofuel industry. A financial probabilistic model was developed to contrast the economic feasibility of producing cellulosic biofuels from energy cane and sweet sorghum using three technologies: hydrolysis, pyrolysis, and gasification. Hydrolysis and pyrolysis proved feasible (showed possibilities of a positive net present value) without government support and conditioned to stochastic feedstock yields and biofuel prices. Gasification was feasible with government support. Improved feedstock and biofuel productivity would considerably raise the feasibility probabilities for hydrolysis and pyrolysis without government support.

This article analyzes economic tradeoffs among harvest date, fertilizer applied, nutrient removal, and switchgrass yield as they vary with respect to input and output prices. Economic sensitivity analyses suggest that higher biomass prices lead to earlier harvest. Optimal harvest time occurs beyond time of maximum yield because nutrient removal in the biomass is an important economic consideration. Switchgrass price premia that reflect the cost of non-optimal harvest time are driven by standing crop yield loss, nutrient removal, storage loss, and opportunity cost. These price premia could provide a mechanism to compensate producers for alternative harvest times and aid with logistics management.

Erosion of agricultural croplands is a significant contributor of sedimentation to reservoirs. Here, physiographic and economic models for a large agricultural watershed (2377 square miles with 27 subwatersheds) are integrated for the reduction of sedimentation of one Midwestern reservoir. Sediment reduction and the cost-effectiveness of three agricultural best management practices (no-till, filter strip, and permanent vegetation) implementation were considered under three modeling scenarios: random assignment; the globally most cost-effective approach; and a cost-effective targeting approach. This study demonstrates how physiographic and economic data can be harnessed to yield readily comprehendible cost-effective targeting maps. Cost-effective targeting may be preferable to watershed managers for its “user-friendliness” without too great a sacrifice of the globally most cost-efficient solution.

Increasing volatility in milk and feed prices has led to higher levels of market and financial risk for dairy farmers. We examine dairy farmer use of forward pricing methods for milk sales and feed purchases. Operators with larger herds, higher levels of education, and those farm businesses that were not organized as sole proprietorships were more likely to have used forward pricing. We also examine reasons dairy farm operators had not used these tools to date and find that the most common reason was lack of knowledge. These findings may be used to target educational seminars and outreach to dairy farm managers.

Costs and returns of pasture-based dairy production are compared with those of conventional production using matching samples. Both whole-farm and dairy enterprise-level estimates are made using the U.S. Department of Agriculture's Agricultural Resource Management Survey data. Conventional farms are matched to pasture-based farms on the basis of operation scale, scope, region, and farmer demographics and adoption of technology. Results show for pasture-based production lower net farm income on per-cow, per-hundredweight milk produced, and total bases. On an enterprise basis, results show for pasture-based production, higher net return over operating cost and lower net return over total cost per hundredweight milk produced.

The effect of negative publicity on consumer demand for brands is examined in the context of recall of a peanut butter brand as a result of pathogen contamination. The recall was associated with negative impacts for the implicated brand and positive effects on the leading competitor brand. Consumers responded to the foodborne illness outbreak within three weeks. The case demonstrates that consumer response is an incentive for companies to prevent safety lapses and that the problems of one brand do not necessarily harm rivals within the category.

This article investigates the extent to which national brand and private label (store brand) prices behave differently as food price inflation changes. Empirical tests using a range of indices support the hypotheses that rising commodity and fuel prices lead to relatively larger surges in private label prices. When food prices are rising or high, the average price difference between national brands and private labels shrinks. The findings have implications for understanding the welfare effects of private labels. Moreover, they suggest that food price inflation is stronger for low-income households as food prices rise.

Promotion programs that subsidize advertising for exported agricultural products continue to be used despite much criticism that they are an inefficient use of taxpayer money. At the same time, others have advocated for an increase in funds to support domestic advertising for fruits and vegetables. We investigate the economic and nutritional effects from changes in both export and domestic promotion expenditures for horticultural and nonhorticultural commodities. Simulation results show that even modest decreases in trade promotion expenditures coupled with a corresponding increase in domestic promotion efforts have the capacity to influence domestic market conditions, caloric intake, and nutrient consumption.

Factors associated with purchase likelihoods and amounts spent on fresh and preserved vegetables in Malaysia are investigated. A sample selection system is applied to data from a national survey in Malaysia. Statistical test supports separate analyses for urban and rural households. Income and sociodemographic characteristics such as ethnicity, location of residence, household size, and education are closely associated with household expenditure patterns of fresh and preserved vegetables. Urban-rural differences are also uncovered in these effects. Several observations are noted vis-à-vis the expenditure patterns for fresh and preserved vegetables in Malaysia.

We developed a trade model under imperfect competition to analyze the market power of U.S. and Chinese apple producers in the Association of Southeast Asian Nations (ASEAN) market and their domestic markets and the elimination of ASEAN tariffs on U.S. and Chinese apples. We also formulated welfare functions for the United States, China, and ASEAN. Comparative static results are derived to analyze the effect of tariff changes on exports, domestic sales, and welfare. Based on the theoretical model, we derived an econometric specification and used the new empirical industrial organization literature to estimate the market power of U.S. and Chinese apple producers. The econometric model is simulated to quantify the effect of tariff removal on exports and domestic sales.