A 2009 survey of cotton farmers in twelve states collected information about the use of georeferenced precision soil testing (PST). Adoption of PST technology and the interval until retesting were examined with a Poisson hurdle regression. Survey data were calibrated using a post-stratification...

Researchers have extensively studied crop yield response to weather variations, while only a limited number of studies have attempted to identify spatial heterogeneity in this relationship. We explore spatial heterogeneity in corn yield response to weather by combining geographically weighted...

Cover crops can help reduce the negative environmental impacts of cotton production. Using time series yield data, this study utilizes generalized stochastic dominance to evaluate the relative worth, via risk premiums, of three cover crop and two conventional production systems based on expected...

Government programs that help agricultural producers manage risk may have environmental consequences. In recent years, premium subsidies for crop insurance have been increased substantially to encourage greater producer participation. Using detailed, producer-level crop insurance contract data...

Herein we explore how money pumps from rational choice theory and nudges from behavioral economics work toward helping create better environmental policy. We examine the role of money pumps in environmental policy, and whether policymakers can use nudges to "supercharge" incentives. We summarize...

A watershed-based modeling system is developed to assess alternative nutrient abatement policies, including fertilizer taxes, application caps, and uniform reductions. A microeconometric model of nutrient use is estimated using farm-level data, prices, and spatially detailed soil and land...

Irrigation water demand is estimated using field-level panel data from Kansas over 16 years. The cost of pumping varies over time due to changes in energy prices and across space due to differences in the depth to water. Exploiting this variation allows us to estimate the demand elasticity while...

We develop a positive mathematical programming model to investigate the impact of climate change on land use in the prairie pothole region of western Canada, with particular focus on wetlands retention. We examine the effect of climate change and biofuel policies that are implemented to mitigate...

A Cobb-Douglas stochastic frontier function is estimated for the cow-calf enterprises in the Texas Rolling Plains using Standardized Performance Analysis (SPA) data. We find that factors promoting higher herd productivity include machinery investment, pasture-quality improvement, and protein...

A bioeconomic model is developed to analyze the optimal control management strategies for an introduced herbivore in a two-compartment ecosystem. This paper analyzes cost-effective control strategies that decrease the spillover effects of the herbivore on endangered plant species, thereby...