Organic farmers make system-level crop protection decisions that combine complementary insect, disease, nematode, and weed management strategies. Data from a national survey of U.S. organic farmers were used in a multivariate count data model to identify the farm and regional factors influencing...

Abstract: This paper examines the factors that influence earned income of organic farmers given their decisions to engage in local selling. The model explicitly accounts for the sorting of producers across different levels of commitment to local sales on the basis of both observable and...

We develop measures of technical and allocative efficiency of producers in marketing certified organic products. A stochastic output distance frontier and the associated revenue share equations are estimated using comprehensive U.S. data on certified organic producers. Farm-level measures of...

An indirect utility model is employed for measuring farmers' willingness to voluntarily accept yield losses for a reduction in environmental risk by decreasing pesticide use. Results support the hypothesis that farmers have self-described risk perceptions that enable them to make assessments of...

Agricultural policymakers place increasing emphasis on developing efficiency measures for organic producers in order to evaluate regulatory strategies and evolving organic market conditions. We develop technical efficiency measures for U.S. organic farmers using a stochastic production frontier....

Organic farmers, wholesalers, and retailers need reliable price forecasts to improve their decision- making practices. This paper presents a methodology and protocol to select the best-performing method from several time and frequency domain candidates. Weekly farmgate prices for organic fresh...