Survey evidence from U.S. organic farmers is evaluated to identify the factors influencing adoption of farm management strategies to mitigate the impact of key production constraints. A multilevel count data model is specified for the number of frequently used management strategies adopted by...

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...

Although the organic produce industry is growing dramatically, little is known about market structure. We estimate a system of reduced-form equations to evaluate supply and demand factors that influence equilibrium farm price and quantity in wholesale markets for organic broccoli, carrots, and...

A stochastic frontier model is used to explain the performance evaluation by organic producers of programs provided by the U.S. university extension systemproviders. We identify nonmanagerial factors that influence both performance ratings and performance efficiency, defined as achieving a...

We study the demand by organic farmers for technical advice using a quantile regression for the demand of organic farmers for consultations with private information providers. There is substantial heterogeneity in the impact of critical explanatory variables on consultations of organic farmer....

A stochastic distance function frontier was estimated using data from a national survey of organic farmers to evaluate the effect of farm-specific attributes on efficiency. Farm-specific and regional variables that shift efficiency were incorporated into the multioutput distance function,...

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...

A stochastic frontier model is used to explain the performance evaluation of U.S. university extension providers by organic producers. The model makes explicit the nonmanagerial factors that influence both performance ratings and performance efficiency, defined as achieving a rating as close to...