Our contribution in this article is to compare two methods of adjusting agricultural productivity estimates for the effects of bad environmental outputs. One method is a direct non-parametric Malmquist index with the environmental variables include. The other method is to use the shadow prices...

Traditional measures of agricultural productivity only incorporate those inputs and outputs that are recorded in market transactions. However, such measures do not account for externalities such as environmental damage. This study uses an output distance function framework to estimate a...

Competitiveness in commodity markets is associated with a shift in the marginal cost as represented by Griliches k-shift. A distance function is used to estimate this shift as a combination of the rate an bias of technological change in the markets for corn, soybenas, wheat, and beef in U.S...

This paper examines growth in the U.S. agricultural sector under the conditions hypothesized by endogenous growth theory. Public capital and R&D are explicitly considered to capture the effects of public inputs in a model based on dynamic duality theory. Results support some necessary conditions...