Year of Publication


Degree Name

Master of Science (MS)

Document Type

Master's Thesis


Agriculture, Food and Environment


Agricultural Economics

First Advisor

Dr. Tyler Mark


This paper attempts to estimate productivity and efficiency for Kentucky grain farms by applying a two-stage Date Envelopment Analysis (DEA) and DEA-based Malmquist method. The study covers the years 1999-2015. Also, productivity and efficiency testing hypotheses among different farm sizes and years are estimated. In the first step, productivity and efficiency indices are estimated through deterministic DEA. In the second stage, a panel regression is run with exogenous variables to explain the productivity and efficiency variation. In general small farms were found to be the least scale efficient compared to mid-sized and large farms, even though the results show overall productivity gain and technological improvements during the study. Therefore, small farms need to diversify their scope to survive due to a lack of scale efficiency.

Digital Object Identifier (DOI)