Agricultural Economics Department
Title
Understanding Spatial Welfare Impacts of a Grain Ethanol Plant
Document Type
Article
Date of this Version
8-2009
Abstract
This study inquires into the spatial welfare impacts of a grain ethanol plant established in
an area with a beef feeding industry. Beef feeders, corn farmers, and the ethanol plant interact
with each other simultaneously in a dynamic market situation. To date, there are no studies
which simultaneously analyze the welfare impacts of an ethanol enterprise on the three major
players affected by the existence of a plant. In this market situation, some interesting
phenomena have been noted which raise some intriguing questions. Why do plants sell ethanol
byproduct feed at prices below corn price, even though studies show the byproduct to be a more
valuable feed? Why does a plant, which could ship a non-perishable all over the world, choose
instead to produce a perishable product? The answers to these questions are affected by the
density of corn production, the density of beef production and the size of an ethanol plant in an
area. This paper will shed some light on how these and other factors influence welfare and
answers the questions posed above.
The answers to these questions are important to the agents affected, but empirical
evidence is not available on a sufficiently fine spatial grid to address them. Therefore the
approach of this study is to construct a spatial equilibrium model to examine conditions that
determine the distribution of welfare benefits from the existence of a plant. The model is driven
by the plant’s choice of prices for corn and byproduct so as to minimize net feedstock cost for
the plant’s capacity. These prices, and the welfare impacts on corn producers, feedlots and the
plant itself, will depend upon transportation costs, the density of corn and beef production and
the size of the plant.

Comments
Contributed Paper prepared for presentation at the International Association of Agricultural Economists Conference, Beijing, China, August 16-22, 2009. Copyright 2009 by Justin Van Wart and Richard K. Perrin.