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Daniel De La
Torre Ugarte, Associate Director of the University
of Tennessee’s Agricultural Policy Analysis
Center, conducts integrated economic, environmental,
and policy analysis. He developed the first stochastic
multi-regional agricultural sector model for policy
analysis (POLYSYS). Dr. Ugarte has enhanced the
model by disaggregating the POLYSYS supply side
into 305 Agricultural Statistical Districts; by
linking POLYSYS with natural resource data and
physical process models to estimate environmental
impacts; and by modifying POLYSYS to include dedicated
energy crops including switchgrass, hybrid poplar,
and willow. His analysis was used by Congress
to establish the pilot program for production
and use of biomass on Conservation Reserve Program
acres and by the White House to support Presidential
Executive Order 14134. He has provided expert
advice to the USDA Chief Economist, the DOE Office
of Power Technologies, the Senate Agricultural
Committee, and numerous public and private initiatives
regarding the economic impacts of energy crop
production on the agricultural sector. In conjunction
with the USDA Forest Service-Forest Products Laboratory,
POLYSYS has been used to estimate the potential
for hybrid poplar to be an energy and fiber source.
POLYSYS is used by the USDA Economic Research
Service and Oak Ridge National Laboratory to conduct
policy and economic analysis.
Current
Position:
Research Associate Professor,
Department of Agricultural Economics and Associate
Director of the Agricultural Policy Analysis Center,
The University of Tennessee
Education:
Ph.D., Agricultural Economics, Oklahoma State
University, 1992
M.S., Agricultural Economics, Oklahoma State University,
1987
Licentiate, Economics, Universidad Del Pacifico
(Lima, Peru), 1984
B.S., Economics, Universidad Del Pacifico (Lima,
Peru), 1983
Professional
Experience:
Research Assistant Professor, Agricultural Policy
Analysis Center, Department of Agricultural Economics,
University of Tennessee, Knoxville, 1994 to June
2002.
Consultant, Texas Ag Market Research Center, Texas
A&M University, 1999-2001.
Chief Financial Officer, Ralston Purina Peru,
S.A., Lima, Peru, 1988-1990.
Selected
Publications/Presentations:
Walsh, Marie E., Daniel G. De La Torre
Ugarte, Hosein Shapouri, Stephen P. Slinsky
(2003) Bioenergy crop production in the United
States: potential quantities, land use changes,
and economic impacts on the agricultural sector,
Environmental and
Resource Economics, 00:1-21, 2003.
De La
Torre Ugarte, Daniel G., Marie E. Walsh,
Hosein Shapouri, Stephen P. Slinsky (2003) The
economic impacts of bioenergy crop production
on U.S. agriculture, USDA-OCE, Agricultural Economic
Report No. 816, February 2003.
McLaughlin,
D. G. De La Torre Ugarte, C.T.
Garten, LR. Lynd, M.A. Sanderson, V.R. Tolbert,
D.D. Wolf (2003) High-Value Renewable Energy from
Prairie Grasses, Environmental Science and
Technology, 36 (10), 2122 -2129. 2002.
De La
Torre Ugarte, Daniel G. and Daryll E.
Ray (2000) Biomass and Bioenergy Applications
of the POLYSYS Modeling Framework, Biomass
and Bioenergy, 4 (3):118.
Ray, Daryll
E., James R. Richardson, Daniel G. De
La Torre Ugarte and Kelly H. Tiller (1998)
Estimating Price Variability in Agriculture: Implications
for Decision Makers, Journal of Agricultural
and Applied Economics, 30(1):2133.
Tiller, Kelly
H. and Daniel G. De La Torre Ugarte
(1998) Relating the Potential Impacts of an El
Nio Occurrence to Southeastern Agriculture, Selected
paper, published abstract, Journal of Agricultural
and Applied Economics, 30(1):233.
Setia, Parveen
P., Bengt T. Hyberg, Daniel G. De La Torre
Ugarte, and Daryll E. Ray (1997) Planting
Flexibility: Implications for Agriculture Sustainability,
International Advances in Economic Research,
3 (3):299311.
De La
Torre Ugarte, Daniel G., Daryll E. Ray,
and Kelly H. Tiller (1998) Using the POLYSYS Modeling
Framework to Evaluate Environmental Impacts in
Agriculture, in T. Robertson, B.C. English, and
R.R. Alexander, eds., Evaluating Natural Resource
Use in Agriculture, Iowa State University Press,
Ames IA, pp. 151172.
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