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Explaining the reductions in US corn ethanol processing costs: Testing competing hypotheses
Xiaoguang Chen
,
Madhu Khanna
Institute for Sustainability, Energy, and Environment
Agricultural and Consumer Economics
Natural Resources and Environmental Sciences
Carl R. Woese Institute for Genomic Biology
National Center for Supercomputing Applications (NCSA)
Center for South Asian and Middle Eastern Studies
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Keyphrases
Processing Cost
100%
Competing Hypotheses
100%
Corn Ethanol
100%
Learning Rate
50%
Ethanol
33%
Cumulative Experience
16%
Economies of Scale
16%
Ethanol Industry
16%
Higher Learning
16%
Learning by Doing
16%
Technological Change
16%
Sugarcane Ethanol
16%
Corn Ethanol Production
16%
Energy Prices
16%
Production Volume
16%
Input Prices
16%
Dry Milling
16%
Ethanol Imports
16%
Decreasing Returns to Scale
16%
Rising Prices
16%
Induced Innovation
16%
Economics, Econometrics and Finance
Returns to Scale
100%
Price
100%
Industry
50%
Technological Change
50%
Endogenous Growth Model
50%