Ethanol production in the United States: The roles of policy, price, and demand

Newes, E; Clark, CM; Vimmerstedt, L; Peterson, S; Burkholder, D; Korotney, D; Inman, D

HERO ID

10287941

Reference Type

Journal Article

Year

2022

Language

English

PMID

37091191

HERO ID 10287941
In Press No
Year 2022
Title Ethanol production in the United States: The roles of policy, price, and demand
Authors Newes, E; Clark, CM; Vimmerstedt, L; Peterson, S; Burkholder, D; Korotney, D; Inman, D
Journal Energy Policy
Volume 161
Page Numbers 112713
Abstract Assessments of the impact of the U.S. renewable fuel standard (RFS) should inform consideration of future biofuels policy. Conventional wisdom suggests the RFS played a major role in stimulating the ten-fold expansion in ethanol production and consumption in the United States from 2002 to 2019, but evidence increasingly suggests the RFS may have had a smaller effect than previously assumed. Price competitiveness, federal and state policies such as reformulated gasoline requirements, and octane content in ethanol also affect ethanol market attractiveness. This study explores the roles of policy and economic factors by comparing historical data with results from scenarios simulated in a system dynamics model. Results suggest price competitiveness may explain much of the growth in the ethanol industry from 2002 to 2019. The Volumetric Ethanol Excise Tax Credit and phaseout of the oxygenate methyl tert-butyl ether contributed to earlier growth relative to expected timing of growth based on fuel price alone. The RFS (modeled through observed Renewable Identification Numbers) contributed to increased ethanol production in later years and may have increased production in the earlier years if risk of investment was decreased by the RFS Program.
Doi 10.1016/j.enpol.2021.112713
Pmid 37091191
Wosid WOS:000736966700013
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
Keyword Volumetric ethanol excise tax credit (VEETC); renewable fuel standard (RFS); policy analysis; system dynamics; hindcasting; biomass scenario model