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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Khanna, Madhu</dc:contributor>
          <dc:contributor>Khanna, Madhu</dc:contributor>
          <dc:contributor>Fullerton, Don</dc:contributor>
          <dc:contributor>Ando, Amy W.</dc:contributor>
          <dc:contributor>Thompson, Robert L.</dc:contributor>
          <dc:creator>Lasco, Marie Christine D.</dc:creator>
          <dc:date>2010-05-14T20:51:48Z</dc:date>
          <dc:date>2010-05-14T20:51:48Z</dc:date>
          <dc:date>2012-05-15T10:00:50Z</dc:date>
          <dc:date>2010-05-14T20:51:48Z</dc:date>
          <dc:description>Policy intervention in the biofuel market has led to a significant increase in biofuel production and use in the past several years. However, the welfare effect of biofuel
policies, specifically the ethanol tax credit for corn ethanol, ethanol import tariff and
renewable fuel standard (RFS) mandate has not been adequately examined. Moreover,
the environmental impact of these policies, and their impact on fuel taxation
has not been sufficiently addressed in the literature. This dissertation examines the
market and welfare effects of biofuel policies in the US, specifically those relating to
corn and sugarcane ethanol, with the aim of determining the welfare implications of
existing policies, and designing second-best optimal policies. In measuring welfare
effects, changes in social surplus, as well as environmental externalities are taken into
account. In addition, the interaction of fuel and biofuel policies with the broader
fiscal system is also considered.
This dissertation consists of three papers. In the first paper, a stylized model
of the US miles and fuel market, including ethanol trade is developed to quantify
the market and welfare effects of biofuel policies in the US. In order to examine
the effect of the ethanol tax credit and import tariff, several market scenarios are
simulated. The market outcome with the two policies in place are compared to a
non-intervention scenario, and an optimal baseline where Pigouvian taxes are levied
on fuel and miles. Results show that the effect of the tax credit on social surplus is
clearly negative, while the impact of the tariff depends on the ability of the US to
influence ethanol prices in the world market. Numerical simulations show that the
existing ethanol tax credit and import tariff increase miles externalities and GHG
emissions and decrease social welfare by $5.9 B relative to non-intervention and by
$235 B relative to the optimal scenario.
In the second paper, detailed production data on ethanol production costs in
the US and Brazil are used together with a numerical model of US biofuel trade
with Brazil to quantify the welfare effect of the US RFS mandate for traditional and
advanced biofuel (excluding cellulosic and biomass biodiesel) under various scenarios
on the currency exchange rate between the US dollar and Brazilian reais. Numerical
results show that in 2015, the cost of the mandate is lower when the US currency is
appreciated relative to the Brazilian currency, and when the excess supply elasticity
of ethanol from Brazil is more elastic. Relative to a baseline without a mandate but
with an ethanol subsidy and import tariff in place, GHG emissions decrease and the
welfare effect of the mandate ranges from -$23 to +$5 Billion dollars as the exchange
rate varies from US$1 = R$1.81 to US$1 = R$3.11.
The third paper analyzes the impact of biofuel policies and biofuel use on the
second-best optimal carbon tax for fuels in the presence of a labor tax and a biofuel
subsidy. Findings show that when biofuel is part of the fuel mix, the carbon tax
has a commodity price effect which arises from tax-induced changes in land rent.
The commodity price effect could exacerbate or attenuate the tax interaction effect
caused by higher fuel prices, depending on the elasticity of substitution between
gasoline and biofuel, the price elasticity of miles demand, and the relative emissions
intensity of gasoline and biofuel. Numerical results show that the commodity price
effect affects the value of the second-best optimal carbon tax, and that the effect
is greater if the elasticity of substitution between gasoline and ethanol is higher,
iii
miles demand is more price inelastic, and the emissions intensity of biofuel is lower
relative to gasoline. In addition, the existence of a fixed biofuel subsidy lead to a
greater divergence between the value of the second-best optimal carbon tax with
or without biofuels. A carbon tax policy decreases GHG emissions and increases
welfare, in contrast to a biofuel subsidy, which also decreases GHG emissions but at
a net welfare loss.</dc:description>
          <dc:date>2010-5</dc:date>
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          <dc:identifier>http://hdl.handle.net/2142/15592</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2010 Marie Christine D. Lasco</dc:rights>
          <dc:subject>biofuel policy</dc:subject>
          <dc:subject>second-best optimal carbon tax</dc:subject>
          <dc:subject>fuel tax</dc:subject>
          <dc:subject>ethanol</dc:subject>
          <dc:subject>biofuel trade</dc:subject>
          <dc:title>Welfare effects of biofuel policies in the presence of environmental externalities and pre-existing distortions</dc:title>
          <degree>
            <department>Agr &amp; Consumer Economics</department>
            <departmentCode>1470</departmentCode>
            <discipline>Agr &amp; Consumer Economics</discipline>
            <disciplineCode>0176</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
            <program>PHD:Agr &amp; Consumer Econ -UIUC</program>
            <programCode>10KS0176PHD</programCode>
          </degree>
        </thesis>
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