<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T17:45:59Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/99079" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/99079</identifier><datestamp>2026-06-16T18:16:38Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Lawrence E. Susskind.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Stokes, Leah C</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Urban Studies and Planning</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="accessioned">2015-09-29T19:01:58Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2015-09-29T19:01:58Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/99079</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">921888702</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D. in Public Policy, Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2015.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 405-425).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Addressing climate change requires societies to transition towards renewable energy resources. In the United States, most states have passed renewables portfolio standards (RPS), creating goals for electricity's share of renewables, and instituted net energy metering (NEM) policies, compensating individuals and organizations for supplying distributed energy to the grid. Why have some states, like California, successfully expanded their policies, while others, like Texas, have failed to enact higher RPS targets or a NEM policy? Why have some states, like Ohio and Arizona, weakened their policies, while others, like Kansas and Colorado, have staved off retrenchment attempts? Typical explanations for policy change include shifts in partisan control, shifts in public opinion, and bureaucratic learning. However, I argue that shifts in the balance of power between supportive and opponent interest groups best accounts for variation across states in repeal efforts' success. Through policy feedback, policy design structures interest groups' relative power. Retrenchment attempts are more likely to succeed when renewable energy opponents are greater in number, profitability or political influence. By contrast, policy expansion is more likely to occur when renewable energy advocates become disproportionately empowered compared to their opponents. Drawing on comparative case studies, this dissertation uses process-tracing to construct policy histories, examining how policymaking and implementation shaped later rounds of policy revision. The study compares six cases of renewable energy policy change in US states, developed through over 100 semi-structured interviews with politicians, political staff, utilities, bureaucrats, and interest groups. Primary and secondary archival documents on were also gathered and analyzed. Advocates and opponents use several strategies to try to change policy. Politicians often come to support or oppose policies as a function of their ties to interest groups. Still, public support for policy matters; accordingly, interest groups construct and present public opinion strategically to try to shape politicians' actions. Finally, how the policy is designed, including its timing and visibility, may condition its capacity to expand or contract over time. In this way, my argument draws from and contributes to policy feedback theory.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Leah C. Stokes.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D. in Public Policy</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">425 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Power politics : renewable energy policy change in US states</dim:field>
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   	&lt;Title>Power politics : renewable energy policy change in US states&lt;/Title>
   	&lt;Subtitle>Renewable energy policy change in US states&lt;/Subtitle>
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   	&lt;PublicationDate>2015&lt;/PublicationDate>
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    &lt;Keyword>Urban Studies and Planning.&lt;/Keyword>
   	&lt;Abstract>Addressing climate change requires societies to transition towards renewable energy resources. In the United States, most states have passed renewables portfolio standards (RPS), creating goals for electricity&amp;apos;s share of renewables, and instituted net energy metering (NEM) policies, compensating individuals and organizations for supplying distributed energy to the grid. Why have some states, like California, successfully expanded their policies, while others, like Texas, have failed to enact higher RPS targets or a NEM policy? Why have some states, like Ohio and Arizona, weakened their policies, while others, like Kansas and Colorado, have staved off retrenchment attempts? Typical explanations for policy change include shifts in partisan control, shifts in public opinion, and bureaucratic learning. However, I argue that shifts in the balance of power between supportive and opponent interest groups best accounts for variation across states in repeal efforts&amp;apos; success. Through policy feedback, policy design structures interest groups&amp;apos; relative power. Retrenchment attempts are more likely to succeed when renewable energy opponents are greater in number, profitability or political influence. By contrast, policy expansion is more likely to occur when renewable energy advocates become disproportionately empowered compared to their opponents. Drawing on comparative case studies, this dissertation uses process-tracing to construct policy histories, examining how policymaking and implementation shaped later rounds of policy revision. The study compares six cases of renewable energy policy change in US states, developed through over 100 semi-structured interviews with politicians, political staff, utilities, bureaucrats, and interest groups. Primary and secondary archival documents on were also gathered and analyzed. Advocates and opponents use several strategies to try to change policy. Politicians often come to support or oppose policies as a function of their ties to interest groups. Still, public support for policy matters; accordingly, interest groups construct and present public opinion strategically to try to shape politicians&amp;apos; actions. Finally, how the policy is designed, including its timing and visibility, may condition its capacity to expand or contract over time. In this way, my argument draws from and contributes to policy feedback theory.&lt;/Abstract>
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