NOTICEThis report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof.
NREL's Clean Energy Policy Analyses (CEPA)The CEPA suite of analyses and activities explore clean energy development and policy implementation at the regional, state, and local levels and disseminate that information to interested stakeholders. The activities gauge the effectiveness of and interactions between clean energy policies, provide insight into regional activities, investigate the interactions between local and state-level policies, and convene leading thought leaders to develop innovative regional, state, and local clean energy policies. The goal is to provide information to decision makers, researchers, and other stakeholders regarding the status of, barriers to, and possibilities for increased energy efficiency and renewable energy development at various levels of governance. For more information, see http://www.nrel.gov/cepa/. This report focuses primarily on energy use in electricity and buildings. For more information on transportation policies at the state and local level, please see the Alternative Fuels Data Center: http://www.afdc.energy.gov/afdc/.
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Executive SummaryThe increase in the use of state policy to drive energy efficiency and renewable energy market transformation is leading to extensive research on determining the best policies and policy designs to achieve this goal. In recent years, numerous best practice and state policymaker guidebooks have emerged to inform and assist the development of effective policy (e.g., DOE 2009; EPA 2008; LBNL 2009). In addition, there is growing interest in quantifying the connection between policies and development. To date, much of this work has been specific to wind resource development (Bohn and Lant 2009;Menz and Vachon 2005) or has focused specifically on renewable portfolio standard (RPS) effectiveness (Carley 2009).This report uses statistical methods to better quantify the connection between a broad array of energy efficiency and renewable energy (collectively known as clean energy) policy and actual reductions in energy use and increases in renewable resource development. Using a multi-faceted dataset including policies, socioeconomic factors, and electricity information, ordi...