Regulatory Stringency and Policy Drivers: A Reassessment of Renewable Portfolio Standards
By Sanya Carley, Chris J. Miller. 2012
130 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/d088c4e122369342048a351c5edd099a8cfc64bb
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In Economics and Econometrics
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Citations in the corpus
- The evaluation of renewable energy policies across EU countries and US states: An econometric approach (2016, background): “For instance, Carley and Miller (2012) discuss the different forms of RPS adopted by state level policymakers and Lyon and Yin (2010) point to the local renewable potential in the framing of policy choices.”
- A retrospective analysis of benefits and impacts of U.S. renewable portfolio standards (2016, background): “…programs.6 Previous research, for example, has come to mixed conclusions about the incremental effect of RPS programs on RE deployment (Carley 2009; Carley and Miller 2012; Menz and Vachon 2006; Sarzynski et al. 2012; Shrimali et al. 2015; Shrimali and Jenner 2013; Shrimali and Kniefel 2011; Staid…”
- Environmental regulation and innovation in renewable energy technologies: Does the policy instrument matter? (2020, background): “Recent research on renewable energy policies has emphasized the value of including a continuous indicator measuring the stringency of the different policy instruments (Carley and Miller 2012; Jenner et al. 2013).”
- A critical review of China's rapidly developing renewable energy and energy efficiency policies (2014, background): “Chinese REEE policies are differ from those of the United States, where the federal government has been slow to act and instead relies on state-level policy experiments [10], and Europe, where a supranational body (the European Union) plays a significant role in REEE policymaking [11].”
- Funding Renewable Energy: An Analysis of Renewable Portfolio Standards (2017, methodology): “Therefore, we test the sensitivity of our results to a measure of RPS stringency (Carley and Miller, 2012).”