Evaluating RPS Policy Design

Evaluating RPS Policy Design
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ISBN-10 : OCLC:1376935479
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Book Synopsis Evaluating RPS Policy Design by : Lincoln L. Davies

Download or read book Evaluating RPS Policy Design written by Lincoln L. Davies and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As renewable energy support policies continue to evolve, assessing their effectiveness is increasingly important. Today, renewable portfolio standards (“RPS”) -- mandates that jurisdictions produce a percentage of their electricity from renewable energy -- are one of the two leading policy tools used to promote renewable energy development. While RPSs have received significant scholarly attention, few analyses have focused on RPS policy design. This Article fills this gap in the literature. Specifically, the Article makes three primary contributions: First, it builds a new conceptual model that can be used to evaluate RPS performance. Second, it employs that model to identify which RPS policy design traits are most likely to influence whether these laws succeed or fail. Finally, based on this analysis, the Article extracts lessons about current voids in RPS policy, RPS best practices, and, importantly, ways that RPS policy design can be innovated going forward. In this way, the Article is both conceptual and analytical. It draws on scholarship in regulatory performance, renewable energy law and policy, and innovation and technology diffusion, and it utilizes examples of RPS performance from across the globe -- particularly in India, the United Kingdom, and the United States. The Article concludes that RPSs should focus more on reducing investor risk, expanding the types of resources they promote, addressing equity concerns, and removing external barriers to renewable energy development. While RPSs seek to advance a clean energy transition differently from how feed-in tariffs (“FITs”) promote renewables, policymakers may be able to enhance RPS performance by building into RPSs of the future tools used in FITs today.


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