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Renewable energy potential and adoption of renewable portfolio standards

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  • Upton, Gregory B.
  • Snyder, Brian F.

Abstract

Thirty states have adopted renewable portfolio standards (RPSs) that set targets for renewable energy generation by mandating electric power utilities obtain a minimum percentage of their retail load from renewable sources. To date, a number of studies have consistently found that political and economic factors impact RPS adoption. Studies have also examined the impact of renewable energy potential in a state on the probability of RPS adoption, but results have largely been statistically weak and inconclusive. After controlling for political and economic factors, we estimate that a one standard deviation increase in wind potential is associated with an approximately 4.2 percentage point increase in the probability of having an RPS, and a one standard deviation increase in solar potential is associated with a 6.1 percentage point increase in the probability of having an RPS.

Suggested Citation

  • Upton, Gregory B. & Snyder, Brian F., 2015. "Renewable energy potential and adoption of renewable portfolio standards," Utilities Policy, Elsevier, vol. 36(C), pages 67-70.
  • Handle: RePEc:eee:juipol:v:36:y:2015:i:c:p:67-70
    DOI: 10.1016/j.jup.2015.08.002
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    References listed on IDEAS

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    1. Thomas P. Lyon & Haitao Yin, 2010. "Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 133-158.
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    Citations

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    Cited by:

    1. Rountree, Valerie, 2019. "Nevada's experience with the Renewable Portfolio Standard," Energy Policy, Elsevier, vol. 129(C), pages 279-291.
    2. Wakiyama, Takako & Zusman, Eric, 2021. "The impact of electricity market reform and subnational climate policy on carbon dioxide emissions across the United States: A path analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    3. Teng, Minmin & Lv, Kunfeng & Han, Chuanfeng & Liu, Pihui, 2023. "Trading behavior strategy of power plants and the grid under renewable portfolio standards in China: A tripartite evolutionary game analysis," Energy, Elsevier, vol. 284(C).
    4. Sojin Jang & Hongtao Yi, 2022. "Organized elite power and clean energy: A study of negative policy experimentations with renewable portfolio standards," Review of Policy Research, Policy Studies Organization, vol. 39(1), pages 8-31, January.
    5. Fugui Dong & Lei Shi & Xiaohui Ding & Yuan Li & Yongpeng Shi, 2019. "Study on China’s Renewable Energy Policy Reform and Improved Design of Renewable Portfolio Standard," Energies, MDPI, vol. 12(11), pages 1-23, June.
    6. Upton, Gregory B. & Snyder, Brian F., 2017. "Funding renewable energy: An analysis of renewable portfolio standards," Energy Economics, Elsevier, vol. 66(C), pages 205-216.
    7. Li, Wei & Lu, Can & Zhang, Yan-Wu, 2019. "Prospective exploration of future renewable portfolio standard schemes in China via a multi-sector CGE model," Energy Policy, Elsevier, vol. 128(C), pages 45-56.
    8. Pritchard, Zachary D. & Mills, Sarah, 2021. "Renewable energy requirements on the ballot: An analysis of county-level voting results," Energy Policy, Elsevier, vol. 148(PA).
    9. Daniel J Pastor, 2020. "The effects of renewables portfolio standards on renewable energy generation," Economics Bulletin, AccessEcon, vol. 40(3), pages 2121-2133.
    10. Dongmin Son & Joonrak Kim & Bongju Jeong, 2019. "Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes," Energies, MDPI, vol. 12(9), pages 1-24, May.

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