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Effectiveness of state climate and energy policies in reducing power-sector CO2 emissions

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  • Geoff Martin

    (Emory University
    Town of Hartford)

  • Eri Saikawa

    (Emory University)

Abstract

States have historically been the primary drivers of climate change policy in the US, particularly with regard to emissions from power plants. States have implemented policies designed either to directly curb greenhouse gas (GHG) emissions from power plants, or to encourage energy efficiency and renewable energy growth. With the federal government withdrawing from the global climate agreement, understanding which state-level policies have successfully mitigated power-plant emissions is urgent. Past research has assessed policy effectiveness using data for periods before the adoption of many policies. We assess 17 policies using the latest data on state-level power-sector CO2 emissions. We find that policies with mandatory compliance are reducing power-plant emissions, while voluntary policies are not. Electric decoupling, mandatory GHG registry/reporting and public benefit funds are associated with the largest reduction in emissions. Mandatory GHG registry/reporting and public benefit funds are also associated with a large reduction in emissions intensity.

Suggested Citation

  • Geoff Martin & Eri Saikawa, 2017. "Effectiveness of state climate and energy policies in reducing power-sector CO2 emissions," Nature Climate Change, Nature, vol. 7(12), pages 912-919, December.
    • Handle: RePEc:nat:natcli:v:7:y:2017:i:12:d:10.1038_s41558-017-0001-0
    DOI: 10.1038/s41558-017-0001-0
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    8. Ma, Y. & Li, Y.P. & Mei, H. & Nie, S. & Huang, G.H. & Li, Y.F. & Suo, C., 2024. "Potential way to plan China's power system (2021–2050) for climate change mitigation," Renewable Energy, Elsevier, vol. 225(C).
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    15. Parrish Bergquist & Christopher Warshaw, 2023. "How climate policy commitments influence energy systems and the economies of US states," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    16. An, Yimeng & Dang, Yaoguo & Wang, Junjie & Zhou, Huimin & Mai, Son T., 2024. "Mixed-frequency data Sampling Grey system Model: Forecasting annual CO2 emissions in China with quarterly and monthly economic-energy indicators," Applied Energy, Elsevier, vol. 370(C).
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    19. Clarence Tolliver & Hidemichi Fujii & Alexander Ryota Keeley & Shunsuke Managi, 2021. "Green Innovation and Finance in Asia," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(1), pages 67-87, January.
    20. Dong, Zhuojia & Yu, Xianyu & Chang, Ching-Ter & Zhou, Dequn & Sang, Xiuzhi, 2022. "How does feed-in tariff and renewable portfolio standard evolve synergistically? An integrated approach of tripartite evolutionary game and system dynamics," Renewable Energy, Elsevier, vol. 186(C), pages 864-877.
    21. Han, Zhixin & Fang, Debin & Yang, Peiwen & Lei, Leyao, 2023. "Cooperative mechanisms for multi-energy complementarity in the electricity spot market," Energy Economics, Elsevier, vol. 127(PB).
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