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Carbon Pricing, Clean Electricity Standards, and Clean Electricity Subsidies on the Path to Zero Emissions

In: Environmental and Energy Policy and the Economy, volume 4

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  • Severin Borenstein
  • Ryan Kellogg

Abstract

We categorize the primary incentive-based mechanisms under consideration for addressing greenhouse gas emissions from electricity generation—pricing carbon, setting intensity standards, and subsidizing clean electricity—and compare their market outcomes under similar expansions of clean electricity generation. Although pricing emissions gives strong incentives to first eliminate generation with the highest social cost, a clean electricity standard incentivizes earliest phaseout of the generation with the highest private cost. We show that the importance of this distinction depends on the correlation between private costs and emissions rates. We then estimate this correlation for US electricity generation and fuel prices as of 2019. The results indicate that the emissions difference between a carbon tax and clean electricity standard that phase out the fossil fuel generation over the same time frame may actually be quite small, though it depends on fossil-fuel prices during the phaseout. We also discuss how each of these policy options is likely to affect electricity prices, quantity demanded, government revenue, and economic efficiency. Large preexisting markups of retail electricity prices over marginal costs are likely to considerably weaken or even reverse the usual assumed efficiency advantage of carbon pricing policies over alternatives, including direct subsidization of clean electricity generation.
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Suggested Citation

  • Severin Borenstein & Ryan Kellogg, 2022. "Carbon Pricing, Clean Electricity Standards, and Clean Electricity Subsidies on the Path to Zero Emissions," NBER Chapters, in: Environmental and Energy Policy and the Economy, volume 4, pages 125-176, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:14705
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    References listed on IDEAS

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    1. Mark R. Jacobsen & Christopher R. Knittel & James M. Sallee & Arthur A. van Benthem, 2020. "The Use of Regression Statistics to Analyze Imperfect Pricing Policies," Journal of Political Economy, University of Chicago Press, vol. 128(5), pages 1826-1876.
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    7. Severin Borenstein & James B. Bushnell, 2022. "Do Two Electricity Pricing Wrongs Make a Right? Cost Recovery, Externalities, and Efficiency," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 80-110, November.
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    Cited by:

    1. Mei Lu & Michael G. Pollitt & Ke Wang & Yi-Ming Wei, 2023. "The incremental impact of China’s carbon trading pilots," Working Papers EPRG2316, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Lu & Pollitt, M. G. & Wang, K. & Wei, Y-M., 2023. "The Incremental Impact of China's Carbon," Cambridge Working Papers in Economics 2349, Faculty of Economics, University of Cambridge.
    3. Nirvikar Singh, 2022. "India’s Strategy for Achieving Net Zero," Energies, MDPI, vol. 15(16), pages 1-11, August.

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    More about this item

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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