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How to price carbon in good times … and bad!

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  • Baran Doda

Abstract

Emissions trading systems and carbon taxes are two market‐based policy instruments for responding to the climate change externality. This article focuses on the relationship between the design of these carbon pricing instruments and business cycle fluctuations. In particular, whether and how these instruments should respond to business cycles is a topical policy question. To answer it, the article brings together the relevant empirical and theoretical results from the academic literature. It finds that building responsiveness into the design of carbon pricing instruments can reduce the burden of regulation by distributing it more evenly over time. Specifically, relative to a fixed cap emissions trading system, this can be achieved by relaxing the cap during economic expansions and tightening it during recessions. Similarly, a carbon tax regime in which the tax is higher during expansions, and lower during recessions, is likely to improve welfare compared to a cyclically unresponsive tax. In practice, a mechanism which renders real‐world carbon pricing instruments responsive is challenging to construct. The article provides an overview of the trade‐offs involved by focusing on the broad classes of mechanisms explored in the literature. The choice of responsiveness‐inducing mechanism must crucially consider country characteristics such as the properties of fluctuations in the country's GDP and emissions, any relevant political economy concerns and its institutional background. WIREs Clim Change 2016, 7:135–144. doi: 10.1002/wcc.375 This article is categorized under: Climate Economics > Economics of Mitigation

Suggested Citation

  • Baran Doda, 2016. "How to price carbon in good times … and bad!," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 7(1), pages 135-144, January.
  • Handle: RePEc:wly:wirecc:v:7:y:2016:i:1:p:135-144
    DOI: 10.1002/wcc.375
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    Cited by:

    1. Traeger, Christian & Karp, Larry, 2021. "Smart Cap," CEPR Discussion Papers 15941, C.E.P.R. Discussion Papers.
    2. Thomas D. Jeitschko & Pallavi Pal, 2021. "Curbing Price Fluctuations in Cap-and-Trade Auctions," CESifo Working Paper Series 9266, CESifo.
    3. Jussi Lintunen & Lauri Vilmi, 2021. "Optimal Emission Prices Over the Business Cycles," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(1), pages 135-167, September.
    4. Oluwatoyin J. Gbadeyan & Joseph Muthivhi & Linda Z. Linganiso & Nirmala Deenadayalu, 2024. "Decoupling Economic Growth from Carbon Emissions: A Transition toward Low-Carbon Energy Systems—A Critical Review," Clean Technol., MDPI, vol. 6(3), pages 1-38, August.
    5. Hua, Weiqi & Chen, Ying & Qadrdan, Meysam & Jiang, Jing & Sun, Hongjian & Wu, Jianzhong, 2022. "Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    6. Feng Xiong & Xiaoyu Zeng & Yi (Fionna) Xie & Yan Li, 2022. "Design (Allocation) of a Carbon Emission System—A Lesson from Power Restrictions in Zhejiang, China," Sustainability, MDPI, vol. 14(19), pages 1-31, September.
    7. Karp, Larry & Traeger, Christian, 2024. "Taxes versus quantities reassessed," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).

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