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A classification framework for carbon tax revenue use

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  • Lee-Ann Steenkamp

Abstract

Carbon pricing could assist in the dual pursuit of mitigating global climate change and contributing to government coffers. The way in which a government allocates carbon tax revenues is a key factor in the public’s acceptance of carbon pricing policy and ultimately in its enduring success. To that end, this article presents an innovative, simple classification framework of carbon tax revenue usage which has four modalities to cater for various policy design features. These are: a constrained approach as opposed to an unconstrained one; a revenue-neutral recycling approach as opposed to a revenue-raising one; an approach according to public preference; and a thematic approach. Thereafter, various attributes are examined to assist policymakers in selecting an appropriate modality. The classification framework will be useful for policymakers as a quick point of reference before embarking on more complex and in-depth policy deliberations.Key policy insights Carbon pricing is the most cost-effective regulatory approach for reducing greenhouse gas emissions and is recognized as a significant contributor to government revenue.Carbon tax revenue use can be classified into four overarching modalities to cater for various policy design attributes.There is no dominating revenue use option from an economic or political viewpoint, owing to trade-offs across various fiscal policy objectives.Carbon taxes are elements of broader tax reform and therefore revenue use options should be aligned with a jurisdiction’s broader fiscal policy charter.

Suggested Citation

  • Lee-Ann Steenkamp, 2021. "A classification framework for carbon tax revenue use," Climate Policy, Taylor & Francis Journals, vol. 21(7), pages 897-911, August.
  • Handle: RePEc:taf:tcpoxx:v:21:y:2021:i:7:p:897-911
    DOI: 10.1080/14693062.2021.1946381
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    Cited by:

    1. Sordi, Serena & Dávila-Fernández, Marwil J., 2023. "The green-MKS system: A baseline environmental macro-dynamic model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1056-1085.
    2. Weijiang Liu & Min Liu & Tingting Liu & Yangyang Li & Yizhe Hao, 2022. "Does a Recycling Carbon Tax with Technological Progress in Clean Electricity Drive the Green Economy?," IJERPH, MDPI, vol. 19(3), pages 1-18, February.
    3. Distefano, Tiziano & D’Alessandro, Simone, 2023. "Introduction of the carbon tax in Italy: Is there room for a quadruple-dividend effect?," Energy Economics, Elsevier, vol. 120(C).
    4. Victor-Gallardo, Luis & Zúñiga, Mónica Rodríguez & Quirós-Tortós, Jairo & Jaramillo, Marcela & Vogt-Schilb, Adrien, 2024. "Policy options to mitigate the fiscal impact of road transport decarbonization: Application to Costa Rica," Energy Policy, Elsevier, vol. 185(C).
    5. Freida Ozavize Ayodele & Siti Indati Mustapa & Bamidele Victor Ayodele, 2023. "The Potential of Renewable Energy Green Financing through Carbon Taxation to Achieve Net-Zero Emissions Target," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 388-396, November.
    6. Li, Yangfan & Zhang, Xiaoyun, 2023. "Recycling scheme of carbon pricing for inclusive decarbonization and energy transition: A recursive computable general equilibrium analysis in China," Renewable Energy, Elsevier, vol. 217(C).
    7. Dütschke, Elisabeth & Preuß, Sabine & Brunzema, Iska & Piria, Raffaele, 2023. "Using the revenues from carbon pricing - Insights into the acceptance and perceptions of particularly burdened groups," Energy Policy, Elsevier, vol. 175(C).
    8. Muth, Daniel, 2023. "Pathways to stringent carbon pricing: Configurations of political economy conditions and revenue recycling strategies. A comparison of thirty national level policies," Ecological Economics, Elsevier, vol. 214(C).

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