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U.S. Carbon Tax Scenarios And Bioenergy

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  • RONALD D. SANDS

    (U.S. Department of Agriculture, Economic Research Service, Washington, D.C., USA)

Abstract

This paper documents application of the Future Agricultural Resources Model (FARM) to stylized carbon tax scenarios specified by the Stanford Energy Modeling Forum (EMF). Model results show that the method of tax revenue recycling makes a difference. Either labor-tax, or capital-tax, recycling can reduce the welfare cost of a carbon tax policy relative to lump sum recycling. Of the two tax recycling options, reducing capital taxes provides the greater reduction in welfare costs. However, carbon tax revenues decline with stringent carbon dioxide (CO2) emission targets and the availability of a negative-emissions technology such as bio-electricity with CO2 capture and storage (BECCS). As BECCS expands, net carbon tax revenues peak and decline due to an offsetting subsidy for carbon sequestration, limiting the potential for labor- or capital-tax recycling to reduce welfare costs of a climate policy.

Suggested Citation

  • Ronald D. Sands, 2018. "U.S. Carbon Tax Scenarios And Bioenergy," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-12, February.
    • Handle: RePEc:wsi:ccexxx:v:09:y:2018:i:01:n:s2010007818400109
    DOI: 10.1142/S2010007818400109
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    References listed on IDEAS

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    1. Sands, Ronald & Jones, Carol & Marshall, Elizabeth P., 2014. "Global Drivers of Agricultural Demand and Supply," Economic Research Report 186137, United States Department of Agriculture, Economic Research Service.
    2. Sands, Ronald D. & Malcolm, Scott A. & Suttles, Shellye A. & Marshall, Elizabeth, 2017. "Dedicated Energy Crops and Competition for Agricultural Land," Economic Research Report 252445, United States Department of Agriculture, Economic Research Service.
    3. Darwin, Roy & Tsigas, Marinos E. & Lewandrowski, Jan & Raneses, Anton, 1995. "World Agriculture and Climate Change: Economic Adaptations," Agricultural Economic Reports 33933, United States Department of Agriculture, Economic Research Service.
    4. Ronald Sands & Hannah Förster & Carol Jones & Katja Schumacher, 2014. "Bio-electricity and land use in the Future Agricultural Resources Model (FARM)," Climatic Change, Springer, vol. 123(3), pages 719-730, April.
    5. Bruno Lanz & Thomas F Rutherford, 2016. "GTAPinGAMS: Multiregional and Small Open Economy Models," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(2), pages 1-77, December.
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    Cited by:

    1. James R. Mcfarland & Allen A. Fawcett & Adele C. Morris & John M. Reilly & Peter J. Wilcoxen, 2018. "Overview Of The Emf 32 Study On U.S. Carbon Tax Scenarios," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-37, February.
    2. Dong-Xiao Yang & Lei Yang & Xiao-Ling Chen & Chan Wang & Pu-Yan Nie, 2023. "Research on credit pricing mechanism in dual-credit policy: is the government in charge or is the market in charge?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1561-1581, February.
    3. Dumortier, Jerome & Elobeid, Amani, 2021. "Effects of a carbon tax in the United States on agricultural markets and carbon emissions from land-use change," Land Use Policy, Elsevier, vol. 103(C).
    4. Allen A. Fawcett & James R. Mcfarland & Adele C. Morris & John P. Weyant, 2018. "Introduction To The Emf 32 Study On U.S. Carbon Tax Scenarios," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-7, February.
    5. Shuyang Chen, 2022. "The inequality impacts of the carbon tax in China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.

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