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Implications of a Carbon-Based Energy Tax for U.S. Agriculture

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  • Schneider, Uwe A.
  • McCarl, Bruce A.

Abstract

Policies to mitigate greenhouse gas emissions are likely to increase energy prices. Higher energy prices raise farmer costs for diesel and other fuels, irrigation water, farm chemicals, and grain drying. Simultaneously, renewable energy options become more attractive to agricultural producers. We consider both of these impacts, estimating the economic and environmental consequences of higher energy prices on U.S. agriculture. To do this we employ a price-endogenous agricultural sector model and solve that model for a range of carbon-tax-based energy price changes. Our results show mostly positive impacts on net farm income in the intermediate run. Through market price adjustments, fossil fuel costs are largely passed on to consumers. Additional farm revenue arises from the production of biofuels when carbon taxes reach $30 per ton of carbon or more. Positive environmental benefits include not only greenhouse gas emission offsets but also reduced levels of nitrogen leaching.

Suggested Citation

  • Schneider, Uwe A. & McCarl, Bruce A., 2005. "Implications of a Carbon-Based Energy Tax for U.S. Agriculture," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 265-279, October.
    • Handle: RePEc:cup:agrerw:v:34:y:2005:i:02:p:265-279_00
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    References listed on IDEAS

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    1. Puppim de Oliveira, J. A., 2002. "The policymaking process for creating competitive assets for the use of biomass energy: the Brazilian alcohol programme," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 129-140.
    2. Spreen, Thomas H., 2006. "Price Endogenous Mathematical Programming Models and Trade Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(2), pages 1-5, August.
    3. Ribaudo, Marc O., 1989. "Water Quality Benefits from the Conservation Reserve Program," Agricultural Economic Reports 308069, United States Department of Agriculture, Economic Research Service.
    4. Hayri Önal & Bruce A. McCarl, 1991. "Exact Aggregation in Mathematical Programming Sector Models," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 39(2), pages 319-334, July.
    5. Chen, Chi-Chung & McCarl, Bruce A., 2000. "The Value Of Enso Information To Agriculture: Consideration Of Event Strength And Trade," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-18, December.
    6. Alig, Ralph J. & Adams, Darius M. & McCarl, Bruce A., 1998. "Impacts of Incorporating Land Exchanges Between Forestry and Agriculture in Sector Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 30(2), pages 389-401, December.
    7. Bruce A. McCarl & Thomas H. Spreen, 1980. "Price Endogenous Mathematical Programming As a Tool for Sector Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(1), pages 87-102.
    8. Moreira, Jose R. & Goldemberg, Jose, 1999. "The alcohol program," Energy Policy, Elsevier, vol. 27(4), pages 229-245, April.
    9. Uwe Schneider & Bruce McCarl, 2003. "Economic Potential of Biomass Based Fuels for Greenhouse Gas Emission Mitigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(4), pages 291-312, April.
    10. Konyar, Kazim & Howitt, Richard E., 2000. "The Cost Of The Kyoto Protocol To U.S. Crop Production: Measuring Crop Price, Regional Acreage, Welfare, And Input Substitution Effects," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-21, December.
    11. Ching-Cheng Chang & Bruce A. McCarl & James W. Mjelde & James W. Richardson, 1992. "Sectoral Implications of Farm Program Modifications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(1), pages 38-49.
    12. Uwe A. Schneider & Bruce A. McCarl, 2002. "Potential of U.S. Agriculture and Forestry to Mitigate Greenhouse Gas Emissions: An Agricultural Sector Analysis, The," Center for Agricultural and Rural Development (CARD) Publications 02-wp300, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    13. Antle, John M. & Capalbo, Susan M. & Johnson, James B. & Miljkovic, Dragan, 1999. "The Kyoto Protocol: Economic Effects of Energy Prices on Northern Plains Dryland Grain Production," Agricultural and Resource Economics Review, Cambridge University Press, vol. 28(1), pages 96-105, April.
    14. Schneider, Uwe A. & Kumar, Pushpam, 2008. "Greenhouse Gas Mitigation through Agriculture," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 23(1), pages 1-5.
    15. Harry S. Baumes & Bruce A. McCarl, 1978. "Linear Programming And Social Welfare: Model Formulation And Objective Function Alternatives," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 26(3), pages 53-60, November.
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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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