IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Implications Of A Carbon Based Energy Tax For U.S. Agriculture

  • Uwe A. Schneider

    ()

    (Research unit Sustainability and Global Change)

  • Bruce A. McCarl

Policies to mitigate greenhouse gas emissions are likely to increase the prices for fossil fuel based energy. Higher energy prices would raise farmers' expenditure on machinery fuels, irrigation water, farm chemicals, and grain drying. To compute the economic net impacts of increased farm input costs on agricultural production after market adjustment, we employ a price endogenous sector model for United States agriculture. Results show little impact on net farm income in the intermediate run.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.fnu.zmaw.de/fileadmin/fnu-files/publication/working-papers/engtaxag_FNU17.pdf
File Function: First version, 2003
Download Restriction: no

Paper provided by Research unit Sustainability and Global Change, Hamburg University in its series Working Papers with number FNU-17.

as
in new window

Length: 22 pages
Date of creation: Jan 2003
Date of revision: Jan 2003
Handle: RePEc:sgc:wpaper:17
Contact details of provider: Postal: Bundesstrasse 55, 20146 Hamburg
Phone: +49 40 42838 6593
Fax: +49 40 42838 7009
Web page: http://www.fnu.zmaw.de/

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Uwe Schneider & Bruce McCarl, 2003. "Economic Potential of Biomass Based Fuels for Greenhouse Gas Emission Mitigation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 24(4), pages 291-312, April.
  2. 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(02), December.
  3. 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.
  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, 07.
  5. 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(02), December.
  6. Spreen, Thomas H., 2006. "Price Endogenous Mathematical Programming Models and Trade Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(02), August.
  7. 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.
  8. Schneider, Uwe A. & Kumar, Pushpam, 2008. "Greenhouse Gas Mitigation through Agriculture," Choices, Agricultural and Applied Economics Association, vol. 23(1).
  9. 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, Southern Agricultural Economics Association, vol. 30(02), December.
  10. Antle, John M. & Capalbo, Susan Marie & 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, Northeastern Agricultural and Resource Economics Association, vol. 28(1), April.
  11. Moreira, Jose R. & Goldemberg, Jose, 1999. "The alcohol program," Energy Policy, Elsevier, vol. 27(4), pages 229-245, April.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:sgc:wpaper:17. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Uwe Schneider)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.