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An Empirical Analysis of Internet Use by U.S. Farmers

  • Mishra, Ashok K.
  • Park, Timothy A.

The Internet may reduce constraints on a farmerÂ’s ability to receive and manage information, regardless of where the farm is located or when the information is used. Using a count data estimation procedure, this study attempts to examine the key farm, operator, regional, and household characteristics that influence the number of Internet applications used by farm households. Findings indicate that educational level of the farm operator, farm size, farm diversification, off-farm income, off-farm investments, and regional location of the farm have a significant impact on the number of Internet applications used.

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File URL: http://purl.umn.edu/10234
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Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 34 (2005)
Issue (Month): 2 (October)
Pages:

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Handle: RePEc:ags:arerjl:10234
Contact details of provider: Web page: http://www.narea.org/

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  1. Perry, Janet E. & Mishra, Ashok K., 1999. "Forward Contracting Of Inputs: A Farm-Level Analysis," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 17(2).
  2. Amponsah, William A., 1995. "Computer Adoption And Use Of Information Services By North Carolina Commercial Farmers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(02), December.
  3. Huffman, Wallace & Mercier, S., 1991. "Joint Adoption of Microcomputer Technologies: An Analysis of Farmers' Decisions," Staff General Research Papers 10989, Iowa State University, Department of Economics.
  4. Bruce Mcwilliams & Yacov Tsur & Eithan Hochman & David Zilberman, 1998. "Count-data regression models of the time to adopt new technologies," Applied Economics Letters, Taylor & Francis Journals, vol. 5(6), pages 369-373.
  5. Hoag, Dana L. & Ascough, James C. & Frasier, W. Marshall, 1999. "Farm Computer Adoption In The Great Plains," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(01), April.
  6. H. Frederick Gale, 1998. "Rural Manufacturing on the Crest of the Wave: A Count Data Analysis of Technology Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 347-359.
  7. Lazarus, William F. & Streeter, Deborah H. & Jofre-Giraudo, Eduardo, 1989. "Impact Of Management Information Systems On Dairy Farm Profitability," Staff Papers 14053, University of Minnesota, Department of Applied Economics.
  8. Harwood, Joy L. & Heifner, Richard G. & Coble, Keith H. & Perry, Janet E. & Somwaru, Agapi, 1999. "Managing Risk in Farming: Concepts, Research, and Analysis," Agricultural Economics Reports 34081, United States Department of Agriculture, Economic Research Service.
  9. Liu, Jin-Tan & Tsou, Meng-Wen & Hammitt, James K, 2001. "The Impact of Advanced Technology Adoption on Wage Structures: Evidence from Taiwan Manufacturing Firms," Economica, London School of Economics and Political Science, vol. 68(271), pages 359-78, August.
  10. Merlin M. Hackbart & Donald A. Anderson, 1978. ""On Measuring Economic Diversification": Reply," Land Economics, University of Wisconsin Press, vol. 54(1), pages 110-112.
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