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

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

Abstract

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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Bibliographic Info

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

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Web page: http://www.narea.org/
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Related research

Keywords: computers; count data method; education; farm households; Internet applications; Farm Management;

References

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  1. 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.
  2. 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).
  3. 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.
  4. 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.
  5. 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.
  6. Merlin M. Hackbart & Donald A. Anderson, 1978. ""On Measuring Economic Diversification": Reply," Land Economics, University of Wisconsin Press, vol. 54(1), pages 110-112.
  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. 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.
  9. 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.
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Citations

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Cited by:
  1. Uematsu, Hiroki & Mishra, Ashok K., 2011. "Use of Direct Marketing Strategies by Farmers and Their Impact on Farm Business Income," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(1), April.
  2. Mishra, Ashok K. & Williams, Robert P., 2006. "Internet Access and Use by Farm Households," 2006 Annual meeting, July 23-26, Long Beach, CA 21106, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Briggeman, Brian C. & Whitacre, Brian E., 2008. "Farming and the Internet: Factors Affecting Input Purchases Online and Reasons for Non-Adoption," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6871, Southern Agricultural Economics Association.
  4. Xu, Wan & Khachatryan, Hayk, 2013. "The Impact of Integrated Pest Management Practices on U.S. National Nursery Industry Annul Sales Revenue: An Application of Smooth Transition Spatial Autoregressive Models," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142961, Southern Agricultural Economics Association.
  5. Briggeman, Brian C. & Whitacre, Brian E., 2010. "Farming and the Internet: Reasons for Non-Use," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(3), October.
  6. Pandit, Mahesh & Paudel, Krishna P. & Hinson, Roger A., 2012. "Intensity of Integrated Pest Management (IPM) Practices Adoption by U.S. Nursery Crop Producers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124942, Agricultural and Applied Economics Association.
  7. Mishra, Ashok K. & Williams, Robert P. & Detre, Joshua D., 2009. "Internet Access and Internet Purchasing Patterns of Farm Households," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 38(2), October.

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