Hostname: page-component-76fb5796d-x4r87 Total loading time: 0 Render date: 2024-04-29T18:03:38.384Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Published online by Cambridge University Press:  15 September 2016

Ashok K. Mishra  and
Timothy A. Park
Ashok K. Mishra
Affiliation:
Economic Research Service, U.S. Department of Agriculture, in Washington, D.C.
Timothy A. Park
Affiliation:
Department of Applied Economics at the University of Georgia, Athens
Get access

Abstract

The Internet may reduce constraints on a farmer'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.

Keywords

computerscount data methodeducationfarm householdsInternet applications
Type
Contributed Papers
Information
Agricultural and Resource Economics Review , Volume 34 , Issue 2 , October 2005 , pp. 253 - 264
Copyright
Copyright © 2005 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amponsah, W.A. 1995. “Computer Adoption and Use of Information Services by North Carolina Commercial Farmers.” Journal of Agricultural and Applied Economics 27(2): 565–576.Google Scholar
Atkinson, R.D., Court, R.H., and Ward, J.M. 1999. “The State New Economy Index: Benchmarking Economic Transformation in the States.” Progressive Policy Institute, Washington, D.C. Available online at http://www.neweconomy[-]index.org (accessed March 20, 2003).Google Scholar
Batte, M.T. 2004. “Computer Adoption and Use by Ohio Farmers.” Journal of the American Society of Farm Managers and Rural Appraisers 67(1): 108–111.Google Scholar
Batte, M.T. 2005. “Changing Computer Use in Agriculture: Evidence from Ohio.” Computers and Electronics in Agriculture 47(1): 1–13.Google Scholar
Batte, M.T., Jones, E., and Schnitkey, G.D. 1990. “Computer Use by Ohio Commercial Farmers.” American Journal of Agricultural Economics 72(4): 935–945.Google Scholar
Batte, M.T., Schnitkey, G.D., Rister, M.E., and Frank, G. 1995. “Farm Information Systems Design and Use.” In Adoption and Use of Information Systems. North Central Regional Research Publication 339, OARDC Special Circular 149, Ohio Agricultural Research and Development Center, Columbus, Ohio.Google Scholar
Cameron, A., and Trivedi, P. 1986 “Econometric Models Based on Count Data: A Comparison and Implications of Some Estimators and Tests.” Journal of Applied Econometrics 1(1): 29–53.CrossRefGoogle Scholar
Cincer, M. 1997. “Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Data Models.” Journal of Applied Econometrics 12(3): 265–280.3.0.CO;2-J>CrossRefGoogle Scholar
Farm Futures. 1998. Issue No. 5 (mid-March), Agridata Resources, Milwaukee, WI.Google Scholar
Gale, H.F. 1998. “Rural Manufacturing on the Crest of Waves: A Count Data Analysis of Technology Use.” American Journal of Agricultural Economics 80(2): 347–359.Google Scholar
Greenstein, S. 2004. “Diamonds Are Forever, Computers Are Not: Economic and Strategic Management in Computing Markets.” London: Imperial College Press.Google Scholar
Hackbart, M.M., and Anderson, D.A. 1978. “On Measuring Economic Diversification: Reply.” Land Economics 54(1): 110–112.Google Scholar
Harwood, J.L., Heifner, R.G., Coble, K.H., Perry, J.E., and Somwaru, A. 1999. “Managing Risk in Farming: Concepts, Research, and Analysis.” Agricultural Economics Report No. 774, Economic Research Service, U.S. Department of Agriculture, Washington, D.C.Google Scholar
Hausman, J.B., Hall, H., and Griliches, Z. 1984. “Econometric Models for Count Data with an Application to the Patents-R&D Relationship.” Econometrica 52(4): 909–938.Google Scholar
Hoag, D.L., Ascough, J.C. II, and Frasier, W. 1991. “Farm Computer Adoption in the Great Plains.” Journal of Agricultural and Applied Economics 31(1): 57–67.CrossRefGoogle Scholar
Huffman, W.E. 2001. “Human Capital: Education and Agriculture.” In Gardner, B.L. and Rausser, G.C., eds., Handbook of Agricultural Economics (Vol. 1A). New York: Elsevier.Google Scholar
Huffman, W.E., and Mercier, S. 1991. “Joint Adoption of Microcomputer Technologies: An Analysis of Farmers' Decisions.” Review of Economics and Statistics 73(3): 541–546.CrossRefGoogle Scholar
Khaldi, N. 1975. “Education and Allocative Efficiency in U.S. Agriculture.” American Journal of Agricultural Economics 57(4): 650–657.Google Scholar
Lazarus, W.F., and Smith, T.R. 1988. “Adoption of Computers and Consultant Services by New York Dairy Farmers.” Journal of Dairy Science 71(6): 1667–1675.Google Scholar
Lazarus, W.F., Streeter, D., and Jofre-Giraudo, E. 1989. “Impact of Management Information Systems on Dairy Farm Profitability.” Paper presented at the American Agricultural Economics Association's annual meetings, Louisiana State University, Baton Rouge.Google Scholar
Lipton, K. 1999. “New U.S. Farm Resource Regions.” Economic Research Service, U.S. Department of Agriculture, Washington, D.C. Available online at http://www.econ.ag.gov/whatsnew/issues/regions/index.htm (accessed July 27, 2002).Google Scholar
Liu, J.-T., Tsou, M.-W., and Hammitt, J.K. 2001. “The Impact of Advanced Technology Adoption on Wage Structures: Evidence from Taiwan Manufacturing Firms.” Economica 68(271): 359–378.Google Scholar
McWilliams, B., Tsur, Y., Hochman, E., and Zilberman, D. 1998. “Count Data Regression Models of the Time to Adopt New Technology.” Applied Economics Letters 5(6): 369–373.Google Scholar
Mishra, A.K., and Perry, J.E. 1999. “Forward Contracting of Inputs: A Farm-Level Analysis.” Journal of Agribusiness 17(2): 77–92.Google Scholar
NASS [see National Agricultural Statistics Service].Google Scholar
National Agricultural Statistics Service. 2001. Agricultural Economics and Land Ownership Survey, 1999 (Vol. 3). National Agricultural Statistics Service, U.S. Department of Agriculture, Washington, D.C. Google Scholar
National Agricultural Statistics Service. 2003. “Farm Computer Usage and Ownership.” Agricultural Statistics Board, National Agricultural Statistics Service, U.S. Department of Agriculture, Washington D.C. Available online at http://usda.manlib.cornell.edu/reports/nassr/other/computer (accessed November 21, 2004).Google Scholar
Nelson, R.R., and Phelps, E.S. 1966. “Investment in Humans, Technological Diffusion, and Economic Growth.” American Economic Review 56(2): 69–82.Google Scholar
Ortmann, G., Patrick, G., and Musser, W. 1994. “Use and Rating of Computers by Large-Scale U.S. Cornbelt Farmers.” Computers and Electronics in Agriculture 10(1): 31–43.CrossRefGoogle Scholar
Putler, D.S., and Zilberman, D. 1988. “Computer Use in Agriculture: Evidence from Tulare County, California.” American Journal of Agricultural Economics 70(4): 790–802.Google Scholar
Rahm, M.R., and Huffman, W. 1984. “The Adoption of Reduced Tillage: The Role of Human Capital and Other Variables.” American Journal of Agricultural Economics 66(4): 405–413.Google Scholar
Theil, H. 1972. Statistical Decomposition Analysis. Amsterdam: North-Holland.Google Scholar
Welch, F. 1970. “Education in Production.” Journal of Political Economy 78(1): 35–39.CrossRefGoogle Scholar
Willimack, D.K. 1989. “The Financial Record Keeping Practices of U.S. Farm Operators and Their Relationship to Selected Operator Characteristics.” Paper presented at the American Agricultural Economics Association's annual meetings, Louisiana State University, Baton Rouge.Google Scholar
Winkelmann, R., and Zimmermann, K.F. 1995. “Recent Development in Count Data Modelling: Theory and Application.” Journal of Economic Surveys 9(1): 1–24.Google Scholar
Wozniak, G.D. 1989. “The Adoption of Interrelated Innovations: A Human Capital Approach.” Review of Economics and Statistics 66(1): 70–79.Google Scholar