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Internet Access and Internet Purchasing Patterns of Farm Households

Published online by Cambridge University Press:  15 September 2016

Ashok K. Mishra
Affiliation:
Department of Agricultural Economics and Agribusiness at Louisiana State University AgCenter in Baton Rouge, Louisiana
Robert P. Williams
Affiliation:
Economic Research Service, U.S. Department of Agriculture, in Washington, D.C.
Joshua D. Detre
Affiliation:
Department of Agricultural Economics and Agribusiness at Louisiana State University AgCenter in Baton Rouge, Louisiana

Abstract

The Internet is becoming an increasingly important management tool in production agriculture. Using data from the 2004 Agricultural Resource Management Survey (ARMS) and a double-hurdle estimation approach, we explore the adoption of computers with Internet access by and Internet purchasing patterns of farm households. Adoption of the Internet is positively related to age and education of the operator, off-farm work, presence of spouse, participation in government programs, farm size, and regional location of the farm. Internet purchasing patterns of farm households are positively related to the education of the operator and spouse, presence of teenagers, and regional location of the farm. Finally, farm businesses and their households are more likely to purchase a greater percentage of non-durable goods through the Internet as distances to markets increase.

Type
Contributed Papers
Copyright
Copyright © 2009 Northeastern Agricultural and Resource Economics Association 

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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): 565576.CrossRefGoogle Scholar
Aristei, D., and Pieroni, L. 2008. “A Double-Hurdle Approach to Modeling Tobacco Consumption in ItalyJournal of Applied Economics 40(19): 24632476.CrossRefGoogle 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): 108111.Google Scholar
Batte, M.T. 2005. “Changing Computer Use in Agriculture: Evidence from Ohio.” Computers and Electronics in Agriculture 47(1): 113.CrossRefGoogle Scholar
Batte, M.T., and Ernst, S. 2007. “Net Gains from ’Net Purchases? Farmers’ Preferences for Online and Local Input Purchases.” Agricultural and Resource Economics Review 36(1): 8494.CrossRefGoogle Scholar
Batte, M.T., Jones, E., and Schnitkey, G.D. 1990. “Computer Use by Ohio Commercial Farmers.” American Journal of Agricultural Economics 72(4): 935945.CrossRefGoogle Scholar
Baum, C. 2006. An Introduction to Modern Econometrics Using STATA. College Station, TX: Stata Press.Google Scholar
Blundell, R., and Meghir, C. 1987. “Bivariate Alternatives to the Tobit Model.” Journal of Econometrics 34(1/2): 179200.CrossRefGoogle Scholar
Cameron, A., and Trivedi, P. 2005. Microeconometrics: Methods and Applications. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Cohen, S., DeLong, J.B., Weber, S., and Zysman, J. 2001. “Tools: The Drivers of E-Commerce.Tracking a Transformation: E-Commerce and the Terms of Competition in Industries. Washington, D.C.: Brookings Institution Press.Google Scholar
Cragg, J.G. 1971. “Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods.” Econometrica 39(5): 829844.CrossRefGoogle Scholar
Ehmke, C., Hopkins, S.E.J., and Tweeten, L. 2001. “The Market for E-Commerce Service in Agriculture.” Working Paper No. AEDE-WP-0012-01, Department of Agricultural, Environmental, and Development Economics, Ohio State University, Columbus, OH.Google Scholar
Feder, G., and Slade, R. 1984. “The Acquisition of Information and the Adoption of New Technology.” American Journal of Agricultural Economics 66(3): 312320.CrossRefGoogle Scholar
Ferreira, W. 1999. “An Evaluation of the Use of Computers, the Internet and Decision-Making Tools by Selected South-eastern Beef and Peanut Farm Leaders.” M.S. thesis, Auburn University, Auburn, AL.Google Scholar
Foltz, J., and Zeuli, K. 2005. “The Role of Community and Farm Characteristics in Farm Input Purchasing Patterns.” Review of Agricultural Economics 27(4): 508525.CrossRefGoogle Scholar
Goodwin, B.K., and Mishra, A.K. 2004. “Farming Efficiency and the Determinants of Multiple Job Holding by Farm Operators.” American Journal of Agricultural Economics 86(3): 722729.CrossRefGoogle Scholar
Goodwin, B.K., Mishra, A.K., and Ortalo-Magne, F. 2003. “What's Wrong with Our Models for Agricultural Land Values?American Journal of Agricultural Economics 85(3): 744752.CrossRefGoogle Scholar
Heckman, J. 1979. “Sample Selection Bias as a Specification Error.” Econometrica 47(1): 153161.CrossRefGoogle Scholar
Henderson, J., Dooley, F., and Akridge, J. 2004. “Internet and E-Commerce Adoption by Agricultural Firms.” Review of Agricultural Economics 26(4): 505520.CrossRefGoogle Scholar
Henderson, D., Tweeten, L., and Schreiner, D. 1989. “Community Ties to the Farm.” Rural Development Perspectives 5(3): 3135.Google Scholar
Hoag, D.L., Ascough, J.C. II, and Frasier, W. 1999. “Farm Computer Adoption in the Great Plains.” Journal of Agricultural and Applied Economics 31(1): 5767.CrossRefGoogle Scholar
Holt, D. 1985. “Computers in Production Agriculture.” Science 228(4698): 422427.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): 541546.CrossRefGoogle Scholar
Jones, A.M. 1989. “A Double-Hurdle Model of Cigarette Consumption.” Journal of Applied Econometrics 4(1): 2339.CrossRefGoogle Scholar
Kinsey, J. 2001. “Electronic Systems in the Food Industry: Entropy, Speed, and Sales.” Tracking a Transformation: E-Commerce and the Terms of Competition in Industries. Washington, D.C.: Brookings Institution Press.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): 16671675.CrossRefGoogle Scholar
Lewis, T. 1998. “Evolution of Farm Management Information Systems.” Computers and Electronics in Agriculture 19(3): 233248.CrossRefGoogle Scholar
Martinez-Espineira, R. 2006. “A Box-Cox Double-Hurdle Model of Wildlife Valuation: The Citizen's Perspective.” Ecological Economics 58(1): 192208.CrossRefGoogle Scholar
McDowell, A. 2003. “From the Help Desk: Hurdle Models.” The Stata Journal 3(2): 178184.CrossRefGoogle Scholar
Mishra, A.K., and Park, T. 2005. “An Empirical Analysis of Internet Use by U.S. Farmers.Agricultural and Resource Economics Review 34(2): 253264.CrossRefGoogle Scholar
Nielsen//NetRatings. 2004. “Three Out of Four Americans Have Access to the Internet, According to Nielsen//NetRatings.Nielsen//NetRatings Enumeration Study.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): 3143.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): 790802.CrossRefGoogle Scholar
Shaffer, R. 1989. Community Economics: Economic Structure and Change in Smaller Communities. Ames, IA: Iowa State University Press.Google Scholar
Shrestha, R.K., Alavalapati, J.R.R., Seidl, A.F., Weber, K.E., and Suselo, T.B. 2007. “Estimating the Local Cost of Protecting Koshi Tappu Wildlife Reserve, Nepal: A Contingent Valuation Approach.” Environment, Development and Sustainability 9(4): 413426.CrossRefGoogle Scholar
Smith, M.D. 2003. “On Dependency in Double-Hurdle Models.” Statistical Papers 44(4): 581595.CrossRefGoogle Scholar
Su, S., and Yen, S. 1996. “Microeconometric Models of Infrequently Purchased Goods: An Application to Household Pork Consumption.” Empirical Economics 21(4): 513533.CrossRefGoogle Scholar
U.S. Department of Agriculture. 2004. “Agricultural Resource Management Survey 2004.Economic Research Service, U.S. Department of Agriculture, Washington, D.C. Google Scholar
Wellman, B., Salaff, J., Dimitrova, D., Garton, L., Gulia, M., and Haythornthwaite, C. 1996. “Computer Networking as Social Networks: Collaborative Work, Telework, and Virtual Community.” Annual Review of Sociology 22(1): 213238.CrossRefGoogle Scholar
Willimack, D.K. 1989. “The Financial Record Keeping Practices of U.S. Farm Operators and Their Relationship to Selected Operator Characteristics.” In Proceedings of the American Agricultural Economics Association Annual Meeting. Baton Rouge, LA: Louisiana State University.Google Scholar
Wojan, T.R. 2003. “Can Computer Use on the Farm Build Skills for Off-Farm Jobs?Rural Conditions and Trends 10(2): 4349.Google Scholar
Woolridge, J. 2002. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.Google Scholar