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Staying in Touch through Extension: An Analysis of Farmers' Use of Alternative Extension Information Products

Published online by Cambridge University Press:  26 January 2015

Lauren E. Jones ,
Florian Diekmann  and
Marvin T. Batte
Lauren E. Jones
Affiliation:
Department of Policy Analysis and Management, Cornell University, Ithaca, NY
Florian Diekmann
Affiliation:
University Libraries, The Ohio State University, Columbus, OH
Marvin T. Batte
Affiliation:
Fred N. VanBuren Professorship in the Department of Agricultural, Environmental, and Development Economics, The Ohio State University, Columbus, OH
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Abstract

The U.S. farming industry is evolving quickly. It is therefore important that state Extension services be prepared to evolve as well. This study uses data collected in a 2007 survey of Ohio farmers to evaluate likelihood and frequency of use of various services offered by Extension as well as overall satisfaction with Extension services. Results indicate that tailoring of topics and communication methods to type of farm and/or farmer informational needs could improve the use of Extension resources. This implies that targeting of information products and methods may improve the performance of Extension education programs and customer satisfaction.

Keywords

communication methodsdouble hurdle modelExtension information demandExtension satisfactionvalue of informationQ10Q12Q16
Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 42 , Issue 2 , May 2010 , pp. 229 - 246
Copyright
Copyright © Southern Agricultural Economics Association 2010

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References

Ahearn, M. “Farm Household Economics and Well-Being: A Glossary.” U.S. Department of Agriculture, Economic Research Service. Internet site: http://www.ers.usda.gov/BRIEFING/WellBeing/glossary.htm (Accessed December 15, 2008).Google Scholar
Ahearn, M., Yee, J., and Bottum, J. “Regional Trends in Extension System Resources,” Agriculture Information Bulletin No.781, Washington, DC: U.S. Department of Agriculture, Economic Research Service, 2003.Google Scholar
Batte, M.T., Jones, E., and Schnitkey, G.D. “Computer Use by Ohio Commercial Farmers.” American Journal of Agricultural Economics 72,3(1990):935–45.CrossRefGoogle Scholar
Boehlje, M., and King, D.A. “Extension on the Brink-Meeting the Private Sector Challenge in the Information Marketplace.” Journal of Applied Communications 82,3(1998):21–35.CrossRefGoogle Scholar
Dillman, D.A.Mail and Internet Surveys: The Tailored Design Method. Indianapolis, IN: Wiley, 2006.Google Scholar
Dooley, F.J., and Fulton, J.F. “The State of Agribusiness Teaching, Research, and Extension at the Turn of the Millennium.” American Journal of Agricultural Economics 81,5(1999):1042–49.CrossRefGoogle Scholar
Ford, S.A., and Babb, E.M. “Farmer Sources and Uses of Information.” Agribusiness 5,5(1989):465–76.3.0.CO;2-6>CrossRefGoogle Scholar
Hoppe, R.A., Banker, D.E., Korb, P., and Mac-Donald, J. “America's Diverse Family Farms, 2007 Edition,” Economic Information Bulletin No. 26. Washington, DC: U.S. Department of Agriculture, Economic Research Service, 2007.Google Scholar
Ilvento, T.W. “Expanding the Role and Function of the Cooperative Extension System in the University Setting.” Agricultural and Resource Economics Review 26,2(1997):153–65.CrossRefGoogle Scholar
Jones, E., Batte, M.T., and Schnitkey, G.D. “The Impact of Economic and Socioeconomic Factors on the Demand for Information: A Case Study of Ohio Commercial Farmers.” Agribusiness 5,6(1989):557–71.3.0.CO;2-D>CrossRefGoogle Scholar
Jones, R., Goheen, A., Dhuyvetter, K., Kastens, T., and Amanor-Boadu, V. “Using Distance Education in Extension Programming.” Journal of Agricultural and Applied Economics 39,2(2007):265–74.CrossRefGoogle Scholar
Knutson, R.D. “Restructuring Agricultural Economics Extension to Meet Changing Needs.” American Journal of Agricultural Economics 68,5(1986):1297–306.CrossRefGoogle Scholar
Lohr, L., and Park, T.A. “Testing Nonlinear Logit Models of Performance Effectiveness Ratings: Cooperative Extension and Organic Farmers.” Journal of Agricultural and Applied Economics 40,2(2008):667–79.CrossRefGoogle Scholar
Martin, M.V. “The Land-Grant University in the 21st Century.” Journal of Agricultural and Applied Economics 33,2(2001):377–80.CrossRefGoogle Scholar
McDowell, G.R.Land-Grant Universities and Extension into the 21st Century: Renegotiating or Abandoning a Social Contract. Ames, IA: Iowa State University Press, 2001.Google Scholar
NASS. 2007 Census of Agriculture. Washington, DC: U.S. Department of Agriculture, National Agricultural Statistics Service, 2009.Google Scholar
Putler, D.S., and Zilberman, D. “Computer Use in Agriculture: Evidence from Tulare County, California.” American Journal of Agricultural Economics 70,3(1988):790–802.CrossRefGoogle Scholar
Schnitkey, G., Batte, M.T., Jones, E., and Boto-mogno, J. “Information Preferences of Ohio Commercial Farmers: Implications for Extension.” American Journal of Agricultural Economics 74,2(1992):486–96.CrossRefGoogle Scholar
Suvedi, M., Lapinski, M.K., and Campo, S. “Farmers' Perspectives of Michigan State University Extension: Trends and Lessons from 1996 and 1999,” Journal of Extension 38,1(2000):1FEA4.Google Scholar
Tweeten, L.G., and Amponsah, WA. “Alternatives for Small Farm Survival: Government Policies versus the Free Market.” Journal of Agricultural and Applied Economics 28,1(1996):88–94.CrossRefGoogle Scholar