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A Socioeconomic Analysis of Marketing Information Usage Among Ohio Fruit Producers

Published online by Cambridge University Press:  09 September 2016

Eugene Jones ,
Marvin T. Batte  and
Gary D. Schnitkey
Eugene Jones
Affiliation:
Department of Agricultural Economics and Rural Sociology, Ohio State University
Marvin T. Batte
Affiliation:
Department of Agricultural Economics and Rural Sociology, Ohio State University
Gary D. Schnitkey
Affiliation:
Department of Agricultural Economics and Rural Sociology, Ohio State University
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Abstract

Farm producers attempt to mitigate risk and uncertainty by utilizing accurate and reliable information. This research attempts to identify sources of information used by Ohio fruit producers and then determine which of these sources are best meeting their information needs. Results are based on a logit analysis of Ohio fruit producers and several factors are shown to influence producers' evaluation of the “adequacy” of their marketing information. Among these factors are age, business size, education, type of enterprise, and types of information sources. Reported findings have implications for marketing efficiency, particularly if producers' evaluation of infonnation as adequate is positively related to its efficient use.

Keywords

marketing informationinformation adequacysocioeconomic characteristicsinformation sourcesmarketing decisions
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 22 , Issue 2 , December 1990 , pp. 99 - 107
Copyright
Copyright © Southern Agricultural Economics Association 1990

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References

Aylsworth, Jean. “Apple Sales Recovering.” Am. Fruit Grower, April 1989, 16-17 and 40.Google Scholar
Bullock, J.B. Ray, D., and Thabet, B.. “Valuation of Crop and Livestock Reports: Methodological Issues and Questions”. So. J. Agr. Econ., 14(1982): 13–19.Google Scholar
Buxton, , Boyd, M. “Seasonal Farm Price Patterns for Selected U.S. Fruit Crops”. Fruit and Tree Nuts Situations and Outlook Report, TFS-246. Washington, D.C., August, 1988.Google Scholar
Capps, O. and Kramer, R.A.. “Analysis of Food Stamp Participation Using Qualitative Choice Models”. Am. J. Agr. Econ., 67(1985):49–59.Google Scholar
French, Ben C. “The Analysis of Productive Efficiency in Agricultural Marketing: Models, Methods and Progress”. A Survey of Agricultural Economics Literature, Volume 1, Minneapolis: University of Minnesota Press, 1977,94–206.Google Scholar
French, Ben C. “Farm Price Estimation When There is Bargaining: The Case of Processed Fruit and Vegetables”. West J. Agr. Econ., 12(1987): 17–26.Google Scholar
Kihlstrom, R. “A Bayesian Model of Demand for Information About Product Quality”. Int. Econ. Rev., 15(1974):99–118.Google Scholar
King, R.P. and Sonka, S.T.. “Management Problems of Farm and Agricultural Firms.” Discussion Paper 44, Strategic Management Research Center, University of Minnesota, November, 1985.Google Scholar
Lockshin, Larry. “The Ohio Grape Industry.” Department of Agricultural Economics and Rural Sociology Lecture, Ohio State University, May, 1990.Google Scholar
Lucas, H.C. Jr. “Performance and the Use of an Information System”. Management Science, 20(1975):908–919.Google Scholar
Lucas, H.C. Jr. “Systems Quality, User Reactions and the Use of Information Systems”. Management Informatics, 3(1974a):207–212.Google Scholar
Lucas, H.C. Jr. “User Reactions and the Management of Information Sources”. Management Informatics, 3(1973): 165–172.Google Scholar
Lucas, H.C. Jr. “User Reactions to Computer Operations”. Sloan Management Rev., 15(1974b):59–67.Google Scholar
Miller, Jon R. and Hay, Michael J.. “Determinants of Hunter Participation: Duck Hunting in the Mississippi Flyway”. Am. J. Agr. Econ., 63(1981):677–684.Google Scholar
Ohio Agricultural Statistics Service. ”1988 Annual Report” Ohio Agricultural Statistics and Ohio Department of Agriculture, February 1990.Google Scholar
Pindyck, R.S. and Rubinfeld, D.L.. Econometric Models and Economic Forecasts. 2nd ed. New York: McGraw-Hill, 1981.Google Scholar
Press, S.J. and Wilson, S.. “Choosing Between Logistic and Discriminant Analysis”. J. Am. Sta. Assoc., 73(1978):699–705.Google Scholar
Robey, Daniel. “User Attitudes and Management Information Use”. Academy of Management Journal, 22(3)(1979):527–538.Google Scholar
Schultz, R.L. and Slevin, D.P.. “Implementation and Organizational Validity: An Empirical Investigation”. Implementing Operations Research/Management Science. Shultz, R.L. and Slevin, D.P., eds. New York: American Elsevier, 1975, 153–182.Google Scholar
Shimskey, Donna. “Industry Fights Back.” Am. Fruit Grower, April 1989, 15–16.Google Scholar
Uchida, Stanley Akira. Ohio Fresh Apple Marketing. M.S. Thesis, Ohio State University, 1984.Google Scholar