Hostname: page-component-745bb68f8f-hvd4g Total loading time: 0 Render date: 2025-01-18T18:30:02.313Z Has data issue: false hasContentIssue false
  • English
  • Français

Factors Influencing Technology Adoption in a Louisiana Aquaculture System

Published online by Cambridge University Press:  28 April 2015

Rex H. Caffey  and
Richard F. Kazmierczak Jr.
Rex H. Caffey
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge
Richard F. Kazmierczak Jr.
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge
Get access Rights & Permissions [Opens in a new window]

Abstract

A multinomial logit model was estimated and used to analyze the impact of various producer characteristics on the adoption of flow-through and recirculating technology in soft-shelled crab production. Because of the industry's geographic isolation and high turnover rate, data was collected by personal interviews in 1991. The results suggest that increased adoption might be fostered by targeting education programs towards full time, family operated businesses in non-traditional production regions. However, development of effective education programs may be hindered by the lack of a significant relationship between producer adoption decisions and the information provided by university or extension personnel.

Keywords

technology adoptionaquaculturemultinomial logit
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 26 , Issue 1 , July 1994 , pp. 264 - 274
Copyright
Copyright © Southern Agricultural Economics Association 1994

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

Avault, J.W. “Research Report: Success in Aquaculture.” Aquaculture 18(September 1992):68.Google Scholar
Batte, M.T., Jones, E., and Schnitkey, G.D.. “Computer Use by Ohio Commercial Farmers.” Amer. J. Agr. Econ. 72(November 1990):935–945.CrossRefGoogle Scholar
Beai, G.M., and Rogers, E.M.. The Adoption of Two Farm Practices in a Central Iowa Community. Iowa Agr. and Home Econ. Exper. Sta. Special Report No. 26, 1960.Google Scholar
Binswanger, H.P. “Attitudes Towards Risk: Experimental Measurement in Rural India.” Amer. J. Agr. Econ. 62(1980):395–407.CrossRefGoogle Scholar
Byerlee, D., and de Polanco, E.H.. “Farmers' Stepwise Adoption of Technological Packages: Evidence from the Mexican Altipiano.” Amer. J. Agr. Econ. 68(August 1986):519–527.CrossRefGoogle Scholar
Caffey, R.H., Culley, D.D., and Roberts, K.J.. The Louisiana Soft-shelled Crab Industry: A Profile. Baton Rouge, Louisiana: Louisiana Sea Grant Program, February 1993.Google Scholar
Capps, O. Jr., and Kramer, R.A.. “Analysis of Food Stamp Participation Using Qualitative Choice Models.” Amer. J. Agr. Econ. 67(1985):49–59.CrossRefGoogle Scholar
Casewell, M., and Zilberman, D.. “The Choices of Irrigation Technologies in California.” Amer. J. Agr. Econ. 67(May 1985):224–234.CrossRefGoogle Scholar
Dorfman, J.H., Kling, C.L., and Sexton, R.J.. “Confidence Intervals for Elasticities and Flexibilities: Reevaluating the Ratios of Normals Case.” Amer. J. Agr. Econ. 72(1990): 1006–1017.CrossRefGoogle Scholar
Feder, G., Just, R., and Zilberman, D.. Adoption of Agricultural Innovations in Developing Countries: A Survey. Washington, DC: World Bank Work. Pap. No. 444, 1981.Google Scholar
Godfrey, L.G.Misspecification Tests in Econometrics: The Lagrange Multiplier Principle and Other Approaches. Cambridge: Cambridge University Press, 1990.Google Scholar
Greene, W.H.LIMDEP version 6.0: User's Manual and Reference Guide. Econometric Software, Inc., 1992.Google Scholar
Harper, J.K., Rister, M.E., Mjelde, J.W., Drees, B.M., and Way, M.O.. “Factors Influencing the Adoption of Insect Management Technology.” Amer. J. Agr. Econ. 72(November 1990):998–1005.CrossRefGoogle Scholar
Hooks, G.M., Napier, T.L., and Carter, M.V.. “Correlates of Adoption Behaviors: The Case of Farm Technologies.” Rural Sociol. 48(1983):308–323.Google Scholar
Horst, J. “Status of the Louisiana Soft Shell Crab Fishery.” in National Symposium on the Soft-Shelled Blue Crab Fishery, 1985.Google Scholar
Jones, E., Batte, M.T., and Schnitkey, G.D.. “ A Socioeconomic Analysis of Marketing Information Usage Among Ohio Fruit Producers” S. J. Agr. Econ. 22(1990):99–107.Google Scholar
Krinsky, I. and Robb, A.L.. “On Approximating the Statistical Properties of Elasticities.” Rev. Econ. and Statist. 68(1986):715–719.CrossRefGoogle Scholar
Lawson, T.B.Understanding Recirculating Aquaculture Systems. Baton Rouge, Louisiana: Department of Agriculture Engineering, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, 1988.Google Scholar
Lorio, W., Lutz, G., and Avery, J.. Aquaculture Fact Sheet: Louisiana Aquaculture as of 1992. Baton Rouge, Louisiana: Louisiana State University Agricultural Center, 1993.Google Scholar
Losordo, T.B., Easley, J.E., and Westerman, P.W.. Preliminary Results of a Survey on the Feasibility of Recirculating Aquaculture Production Systems. Mimeo, American Society of Agricultural Engineers, New Orleans, Louisiana, 1989.Google Scholar
Louisiana Blue Crab Task Force. Minutes of the Louisiana Blue Crab Task Force Quarterly Meeting. Baton Rouge, Louisiana: Louisiana Department of Wildlife and Fisheries, 1991.Google Scholar
Maddala, G.S.Limited Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press, 1983.CrossRefGoogle Scholar
Mandersheid, L.V. “Significance Levels - 0.05, 0.01, or ?” J. Farm Econ. 47(1965): 1381–1385.CrossRefGoogle Scholar
Mayo, R.D. “Review of Water Reuse Systems - Water Reuse in Hatcheries.” in Aquaculture and Water Quality, Brune, D.E. and Tomass, J.R.. (eds.). Baton Rouge: The World Aquaculture Society, 1991.Google Scholar
Napit, K.B., Norton, G.W., Kazmierczak, R.F. Jr., and Rajotte, E.G.. “Economic Impacts of Extension Integrated Pest Management Programs in Several States.” J. Econ. Entomol. 81 (February 1988):251–256.CrossRefGoogle Scholar
Park, T., Loomis, J.B., and Creel, M.. “Confidence Intervals for Evaluating Benefits Estimates from Dichotomous Choice Contingent Valuation Studies.” Land Econ. 67(1991):64–73.CrossRefGoogle Scholar
Perry, H.M., Ogle, J.T., and Nicholson, L.C.. “The Fishery for Soft Crabs With Emphasis on the Development of a Closed Recirculating Seawater System For Shedding Crabs.” in Proceedings of the Blue Crab Symposium, 1979.Google Scholar
Putler, D.S., and Zilberman, D.. “Computer Use in Agriculture: Evidence from Tulare County, California.” Amer. J. Agr. Econ. 70(November 1988):790–802.CrossRefGoogle Scholar
Reynolds, A. “Analyzing Fresh Vegetable Consumption From Household Survey Data.” S. J. Agr. Econ. 22(December 1990):31–38.Google Scholar
Rogers, E.M.Diffusion of Innovations, 3rd Ed. New York: Free Press, 1983.Google Scholar
Sonka, S.T., Hornbaker, R.H., and Hudson, M.A.. “Managerial Performance and Income Variability for a Sample of Illinois Cash Grain Producers.” N. C. J. Agr. Econ. 11(1989):39–47.Google Scholar
Spotte, S.Fish and Invertebrate Culture, Water Management in Closed Systems. New York: John Wiley & Sons, Inc., 1979.Google Scholar
Tversky, A., and Kahneman, D.. “Judgement Under Uncertainty: Heuristic and Biases.” Science 185(1974): 1124–1131.CrossRefGoogle ScholarPubMed
Wheaton, F., Hochheimer, J., and Kaiser, G.E.. “Fixed Film Nitrification Filters for Aquaculture.” in Aquaculture and Water Quality, Brune, D.E. and Tomass, J.R.. (eds.). Baton Rouge: The World Aquaculture Society, 1991.Google Scholar