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Predicting Bovine Somatotropin Use By California Dairy Farmers

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  • Zepeda, Lydia

Abstract

An ex ante adoption model of bovine somatotropin (BST) is estimated with survey data of California milk producers. Theoretical justification is developed for incorporation of socioeconomic explanatory variables in a technology-adoption model. The advantages of a multinomial over a binomial ex ante model also are presented. The multinomial logit model is used to predict BST adoption, to test hypotheses on characteristics associated with knowledge and receptiveness towards BST, and to predict potential structural changes in the California dairy industry due to the release of BST technology.

Suggested Citation

  • Zepeda, Lydia, 1990. "Predicting Bovine Somatotropin Use By California Dairy Farmers," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(01), July.
  • Handle: RePEc:ags:wjagec:32494
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    File URL: http://purl.umn.edu/32494
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    References listed on IDEAS

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    1. Milligan, Robert & Lesser, William H. & Magrath, William B. & Tauer, Loren & Bauman, Dale, 1985. "Biotechnology and Dairy Industry: Production costs, Commercial Potential, and the Economic Impact of the Bovine Growth Hormone," Research Bulletins 183730, Cornell University, Department of Applied Economics and Management.
    2. Globerman, Steven, 1975. "Technological Diffusion in the Canadian Tool and Die Industry," The Review of Economics and Statistics, MIT Press, vol. 57(4), pages 428-434, November.
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    Cited by:

    1. McDonald, Roberta & Karina, Pierce & Reamonn, Fealy & Horan, Brendan, 2013. "Characteristics, intentions and expectations of new entrant dairy farmers entering the Irish dairy industry through the New Entrant Scheme," International Journal of Agricultural Management, Institute of Agricultural Management;International Farm Management Association, vol. 2(4), July.
    2. Wang, Tong & Luri, Moses & Janssen, Larry & Hennessy, David A. & Feng, Hongli & Wimberly, Michael C. & Arora, Gaurav, 2017. "Determinants of Motives for Land Use Decisions at the Margins of the Corn Belt," Ecological Economics, Elsevier, vol. 134(C), pages 227-237.
    3. Egziabher, Kidanemariam G. & Mathijs, Erik & Deckers, Jozef A. & Gebrehiwot, Kindeya & Bauer, Hans & Maertens, Miet, 2013. "The Economic Impact of a New Rural Extension Approach in Northern Ethiopia," Working Papers 146558, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    4. Useche, Pilar & Barham, Bradford & Foltz, Jeremy, 2006. "A Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers," Working Papers 201525, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    5. Wang, Tong & Luri, Moses & Janssen, Larry & Hennessy, David & Feng, Hongli & Wimberly, Michael & Arora, Gaurav, 2016. "Farmers’ Rankings of the Determinants of Land Use Decisions at the Margins of the Corn Belt," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235109, Agricultural and Applied Economics Association.
    6. repec:eee:agisys:v:156:y:2017:i:c:p:115-125 is not listed on IDEAS

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    Keywords

    Livestock Production/Industries;

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