PREDICTING BOVINE SOMATOTROPIN USE BY CALIFORNIA DAIRY FARMERS

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.


Issue Date:
1990-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/32494
Published in:
Western Journal of Agricultural Economics, Volume 15, Number 1
Page range:
55-62
Total Pages:
8




 Record created 2017-04-01, last modified 2017-08-25

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