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| Gillespie, Jeffrey M.; Davis, Christopher G.; Rahelizatovo, Noro C.. |
| An important aspect of structural change in the U.S. hog industry has been the adoption of breeding technology. The adoption of each of four breeding technologies, weekly farrowing, intensive breeding, terminal crossbreeding, and artificial insemination, in U.S. hog production is analyzed using multivariate probit analysis. Results suggest that diversification, whether the producer raised breeding stock, debt and asset levels, and producer’s education influence adoption rate. Larger, more risk-averse producers were more likely to adopt technology. Producers who rated the quality of labor available as higher were more likely to adopt management-intensive technologies. |
| Tipo: Journal Article |
Palavras-chave: Hog industry; Multivariate probit; Technology adoption; N51; Q12. |
| Ano: 2004 |
URL: http://purl.umn.edu/42898 |
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| Rahelizatovo, Noro C.; Gillespie, Jeffrey M.. |
| As with most agricultural industries, the U.S. dairy industry has evolved into a structure including fewer yet larger firms. In Louisiana, total milk production has declined along with dairy farm numbers since 1972. This study addresses the impact of alternative policies, macroeconomic factors, and technology on the structure of the Louisiana dairy industry using a micro-data non-stationary Markov chain analysis. Results indicate that a number of factors have affected the structure of the industry in Louisiana, including but not limited to prices, milk supply reduction programs, technology and interest rates. |
| Tipo: Journal Article |
Palavras-chave: Dairy farms; Markov chain analysis; Seemingly unrelated regression; Marketing. |
| Ano: 1999 |
URL: http://purl.umn.edu/15372 |
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