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| Registros recuperados: 113 | |
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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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| Kimhi, Ayal; Rubin, Ofir D.. |
| After nearly fifty years of stability and stagnation of dairy market regulations in Israel, a dramatic policy reform has been enacted in 1999. The reform enabled farm households, for the first time, to trade production quotas. In addition, the reform signaled to farmers that milk prices will gradually go down in real terms, and therefore only producers who expand and become more efficient will prevail. The reform allowed for generous financial support for investment in expansion, but also required the adoption of environmental regulations which could be costly to many farm families. This paper uses data from a census of small family-operated dairy enterprises that was conducted in 2001, in order to analyze the response of farm households to the reform. The... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Milk policy reform; Technology adoption; Intergenerational succession.; Agricultural and Food Policy. |
| Ano: 2007 |
URL: http://purl.umn.edu/9948 |
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| Ding, Ya; Schoengold, Karina; Tadesse, Tsegaye. |
| The paper combines panel data techniques with spatial analysis to measure the impact of extreme weather events on the adoption of conservation tillage. Zellner’s SUR technique is extended to spatial panel data to correct for cross-sectional heterogeneity, spatial autocorrelation, and contemporaneous correlation. Panel data allow the identification of differences in adoption rates. The adoption of no-till, other conservation tillage, and reduced-till are estimated relative to conventional tillage. Extremely dry conditions in recent years increase the adoption of other conservation tillage practices, while spring floods in the year of production reduce the use of no-till practices. |
| Tipo: Journal Article |
Palavras-chave: Conservation tillage; Drought; Panel data; Technology adoption; Weather extremes; Crop Production/Industries. |
| Ano: 2009 |
URL: http://purl.umn.edu/57631 |
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| Caffey, Rex H.; Kazmierczak, Richard F., Jr.. |
| 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 nontraditional 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. |
| Tipo: Journal Article |
Palavras-chave: Technology adoption; Aquaculture; Multinomial logit; Livestock Production/Industries. |
| Ano: 1994 |
URL: http://purl.umn.edu/15413 |
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| Banerjee, Swagata (Ban); Martin, Steven W.; Roberts, Roland K.; Larkin, Sherry L.; Larson, James A.; Paxton, Kenneth W.; English, Burton C.; Marra, Michele C.; Reeves, Jeanne M.. |
| Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming practices and had used computers for farm management. In addition, younger and more affluent farmers were more likely to adopt. Farmers with larger farms and with relatively high yields were also more likely to adopt. Education was not a significant factor in a farmer’s decision to adopt GPS guidance systems. |
| Tipo: Journal Article |
Palavras-chave: Binary logit; Cotton; GPS guidance system; Marginal effect; Precision farming; Technology adoption; Agribusiness; Crop Production/Industries; Q2; Q16; Q19; Q20; Q24. |
| Ano: 2008 |
URL: http://purl.umn.edu/45530 |
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| Registros recuperados: 113 | |
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