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Registros recuperados: 5
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An Evaluation of U.S. Hog Producer Preferences Toward Autonomy AgEcon
Gillespie, Jeffrey M.; Davis, Christopher G.; Rahelizatovo, Noro C..
Hog farmers’ preferences for autonomy are assessed through the use of eight questions dealing with their preferences for general decision making and with respect to specific management actions. Farmers generally preferred to make a higher percentage of the decisions about their operations, especially older producers and those who operated farrowing units. Farmers who placed lower values on autonomy finished hogs, were nearing retirement, valued social relationships with other farmers more highly, had higher off-farm income, or were larger farmers.
Tipo: Journal Article Palavras-chave: Autonomy; Contracting; Pork production; Utility; Q12; L14; D21.
Ano: 2004 URL: http://purl.umn.edu/43449
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DAIRY FARM SIZE, ENTRY, AND EXIT IN A DECLINING PRODUCTION REGION AgEcon
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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Factors Influencing the Adoption of Breeding Technologies in U.S. Hog Production AgEcon
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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FACTORS INFLUENCING THE IMPLEMENTATION OF BEST MANAGEMENT PRACTICES IN THE DAIRY INDUSTRY AgEcon
Rahelizatovo, Noro C.; Gillespie, Jeffrey M..
Best management practices (BMPs) consist of conservation methods promoted to reduce water pollution from agricultural activities. This study investigates the likely determinants of Louisiana dairy producers' decisions to voluntarily implement BMPs. Farm size, milk productivity, frequency of meetings with LCES, and risk aversion significantly influenced the increased adoption of BMPs.
Tipo: Conference Paper or Presentation
Ano: 2002 URL: http://purl.umn.edu/35241
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The Adoption of Best-Management Practices by Louisiana Dairy Producers AgEcon
Rahelizatovo, Noro C.; Gillespie, Jeffrey M..
This study examines the adoption of best-management practices (BMPs) in terms of the total number of practices implemented up to a certain period, using count data analysis. Poisson and negative binomial regressions were used to examine the likely determinants of producers’ decisions to adopt greater numbers of technologies, and the specific case of dairy producers’ adoption of BMPs was explored. Our results emphasize the significant effect of producers’ awareness of the efforts to control non-point source pollution, information about BMPs, farms size, producer’s educational attainment, and risk aversion on the number of BMPs adopted.
Tipo: Journal Article Palavras-chave: Best management practices (BMP); Count data analysis; Dairy industry; Negative binomial regressions; Poisson regression; Q12; Q16.
Ano: 2004 URL: http://purl.umn.edu/43445
Registros recuperados: 5
Primeira ... 1 ... Última
 

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