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Analisis de la calidad de la leche en un modelo microeconomico multi-output: el papel de la genetica AgEcon
Alvarez, Antonio; Arias, Carlos; Roibas, David.
Resumen Este trabajo analiza la calidad en la producción de leche y su relación con la genética del rebaño. El marco analítico es un modelo de producción multi-output en el que la calidad de la leche se considera como un output del proceso productivo. El modelo propuesto abre la posibilidad del tratamiento empírico de la calidad y la genética mediante el uso de funciones distancia. En la parte empírica del trabajo se usa un panel de datos de 96 explotaciones lecheras asturianas que contiene índices genéticos del rebaño. Palabras clave: leche, calidad, genética, multi-output, función distancia. Abstract In this paper we analyze the influence of genetics on milk quality. For that purpose, we use a multi-output production model in which milk quality is...
Tipo: Journal Article Palavras-chave: Milk; Quality; Genetics; Multi-output production model; Distance function.; Livestock Production/Industries; D21; Q12; C23.
Ano: 2005 URL: http://purl.umn.edu/28791
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Detecting Technological Heterogeneity in New York Dairy Farms AgEcon
del Corral, Julio; Alvarez, Antonio; Tauer, Loren W..
Agricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different functions for each group. Alternatively, unique technologies can be determined by econometric procedures such as latent class models. This paper compares the results of a latent class model with the use of a priori information to split the sample using dairy farm data in the application. Latent class separation appears to be a superior method of separating heterogeneous technologies.
Tipo: Conference Paper or Presentation Palavras-chave: Parlor milking system; Stanchion milking system; Latent class model; Stochastic frontier; Production Economics.
Ano: 2009 URL: http://purl.umn.edu/49293
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Detecting Technological Heterogeneity in New York Dairy Farms AgEcon
del Corral, Julio; Alvarez, Antonio; Tauer, Loren W..
Agricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different functions for each group. Alternatively, unique technologies can be determined by econometric procedures such as latent class models. This paper compares the results of a latent class model with the use of a priori information to split the sample using dairy farm data in the application. Latent class separation appears to be a superior method of separating heterogeneous technologies.
Tipo: Working or Discussion Paper Palavras-chave: Parlor milking system; Stanchion milking system; Latent class model; Stochastic frontier; Agribusiness; Farm Management.
Ano: 2009 URL: http://purl.umn.edu/51143
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Efecto de la intensificacion sobre la eficiencia de las explotaciones lecheras AgEcon
Alvarez, Antonio; del Corral, Julio; Perez, Jose Antonio; Solis, Daniel.
This study analyzes the differences on production cost associated with the intensification of production for a sample of dairy farms in Asturias. In doing so, we account for two methodological issues which are not usually considered in the empirical literature. On the one hand, we allow for different technologies within the sample. On the other hand, we estimate ex ante cost functions, which use "planned output" instead of the traditional ex post approach which uses the "observed output". Our results show a positive relation between intensification and efficiency. RESUMEN Este trabajo analiza las diferencias en costes de producción asociados con la intensificación productiva de explotaciones lecheras en Asturias. Para lograr este objetivo se han...
Tipo: Journal Article Palavras-chave: Cluster analysis; Efficiency; Ex ante cost function; Intensification; Livestock Production/Industries; Q12; C23..
Ano: 2007 URL: http://purl.umn.edu/7996
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