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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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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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The Effect of Traditional Practices in the Efficiency of Dairy Farms in Wisconsin AgEcon
Cabrera, Victor E.; Solis, Daniel; del Corral, Julio.
The US dairy sector is facing structural changes including a geographical shift in dairy production and a tendency towards the implementation of more intensive production systems. These changes might significantly affect farm efficiency, profitability and the long-term economic sustainability of the dairy sector, especially in more traditional dairy production areas. Consequently, the goal of this study was to examine the impact of practices commonly used by dairy farmers and the effect of intensification on the performance of the farms. We used a sample of 273 Wisconsin dairy farms to estimate a stochastic production frontier simultaneously with a technical inefficiency model. The empirical analysis showed that at a commercial level the administration of...
Tipo: Conference Paper or Presentation Palavras-chave: Technical inefficiency; Stochastic production frontier; Intensification; Livestock Production/Industries; Productivity Analysis.
Ano: 2009 URL: http://purl.umn.edu/55373
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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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