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Distinguishing Different Industry Technologies and Localized Technical Change AgEcon
Morrison Paul, Catherine J.; Sauer, Johannes.
This contribution is based on the notion that different technologies are present in an industry. These different technologies result in differential “drivers” of economic performance depending on the kind of technology used by the individual firm. In a first step different technologies are empirically distinguished. Subsequently, the associated production patterns are approximated and the respective change over time is estimated. A latent class modelling approach is used to distinguish different technologies for a representative sample of E.U. dairy producers as an industry exhibiting significant structural changes and differences in production systems in the past decades. The production technology is modelled and evaluated by using the flexible functional...
Tipo: Conference Paper or Presentation Palavras-chave: Heterogenous Technologies; Transformation Function; Localized Technical Change; Production Economics; Q12; O33; C35.
Ano: 2010 URL: http://purl.umn.edu/91749
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TECHNOLOGIES AND LOCALIZED TECHNICAL CHANGE AgEcon
Morrison Paul, Catherine J.; Sauer, Johannes.
D2_3
Tipo: Conference Paper or Presentation Palavras-chave: Heterogenous Technologies; Transformation Function; Localized Technical Change; Production Economics; Research Methods/ Statistical Methods; Q12; O33; C35.
Ano: 2010 URL: http://purl.umn.edu/93963
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Distinguishing Different Industry Technologies and Localized Technical Change AgEcon
Sauer, Johannes; Morrison Paul, Catherine J..
When different technologies are present in an industry, assuming a homogeneous technology will lead to misleading implications about technical change and inefficient policy recommendations. In this paper a latent class modelling approach and flexible estimation of the production structure is used to distinguish different technologies for a representative sample of E.U. dairy producers, as an industry exhibiting significant structural changes and differences in production systems in the past decades. The model uses a transformation function to recognize multiple outputs; separate technological classes based on multiple characteristics, a flexible generalized linear functional form, a variety of inputs, and random effects to capture firm heterogeneity; and...
Tipo: Conference Paper or Presentation Palavras-chave: Heterogenous Technologies; Transformation Function; Localized Technical Change; Agricultural and Food Policy; Q12; O33; C35.
Ano: 2011 URL: http://purl.umn.edu/99834
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