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Genetically Modified Crops, an Input Distance Function Approach AgEcon
Gardner, Justin G.; Nehring, Richard F.; Nelson, Carl H..
Our initial findings indicate that GM crops do not contribute to the decline of traditional family farms. We make a significant methodological impact by using the within transformation to remove unobserved individual effects and demonstrate that the within transformation results in ML estimates that are identical to OLS estimates.
Tipo: Conference Paper or Presentation Palavras-chave: Production Economics; Genetically Modified Crops; Distance Function; Stochastic Frontier Analysis; Production Economics; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/6800
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Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach AgEcon
Sauer, Johannes.
Milk quota trading rules differ across EU member countries. In Denmark a biannual milk quota exchange was set up in 1997 to promote a more efficient reallocation of milk quotas as well as to reduce transaction costs related to the searching and matching of sellers and buyers. Using two comprehensive panel data sets on organic and conventional milk farms this study attempts to disentangle the effects of the introduction of an increased quota transferability on the production structure of those farms as well as the probability of market entry and exit. Bayesian estimation techniques are used to estimate an input oriented generalized Leontief distance function as well as a curvature constrained specification. The results suggest that the deregulation in the...
Tipo: Conference Paper or Presentation Palavras-chave: Organic Farming; Milk Quota; Distance Function; Bayesian Analysis.
Ano: 2008 URL: http://purl.umn.edu/36869
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