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| Zimmermann, Andrea; Heckelei, Thomas. |
| Previous analyses of dairy farm structural change focused on the variation over time in one or a small number of regions. Here we present an EU-15-wide analysis of the change of the number of farms in different size classes. The purpose is (1) to identify the differences in regional development patterns and (2) to measure the explanatory relevance and effect of key factors suggested in the literature. Apart from the unprecedented scope, the underlying Markov chain analysis also contributes by combining observed transitions in micro data with macro data on farm numbers. Results show widely significant impacts of most explanatory variables, but also reveal the complexity of the underlying processes. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agricultural and Food Policy; Farm Management; Land Economics/Use. |
| Ano: 2010 |
URL: http://purl.umn.edu/61090 |
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| Zimmermann, Andrea; Heckelei, Thomas. |
| General economic developments as well as recent fundamental changes in the Common Agricultural Policy will likely impact significantly on the European farm structure. Although a decline of total farm numbers continues to be the general observation, important differences occur across regions and farm types. These differentiated developments and their determinants are of high relevance for policy impact assessment at the regional level. The main objective of the analysis provided in this paper is to empirically identify whether regionally specific characteristics account for differences in regional farm structure development. This is exemplarily shown for German FADN regions. As methodological approach a combined time series, cross-sectional Markov chain... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Farm structure; Markov model; Germany; Farm Management. |
| Ano: 2008 |
URL: http://purl.umn.edu/44049 |
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| Zimmermann, Andrea; Heckelei, Thomas. |
| Previous analyses of dairy farm structural change focused on the variation over time in one or a small number of regions. Here we present an EU15-wide analysis of the change of the number of farms in different size classes. The purpose is (1) to identify the differences in regional development patterns and (2) to measure the explanatory relevance and effect of key factors suggested in the literature. Apart from the unprecedented scope, the underlying Markov chain analysis also contributes by combining observed transitions in micro data with macro data on farm numbers. Results show widely significant impacts of most explanatory variables, but also reveal the complexity of the underlying processes. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Structural change; Dairy farms; Markov chain; Cross-regional; EU; Agricultural and Food Policy. |
| Ano: 2010 |
URL: http://purl.umn.edu/61006 |
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