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| Roder, Norbert; Kilian, Stefan. |
| In 2005, Germany implemented the Single Payment Scheme which lead to the conversion of direct payments into tradable, production decoupled, single farm payments. The transition from coupled to decoupled support instruments may impact the rate of structural change. The rate of structural change may accelerate since farms with a high share of income derived from CAP payments will abandon farming and lease their land. However, there are also good reasons why the rate of structural change might decrease especially if farmers do not behave as profit maximizers. In Germany agricultural land use is very heterogeneous with respect to management orientation and productivity even at local level. Most of the concerns related to structural change and development of... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Structural change; Data mining; Fischler Reform; Agricultural and Food Policy; Q16; Q15; R14. |
| Ano: 2008 |
URL: http://purl.umn.edu/44788 |
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| Roder, Norbert; Osterburg, Bernhard. |
| 6.5% of the German UAA is located on organic soils (fens and bogs). Nevertheless, the drainage of these areas in order to allow their agricultural utilization causes roughly a third of the greenhouse gas emissions (GHG) of the German agricultural sector, being equivalent to 4% of the total German GHG emissions. Obviously, German policies trying to reduce the GHG emissions successfully must tackle this issue. The abandonment of the cultivation of organic soils would be an effective policy to reduce the GHG emissions however the question remains whether it is an efficient measure compared with the other options? In the paper we compare the land use on mineral and organic soils using the data of the farm structure survey. We assess the mitigation costs on the... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agricultural and Food Policy; Environmental Economics and Policy; Resource /Energy Economics and Policy. |
| Ano: 2010 |
URL: http://purl.umn.edu/91270 |
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| Gocht, Alexander; Roder, Norbert. |
| In Germany, since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.600 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Highest Posterior Density estimator (HPD); RAUMIS; Down scaling; Research Methods/ Statistical Methods; C11; C61; C81; Q15. |
| Ano: 2011 |
URL: http://purl.umn.edu/115982 |
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| Gocht, Alexander; Roder, Norbert. |
| In Germany, since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.600 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Highest Posterior Density estimator (HPD); RAUMIS; Down scaling; Research Methods/ Statistical Methods; C11; C61; C81; Q15. |
| Ano: 2011 |
URL: http://purl.umn.edu/114824 |
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