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| Consmuller, Nicola; Beckmann, Volker; Petrick, Martin. |
| Since the end of the quasi-moratorium on genetically modified organisms (GMO) in the European Union in 2004, the establishment of GMO-free zones has become an EU wide phenomenon. In contrast to other European countries, Germany follows the concept of cooperative GMO-free zones where neighbouring farmers contractually refrain from GMO cultivation. In this article, we address the question which underlying factors could account for the establishment of cooperative GMO-free zones in Germany. Drawing on the existing literature on spatial agglomeration of different farming systems and the establishment of GMO-free zones, we provide the first systematic study on driving factors for the regional formation of GMO-free zones in Germany. The empirical analysis is... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Genetically modified organisms (GMO); GMO-free zone; Econometric analysis; Germany; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/114493 |
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| Kleinhanss, Werner; Offermann, Frank; Butault, Jean-Pierre; Surry, Yves R.. |
| Summary: This study summarizes cost estimates based on the EU Farm Accountancy Data Network using the General Cost of Production Model, developed, applied and tested within the FACEPA project. Results are provided for wheat, pigs and milk for the main producer countries of the EU for the period 1999 to 2007. Estimated input-output coefficients are generally based on monetary figures, expressing cost shares referring to total output. Effects of scale, specialization and location can be derived by estimates based on respective sub-samples. Costs per unit are derived based on input-output coefficients and output values, providing costs per hectare or ton for wheat and per ton of milk. There is a considerable variation between Member States not only of... |
| Tipo: Technical Report |
Palavras-chave: Econometric analysis; Production costs; Ökonometrische Analyse; Produktionskosten; Agricultural and Food Policy; Farm Management; Production Economics; Research Methods/ Statistical Methods; C39; Q12. |
| Ano: 2011 |
URL: http://purl.umn.edu/118867 |
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| Glauben, Thomas; Tietje, Hendrik; Weiss, Christoph R.. |
| This study examines family farms and characteristics affecting farm succession. Based on a farm survey, three aspects of succession are analysed in the paper: the probability of family succession; the likelihood of having a successor designated; and the timing of succession. Large and specialised farms are more likely to be transferred within the family and to have appointed a successor. The number of family members, as well as the experience of farm operator, is also significantly related to the succession behaviour. The probabilities of succession, and of having a successor, first increase with age and then decline again. Furthermore, timing of succession is delayed as the farm holder ages, suggesting most farm operators' succession plans to be... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Farm succession; Survey data; Econometric analysis; Farm Management. |
| Ano: 2002 |
URL: http://purl.umn.edu/24918 |
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| Peng, Ling; Liao, Tie-jun. |
| According to the data from Investigation Report of Land Use Change in China, The Land Resources Communique of China and Chronicle of Statistical Data for Five Decades of New China issued from Ministry of Land Resources, we select two indices: change of farmland quantity and policy of farmland protection. According to econometric theory, by using Eviewes 5.1 software, co-integration analysis, Granger causality test, impulse response and other analysis methods, we analyze the relationship between change of farmland quantity and policy of farmland protection in China since the reform and opening-up. The results show that there is long-term balanced relationship between change of farmland quantity and policy of farmland protection, and there is a certain... |
| Tipo: Journal Article |
Palavras-chave: Change of farmland quantity; Policy of farmland protection; Econometric analysis; Co-integration; Error correction model; Impulse response function; Variance decomposition; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/113426 |
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