Zimmermann, Andrea: Empirical analysis of farm structural change at EU-level. - Bonn, 2012. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5n-29053
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-29053,
author = {{Andrea Zimmermann}},
title = {Empirical analysis of farm structural change at EU-level},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2012,
month = jul,

note = {The drastic changes of the European farm structure have led to plenty of research on farm structural change with recent studies focusing more and more on regional differences and spatial interaction of farmers. The thesis adds to this literature by providing a large-scale analysis of farm structural change across EU15 regions. For this purpose, farm structural change is defined as the change of the number of farms in different farm types over time. The agricultural economics literature is reviewed in order to find a methodological approach suitable to model and to analyse farm structural change at such a large regional scale and adhering to a multi-dimensional farm typology.
A Markov chain estimation framework is identified to be the best suitable approach for the task at hand. In both empirical parts of the thesis, Markov chain transition probabilities are estimated representing the likelihood of a farm to change from one farm type to another in a given period of time. For the estimation of the transition probabilities, a generalised cross-entropy estimator is applied. The estimator allows, for the first time, the combination of two different data types in one estimation step, thereby significantly improving the empirical base for estimating transition probabilities compared to previous studies. Aggregate data giving the distribution of farms across farm types in the population is used in establishing the Markov chain and micro data on the specific movements of sample farms across farm types is used as a priori information in the estimation framework. Transition probabilities are estimated for each of about 100 EU15 regions based on FADN (Farm Accountancy Data Network) data from 1990/1995 to 2005.
The thesis categorises theoretical determinants of farm structural change into the concepts technology/economies of scale, farm household theory, path dependency, land immobility, policy, and market conditions. Functions of the (in part time-varying) transition probabilities are cross-sectionally regressed against explanatory variables picked from these concepts. Two empirical applications, one analysing structural change encompassing all production specialisations and the other one focused on dairy farms are conducted. In both studies significant regional difference in farm structural change are observed. Whereas the expected impact of the technology/economies of scale concept is generally confirmed, the effect of the variables from the other concepts on farm structural change remains often ambiguous. Overall, the thesis confirms the widely acknowledged complexity of farm structural change.},

url = {https://hdl.handle.net/20.500.11811/5113}

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