Mehr-Ebenen-Modelle in der Analyse agrarstruktureller Entwicklungen – Methodik und Implikationen

Until now empirical analyses have not succeeded in the determination of a general upon agreed bunch of the most important driving forces of structural change in agriculture beyond the level of the national economy. It will be argued that the sometimes contradictory results of different studies are caused by the endogenous dynamics of structural change as well as by mixing up different levels of causality. The influence of single causes, therefore, is not necessarily characterised by linearity, symmetry and independence of other causes, of the location or of time. Multi-level-models are being presented as a method with the capability to cope with these problems by modelling hierarchical relations and dynamics in time simultaneously. The flexibility of the method as well as its capability to generate new insights will be demonstrated on the example of a panel analysis for the explanation of regional differences in structural change of agriculture.


Variant title:
Multi-level models in the analysis of structural change in agriculture – methodical considerations and implications
Issue Date:
2007
Publication Type:
Journal Article
DOI and Other Identifiers:
ISSN 0002-1121 (Other)
PURL Identifier:
http://purl.umn.edu/96764
Published in:
German Journal of Agricultural Economics, Volume 56, Number 8
Page range:
340-353
Total Pages:
14




 Record created 2017-04-01, last modified 2017-08-25

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