EconPapers    
Economics at your fingertips  
 

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

Anne Margarian

German Journal of Agricultural Economics, 2007, vol. 56, issue 08, 14

Abstract: 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.

Keywords: Community/Rural/Urban; Development (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/96764/files/2_Margarian.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:gjagec:96764

DOI: 10.22004/ag.econ.96764

Access Statistics for this article

More articles in German Journal of Agricultural Economics from Humboldt-Universitaet zu Berlin, Department for Agricultural Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-19
Handle: RePEc:ags:gjagec:96764