Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/230058 
Year of Publication: 
2019
Citation: 
[Journal:] Papers in Regional Science [ISSN:] 1435-5957 [Volume:] 99 [Issue:] 1 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2019 [Pages:] 135-164
Publisher: 
Wiley, Hoboken, NJ
Abstract: 
We investigate whether economic functional regions capture spatial clustering of core economic indicators better than administrative regions. For this purpose, we use hierarchical linear models to measure the degree of homogenization of different regional delineations. Our results for Germany show that economic functional regions tend to capture spatial clustering better than administrative ones. However, a considerable amount of clustering at a lower aggregation level cannot be accounted for by economic functional regions, especially around metropolitan centres. Furthermore, economic functional regions, which depict commuting interrelations well, are less able to capture spatial homogenization than other economic functional delineations.
Subjects: 
functional regions
Germany
modularity
regional labour markets
spatial correlation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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