NDLI: Identifying spatial nonstationarity in German regional firm start-up data

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Identifying spatial nonstationarity in German regional firm start-up data

Content Provider	Springer Nature Link
Author	Müller, Sven
Copyright Year	2012
Abstract	Background: We investigate the relationship between the rate at which new firms are established and regional characteristics and whether this relationship is constant over space or not. The characteristics reflect (i) agglomerations that in turn are related to increasing returns to production and (ii) measures which are influenceable immediately by regional decision makers. Method: In order to account for spatial nonstationarity, we use the geographically weighted regression method for German start-up data on the geographical scale NUTS3. Moreover, we discuss significance test for locally varying regression coefficients. Results: We are able to verify the global positive relationship between production convexities—measured by population density and growth amongst others—and the start-up rate on a regional level (Kreise). Furthermore, we find the share of industrial real estate to have positive influence on the regional start-up rate. Finally, we find strong empirically evidence that there is spatial nonstationarity in the data and hence the assumed relationship varies locally. Conclusion: The results give evidence that spatial nonstationarity could not be neglected in the analysis of start-up rates. However, we suggest to develop global models that account—at least partially—for the underlying spatial nonstationarity by exogenous variables.
Starting Page	113
Ending Page	132
Page Count	20
File Format	PDF
ISSN	01737600
Journal	Jahrbuch für Regionalwissenschaft
Volume Number	32
Issue Number	2
e-ISSN	16139836
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-01-31
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Geographically weighted regression Spatial nonstationarity Regional firm start-ups Germany Entrepreneurship Economic Geography Population Economics Environmental Economics Landscape/Regional and Urban Planning Regional/Spatial Science Geography (general)
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Economics and Econometrics

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