Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/306372 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Review of Regional Research [ISSN:] 1613-9836 [Volume:] 43 [Issue:] 2 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023 [Pages:] 265-289
Verlag: 
Springer, Berlin, Heidelberg
Zusammenfassung: 
We analyze the effect of local supplier and customer densities on employment growth, using a sample of 19 275German firms. We suggest a new approach to estimating firm-specific customer and supply densities through combining input-output data from the German Federal Statistical Office and firm-level data from the Orbis database. Existing empirical analyses are primarily conducted on a regional level, so that findings may depend on the regarded regional level and only provide limited insights into the existence and effects of agglomeration on growth at the firm-level. We use kernel density estimation to avoid the arbitrariness of spatial boundaries and scales, and find that the regional agglomeration patterns vary considerably between different sectors. Our econometric analysis reveals that input supplier and customer densities have a statistically significant effect on firm growth and that the firms' age plays a crucial role in analyzing agglomeration economies.
Schlagwörter: 
Firm Performance
Agglomeration
Kernel density estimation
Regional Economics
JEL: 
L25
R11
C10
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Dokumentart: 
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Dokumentversion: 
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