Exploring the Detailed Location Patterns of UK Manufacturing Industries Using Microgeographic Data

Working Paper: CEPR ID: DP5858

Authors: Gilles Duranton; Henry G. Overman

Abstract: We use a point-pattern methodology to explore the detailed location patterns of UK manufacturing industries. In particular, we consider the location of entrants and exiters vs. continuing establishments, domestic- vs. foreign-owned, large vs. small, and affiliated vs. independent. We also examine co-localisation between vertically-linked industries. Our analysis provides a set of new stylised facts and confirmation for others.

Keywords: clusters; k-density; localisation; location patterns; spatial statistics

JEL Codes: C19; L70; R12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Entrants and exiters in approximately two-thirds of industries (L19)Stability in industry locations over time (R32)
Entrants and exiters in about one-third of industries (L19)Clustering and dispersing (C38)
Multi-establishment firms (L20)Clustering of plants (C38)
Affiliated establishments of different firms (L14)Lack of clustering tendency (C38)
Foreign-owned establishments (F23)Similar location patterns (R14)
Foreign-owned establishments in industries with strong domestic leaders (F23)Clustering with domestic establishments (C38)
Larger establishments (L68)Clustering of larger establishments (C38)
Smaller establishments (M13)Clustering of smaller establishments (R32)
Nuanced differences in location patterns among entrants, exiters, and continuing establishments (R32)No overarching trend towards increased clustering or dispersion across industries (L69)

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