Clusters, Convergence, and Economic Performance

By Mercedes Delgado, Michael E. Porter, Scott Stern. 2014

770 citations recorded by the source corpus.

This paper evaluates the role of regional cluster composition in regional industry performance. On the one hand, diminishing returns to specialization in a location can result in a convergence effect: the growth rate of an industry within a region may be declining in the level of economic activity of that industry. At the same time, positive spillovers across complementary economic activities can provide an impetus for agglomeration: the growth rate of an industry within a region may be increasing in the “strength” (i.e., relative presence) of related industries. Building on Porter (1998, 2003), we develop a systematic empirical framework to analyze the role of regional clusters – groups of closely related industries operating within a particular region – in the growth of regional industries. We exploit data from the US Cluster Mapping Project to examine the effects of agglomeration within regional clusters after controlling for convergence at the region-industry level. Our findings suggest that industries located in a strong cluster register higher employment and patenting growth. Regional industry growth also increases with the strength of related clusters in the region and with the strength of similar clusters in adjacent regions. We also find evidence of the complementarity between employment and innovation performance in regional clusters: both the initial employment and patenting strength of a cluster have a separate positive effect on the employment and patenting growth of the constituent industries. Finally, we find that new regional industries emerge where there is a strong cluster. These findings are consistent with multiple types of externalities arising in clusters, including knowledge, skills, and input–output linkages.

Subfields: Economics and Econometrics, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/db197d20c2df51258e945f21eeb18a967e635a7b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Ron A. Boschma
  2. Scott Stern
  3. Michael E. Porter
  4. Mercedes Delgado
  5. David C. Maré
  6. Benjamin Davies
  7. Frank M. H. Neffke
  8. M. Hartog

In Political Science and International Relations

  1. Ron A. Boschma
  2. Mercedes Delgado
  3. Scott Stern
  4. Michael E. Porter
  5. Frank M. H. Neffke
  6. Raja Kali
  7. Ekaterina Turkina
  8. Ari Van Assche

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