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- W2340736661 abstract "Cluster theory provides a framework for categorizing and analyzing industry dynamics at a variety of spatial and temporal scales. However, definitions and categorizations of clusters vary widely in the literature, which to date has hindered the development of rigorous econometric models for cluster analysis. Based on a review of the literature on industry clusters and regional economic development, we categorize cluster types using The Cluster Mapping Project (CMP) aggregations of North American Industry Classification System (NAICS) six-digit industry codes. We then present empirical measures for cluster growth, cluster diversity, and cluster strength. These measures are calculated using employment data for 366 U.S. metropolitan statistical areas (MSAs) for the years 2002-2003 and 2011-2012. Additionally, we estimate the relationship of our cluster performance measures to several traditional economic development indicators at the MSA level using multivariate linear regression. We assess potential applications of the new cluster performance measures and conclude that our measures for local and traded cluster growth can explain much of the variation in regional economic performance." @default.
- W2340736661 created "2016-06-24" @default.
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- W2340736661 date "2016-01-01" @default.
- W2340736661 modified "2023-10-12" @default.
- W2340736661 title "Industry Clusters and Regional Economic Performance: A Study Across U.S. Metropolitan Statistical Areas" @default.
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- W2340736661 doi "https://doi.org/10.2139/ssrn.2715263" @default.
- W2340736661 hasPublicationYear "2016" @default.
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