Using Proprietary Databases to Overcome Data Suppression in Industry Cluster Analysis

Gilbert Michaud, G. Jason Jolley

Research output: Contribution to journalArticlepeer-review

Abstract

Extension agents are frequently tasked with determining industry clusters that exist in a region to support economic development. However, data suppression issues recurrently prohibit a comprehensive understanding of heavily concentrated firms in a region, particularly in rural areas. This article discusses the use of North American Industry Classification System codes within the LexisNexis Academic database as a technique for locating data about specific firms and analyzing regional industry clusters. This approach provides a practical and cost-efficient method for Extension agents and other researchers and practitioners to identify clusters and gather firm information in small geographies throughout the United States.

Original languageAmerican English
JournalThe Journal of Extension
Volume55
Issue number4
DOIs
StatePublished - Aug 1 2017
Externally publishedYes

Keywords

  • industry clusters
  • economic development
  • business databases
  • plastics
  • Ohio

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