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  • 标题:Using Proprietary Databases to Overcome Data Suppression in Industry Cluster Analysis
  • 本地全文:下载
  • 作者:Gilbert Michaud ; G. Jason Jolley ; Voinovich School of Leadership
  • 期刊名称:Journal of Extension
  • 印刷版ISSN:0022-0140
  • 电子版ISSN:1077-5315
  • 出版年度:2017
  • 卷号:55
  • 期号:4
  • 出版社:Journal of Extension, Inc.
  • 摘要: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.
  • 关键词:industry clusters ; economic development ; business databases ; plastics ; Ohio
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