| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w20375 |
| 来源ID | Working Paper 20375 |
| Defining Clusters of Related Industries | |
| Mercedes Delgado; Michael E. Porter; Scott Stern | |
| 发表日期 | 2014-08-14 |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | Clusters are geographic concentrations of industries related by knowledge, skills, inputs, demand, and/or other linkages. A growing body of empirical literature has shown the positive impact of clusters on regional and industry performance, including job creation, patenting, and new business formation. There is an increasing need for cluster-based data to support research, facilitate comparisons of clusters across regions, and support policymakers and practitioners in defining regional strategies. This paper develops a novel clustering algorithm that systematically generates and assesses sets of cluster definitions (i.e., groups of closely related industries). We implement the algorithm using 2009 data for U.S. industries (6-digit NAICS), and propose a new set of benchmark cluster definitions that incorporates measures of inter-industry linkages based on co-location patterns, input-output links, and similarities in labor occupations. We also illustrate the algorithm's ability to compare alternative sets of cluster definitions by evaluating our new set against existing sets in the literature. We find that our proposed set outperforms other methods in capturing a wide range of inter-industry linkages, including grouping industries within the same 3-digit NAICS. |
| 主题 | Regional and Urban Economics ; Regional Economics |
| URL | https://www.nber.org/papers/w20375 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/578049 |
| 推荐引用方式 GB/T 7714 | Mercedes Delgado,Michael E. Porter,Scott Stern. Defining Clusters of Related Industries. 2014. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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