A proximity-based measure of industrial clustering
An industrial cluster is a locality with a high concentration of firms in related businesses. Although relatedness and concentration are the two defining features of an industrial cluster, the commonly used measures of clustering often fail to simultaneously capture both dimensions. Based on the pro...
| Main Authors: | , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
International Food Policy Research Institute
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/150881 |
| _version_ | 1855528258588639232 |
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| author | Ruan, Jianqing Zhang, Xiaobo |
| author_browse | Ruan, Jianqing Zhang, Xiaobo |
| author_facet | Ruan, Jianqing Zhang, Xiaobo |
| author_sort | Ruan, Jianqing |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | An industrial cluster is a locality with a high concentration of firms in related businesses. Although relatedness and concentration are the two defining features of an industrial cluster, the commonly used measures of clustering often fail to simultaneously capture both dimensions. Based on the product space literature, we first compute the degree of relatedness based on the concept of industrial proximity. Next, we develop a clustering index that takes into account both proximity and concentration. Finally, we calculate this new proximity-based index using the 1995 China Industrial Census and the 2004 and 2008 China Economic Census. The new index predicts China’s top 100 industrial clusters much more accurately than existing cluster measures. |
| format | Artículo preliminar |
| id | CGSpace150881 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1508812025-11-06T06:31:51Z A proximity-based measure of industrial clustering Ruan, Jianqing Zhang, Xiaobo industrial sector economic development industrial development economic policies markets regulation An industrial cluster is a locality with a high concentration of firms in related businesses. Although relatedness and concentration are the two defining features of an industrial cluster, the commonly used measures of clustering often fail to simultaneously capture both dimensions. Based on the product space literature, we first compute the degree of relatedness based on the concept of industrial proximity. Next, we develop a clustering index that takes into account both proximity and concentration. Finally, we calculate this new proximity-based index using the 1995 China Industrial Census and the 2004 and 2008 China Economic Census. The new index predicts China’s top 100 industrial clusters much more accurately than existing cluster measures. 2015-10-08 2024-08-01T02:54:10Z 2024-08-01T02:54:10Z Working Paper https://hdl.handle.net/10568/150881 en https://hdl.handle.net/10568/149847 https://doi.org/10.1016/j.worlddev.2013.10.003 https://hdl.handle.net/10568/154650 https://hdl.handle.net/10568/154557 https://hdl.handle.net/10568/161482 Open Access application/pdf International Food Policy Research Institute Ruan, Jianqing; and Zhang, Xiaobo;. 2015. A proximity-based measure of industrial clustering. IFPRI Discussion Paper 1468. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/150881 |
| spellingShingle | industrial sector economic development industrial development economic policies markets regulation Ruan, Jianqing Zhang, Xiaobo A proximity-based measure of industrial clustering |
| title | A proximity-based measure of industrial clustering |
| title_full | A proximity-based measure of industrial clustering |
| title_fullStr | A proximity-based measure of industrial clustering |
| title_full_unstemmed | A proximity-based measure of industrial clustering |
| title_short | A proximity-based measure of industrial clustering |
| title_sort | proximity based measure of industrial clustering |
| topic | industrial sector economic development industrial development economic policies markets regulation |
| url | https://hdl.handle.net/10568/150881 |
| work_keys_str_mv | AT ruanjianqing aproximitybasedmeasureofindustrialclustering AT zhangxiaobo aproximitybasedmeasureofindustrialclustering AT ruanjianqing proximitybasedmeasureofindustrialclustering AT zhangxiaobo proximitybasedmeasureofindustrialclustering |