A proximity-based measure of industrial clustering

dc.creatorRuan, Jianqing
dc.creatorZhang, Xiaobo
dc.date2015-10-08
dc.date2024-08-01T02:54:10Z
dc.date2024-08-01T02:54:10Z
dc.date.accessioned2026-06-27T15:21:14Z
dc.descriptionAn 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/150881
dc.identifier.urihttp://hdl.handle.net/123456789/101926
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.relationhttps://hdl.handle.net/10568/149847
dc.relationhttps://doi.org/10.1016/j.worlddev.2013.10.003
dc.relationhttps://hdl.handle.net/10568/154650
dc.relationhttps://hdl.handle.net/10568/154557
dc.relationhttps://hdl.handle.net/10568/161482
dc.rightsOpen Access
dc.sourceRuan, 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
dc.subjectindustrial sector
dc.subjecteconomic development
dc.subjectindustrial development
dc.subjecteconomic policies
dc.subjectmarkets
dc.subjectregulation
dc.titleA proximity-based measure of industrial clustering
dc.typeWorking Paper

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