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A proximity-based measure of industrial clustering
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Author | Ruan, Jianqing Zhang, Xiaobo |
| Organization | IFPRI - Development Strategy and Governance Division |
| Spatial Coverage | China [CN] |
| 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. |
| Related Links | https://cgspace.cgiar.org/items/7e20566a-bebf-430e-835f-926e300458fa |
| File Format | |
| Language | English |
| Publisher | International Food Policy Research Institute |
| Publisher Date | 2015-10-08 |
| Publisher Place | Washington, DC |
| Access Restriction | Open |
| Subject Keyword | Policies, Institutions, and Markets Industrial Sector Economic Development Industrial Development Economic Policies Markets Regulation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Agronomy and Crop Science Food Science Plant Science |
