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A proximity-based measure of industrial clustering:

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  • Ruan, Jianqing
  • Zhang, Xiaobo

Abstract

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.

Suggested Citation

  • Ruan, Jianqing & Zhang, Xiaobo, 2015. "A proximity-based measure of industrial clustering:," IFPRI discussion papers 1468, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1468
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    References listed on IDEAS

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    1. Li, Ben & Lu, Yi, 2009. "Geographic concentration and vertical disintegration: Evidence from China," Journal of Urban Economics, Elsevier, vol. 65(3), pages 294-304, May.
    2. Long, Cheryl & Zhang, Xiaobo, 2011. "Cluster-based industrialization in China: Financing and performance," Journal of International Economics, Elsevier, vol. 84(1), pages 112-123, May.
    3. Jianqing Ruan & Xiaobo Zhang, 2009. "Finance and Cluster-Based Industrial Development in China," Economic Development and Cultural Change, University of Chicago Press, vol. 58(1), pages 143-164, October.
    4. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    5. Wen, Mei, 2004. "Relocation and agglomeration of Chinese industry," Journal of Development Economics, Elsevier, vol. 73(1), pages 329-347, February.
    6. Huang, Zuhui & Zhang, Xiaobo & Zhu, Yunwei, 2008. "The role of clustering in rural industrialization: A case study of the footwear industry in Wenzhou," China Economic Review, Elsevier, vol. 19(3), pages 409-420, September.
    7. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    8. Bai, Chong-En & Du, Yingjuan & Tao, Zhigang & Tong, Sarah Y., 2004. "Local protectionism and regional specialization: evidence from China's industries," Journal of International Economics, Elsevier, vol. 63(2), pages 397-417, July.
    9. Schmitz, Hubert & Nadvi, Khalid, 1999. "Clustering and Industrialization: Introduction," World Development, Elsevier, vol. 27(9), pages 1503-1514, September.
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    1. Dai, Ruochen & Mookherjee, Dilip & Quan, Yingyue & Zhang, Xiaobo, 2021. "Industrial clusters, networks and resilience to the Covid-19 shock in China," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 433-455.

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    Keywords

    economic development; industrial sector; industrial development; markets; regulations; economic policies;
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