A proximity-based measure of industrial clustering:
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Cited by:
- 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.
- Ruochen Dai & Dilip Mookherjee & Yingyue Quan & Xiaobo Zhang, 2020. "Industrial Clusters, Networks and Resilience to the Covid-19 Shock in China," NBER Working Papers 28000, National Bureau of Economic Research, Inc.
- Mookherjee, Dilip & Dai, Ruochen & Quan, Yingyue & Zhang, Xiaobo, 2020. "Industrial Clusters, Networks and Resilience to the Covid-19 Shock in China," CEPR Discussion Papers 15396, C.E.P.R. Discussion Papers.
- Ruochen Dai & Dilip Mookherjee & Yingyue Quan & Xiaobo Zhang, 2020. "Industrial Clusters, Networks And Resilience To The Covid-19 Shock In China," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-353, Boston University - Department of Economics.
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More about this item
Keywords
economic development; industrial sector; industrial development; markets; regulations; economic policies;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CSE-2015-11-21 (Economics of Strategic Management)
- NEP-GEO-2015-11-21 (Economic Geography)
- NEP-TRA-2015-11-21 (Transition Economics)
- NEP-URE-2015-11-21 (Urban and Real Estate Economics)
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