Resource Evaluation

An Empirical Study on the Geographical Distribution of Pollution-Intensive Industries in China

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  • 1. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
    2. Center for Urban Development and Land Policy, Peking University-Lincoln Institute, Beijing 100871, China

Received date: 2014-05-26

  Revised date: 2014-08-15

  Online published: 2015-07-14

Abstract

With the strengthening pressure of resource and environment, it has become a strategic choice to restructure industries and optimize the spatial distribution in the period of China's economic transition. However the pollution accompanying with the industrial spatial restructuring has become an urgent issue. Based on the data from China Industrial Statistical Yearbooks from 2003 to 2008, using 2-digital and 3-digital pollution-intensive industrial output and the start-up, this study investigate the geographical distribution of pollution-intensive industries with Tobit model and Heckman Model. This paper finds that the pollution-intensive industries are under spatial restructuring. They have started to move out from three major economic zones. Shandong and other central provinces have become the new gathering places for the transferred industries. Light pollution industries, i.e. paper, have transferred to the inland provinces. However, technology intensive industries, i.e. chemical products, mainly moved to other coastal provinces. In addition, Statistical results show that factor endowments, environmental regulation and globalization are all the significant locational determinants of Chinese pollutionintensive industries. Among factor endowments, technology and labor costs are the key factors for pollution-intensive firms to choose locations. International market is becoming more and more important for the location choice compared with the nature resource. It has an inverted Ushaped relationship between the environmental regulation and the establishment of new firms. Finally, the locational determinants also significantly depend on the natures of industries and firms. The empirical results would provide scientific supports for regional industrial and environmental policies.

Cite this article

ZHOU Yi, HE Can-fei, LIU Ying . An Empirical Study on the Geographical Distribution of Pollution-Intensive Industries in China[J]. JOURNAL OF NATURAL RESOURCES, 2015 , 30(7) : 1183 -1196 . DOI: 10.11849/zrzyxb.2015.07.011

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