4.7 Article

Coal endowment, resource curse, and high coal-consuming industries location: Analysis based on large-scale data

期刊

RESOURCES CONSERVATION AND RECYCLING
卷 129, 期 -, 页码 333-344

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.resconrec.2016.08.005

关键词

Coal-consuming industries; Coal endowment; Resource curse; Large-scale data

资金

  1. Major Projects in Philosophy and Social Science Research, Ministry of Education of The People's Republic of China [14JZD031]
  2. Program for New Century Excellent Talents in University [NCET-12-0595]
  3. National Natural Science Foundation of China [71171001, 71471001]
  4. Zhejiang Key Research Institute of the Humanities and Social Sciences
  5. Center for Research of Regulation Policy [12JDGZ01Z]

向作者/读者索取更多资源

Against the background of a long-term mismatch between coal-producing and consuming regions in China, this study analyzed the location of high coal-consuming industries and factors influencing it using large-scale data with 10,500 observed values for 25 industrial sectors. The results revealed that high coal-consuming industries in China are mainly located in the eastern coastal and northern areas and are gradually moving from south to north. An estimation of a 3-D panel data model showed that, in addition to the degree of coal abundance, capital stock, human resources, and market potentials affect the location of high coal-consuming industries. After controlling for dimensional influences, we also found that the tendency of high coal-consuming industries to locate in areas with poor coal resources can be attributed to the stronger effects of non-coal factors than coal-related ones. In addition, low coal consuming industries prefer locating away from resource-abundant areas because of a resource curse in coal-producing regions, which further strengthens the mismatch between coal-producing and consuming regions. Our findings highlight the need for governments to prioritize improvements in infrastructure construction and education in western areas to steer industrial transfers. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据