4.7 Article

Is environmental pressure distributed equally in China? Empirical evidence from provincial and industrial panel data analysis

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 718, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.137363

关键词

Environmental burden distribution; Pollution control; GMM method; PVAR model

资金

  1. National Natural Science Foundation of China [71761137001, 71403015, 71521002]
  2. Beijing Natural Science Foundation [9162013]
  3. key research program of the Beijing Social Science Foundation [17JDYJA009]
  4. National Key Research and Development Program of China [2016YFA0602801, 2016YFA0602603]
  5. Special Fund for Joint Development Program of the Beijing Municipal Commission of Education

向作者/读者索取更多资源

China's rapid economic development has resulted in increasingly serious environmental pollution that is negatively affecting the health of Chinese citizens. Notably, the unfair distribution of resources may cause the uneven distribution of the environmental burden. In this study, panel data of 30 Chinese provinces and 32 industries for the period 2004 to 2017 is used to investigate how the environmental burden is distributed across different regions and industries. To manage potential endogeneity and allow for dynamics, the generalized method of moments and panel vector autoregression models are employed. The estimation results indicate that, on the whole, urban residents endure the most serious environmental pollution. Notably, a big gap is observed between urban and rural residents' share of environmental pressure, and a similar gap is also observed between developed and underdeveloped areas in China. Moreover, the government is responsible for less environmental pressure than companies for urban residents and rural residents. The subindustry regression results indicate that the polluting department bears the most environmental pressure, and the green department also bore some negative environmental pressure. (C) 2020 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