Literature DB >> 34151403

The transfer mechanism of pollution industry in China under multi-factor combination model-based on the perspective of industry, location, and environment.

Chuang Li1,2, Wenjing Xia1, Liping Wang3.   

Abstract

With the development of industry transfer, the increasing attention of all government levels has been paid to the sustainable development of ecological environment. To highlight the effect of environmental factors on pollution industry transfer, a triangle model with various combination scenarios of industry, location, and environmental factors is adopted to empirically study the transfer mechanism of China's pollution industry according to the panel data of 30 provinces from 2000 to 2018. The obtained results indicate that (1) industrial advantage is the primary factor of improving the transfer of pollution industry in China; especially, the significance of location and environmental indicators is significantly lower than that of industrial indicators. (2) With the increasing promotion of regional coordination strategy and ecological civilization construction, the attraction of location factors to industry transfer is decreasing, and the inhibition of environmental factors to pollution industry is increasing. (3) In addition, it is worth noting that China's pollution industry has not been in "innovation highland" but "environmental depression," which indicates that the phenomenon of "pollution haven hypothesis" is probable in the industry transfer of China. The paper suggests that reasonable industry transfer should be adopted by all government levels to promote industrial transformation and upgrading with considering the environmental capacity.

Entities:  

Keywords:  Ecological environment; Multi-factor combination; Pollution industry transfer; Triangle model

Year:  2021        PMID: 34151403     DOI: 10.1007/s11356-021-14643-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Mechanism of Enterprise Green Innovation Behavior Considering Coevolution Theory.

Authors:  Xingwei Li; Jiachi Dai; Jinrong He; Jingru Li; Yicheng Huang; Xiang Liu; Qiong Shen
Journal:  Int J Environ Res Public Health       Date:  2022-08-22       Impact factor: 4.614

  1 in total

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