TITLE:
China’s Pollution-Intensive Industry Transfer Path and Driving Factors—An Empirical Study Based on Spatial Panel Model
AUTHORS:
Qingyuan Lin
KEYWORDS:
Pollution-Intensive Industry, Industrial Transfer, Space Panel Regression
JOURNAL NAME:
iBusiness,
Vol.9 No.1,
March
21,
2017
ABSTRACT: In this paper, global spatial autocorrelation
analysis and spatial Durbin model regression analysis of spatial panel data
from 30 regions in China from 2002 to 2014 are carried out to explore the
diversion path and driving factors of China’s pollution-intensive industries
from the perspective of spatial correlation. The results show that the spatial distribution of
regional pollution intensive industry in China has significantly spatial dependence. The pollution-intensive
industries in various regions continue to carry out spatial dynamic transitions,
roll-in and roll-out, and the
central and western regions undertake the pollution intensive enterprises which
transferred from the eastern coastal areas. In terms of driving factors of pollution intensive
industries transfer, agglomeration,
transportation infrastructure, technological progress and capital investment, which have played a
positive role in promoting, labor
costs have a negative effect. Environmental
regulation of pollution intensive industry transfer has a dual role, namely
“crowding out” and “innovation effect”. It is recommended that pollution-intensive
enterprises should have scientific planning and follow the correct transfer
path.