TITLE:
Research on the Factors Affecting Regional Smog in China—Based on Spatial Panel Model
AUTHORS:
Honglei Chen, Boyun Xue
KEYWORDS:
Smog Pollution, Spatial Spillover Effect, Driving Factors, Spatial Durbin Model
JOURNAL NAME:
Modern Economy,
Vol.10 No.4,
April
23,
2019
ABSTRACT: Based on the PM2.5 concentration values of 30
provinces in China from 1998 to 2016, this study empirically analyzes the
influencing factors of smog pollution by using spatial Durbin model. The study
found that smog pollution in China has significant spatial spillover effects
and spatial characteristics of high-high (low-low) aggregation. And through the
method of spatial Durbin model, it is found that the smog pollution in China is
time-dependent due to the significant influence of its lag term. In terms of
driving factors, it is found that there is a significant inverted U-shaped
curve relationship between smog pollution and economic growth. In terms of
driving factors, it is found that there is a significant inverted U-shaped
curve relationship between smog pollution and economic growth. The industrial
structure with high proportion of the
second industry, urbanization measured by urban population, and coal-based
energy structure significantly aggravate the smog pollution in our country. In
view of the spatial spillover effect and time lag effect of smog pollution in
China, it is necessary to strengthen regional joint prevention and control. And
it is also supposed to optimize industrial structure, achieve clean and
efficient use of resources, rationalize urbanization, and encourage public
transportation and new energy vehicles.