Industrial Structure and Pollution in China, 2004-2017

DOI

10.2991/assehr.k.210806.049How to use a DOI?

Keywords

Industrial structure, Pollution, Dynamic panel regression

Abstract

Industrial development has significant impact on environment in China, thus causing social and economic concerns. In order to understand and examine the impact of industrial structure on pollution, this paper uses panel data of 259 cities in China over 2004-2017 and dynamic panel regression to investigate the relationship between industrial structure and pollution. The result shows that industrial structure optimization decreases pollution. The regression result indicates that 1% industrial structure change can reduce 0.46%, 0.25% and 0.08% pollution of sulfur dioxide, industrial dust and waste water.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huashen Cao
AU  - Rijin Li
PY  - 2021
DA  - 2021/08/09
TI  - Industrial Structure and Pollution in China, 2004-2017
BT  - Proceedings of the 2021 5th International Seminar on Education, Management and Social Sciences (ISEMSS 2021)
PB  - Atlantis Press
SP  - 257
EP  - 260
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210806.049
DO  - 10.2991/assehr.k.210806.049
ID  - Cao2021
ER  -