Proceedings of the 2018 2nd International Conference on Education Innovation and Social Science (ICEISS 2018)

An Empirical Study on the Relationship between Industrial Structure and Air Pollution in Xi'an

Authors
Qi Li
Corresponding Author
Qi Li
Available Online December 2018.
DOI
10.2991/iceiss-18.2018.12How to use a DOI?
Keywords
Industrial Structure; Air Pollution; VAR Model; Economic Growth
Abstract

The air pollution in Xi'an is serious. Adjusting industrial structure has become one of the important strategies to improve the quality of atmospheric environment. Therefore, it is of great significance to study the relationship between industrial structure and air pollution. To this end, this paper uses the industrial structure and air pollution data of Xi'an from 2000 to 2016, and discusses the two-way influence relationship between the two by establishing a VAR model. It is concluded that the upgrading of industrial structure in Xi'an can alleviate air pollution to a certain extent, and the intensification of air pollution can force the upgrading of industrial structure.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 2nd International Conference on Education Innovation and Social Science (ICEISS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
978-94-6252-622-8
ISSN
2352-5398
DOI
10.2991/iceiss-18.2018.12How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Qi Li
PY  - 2018/12
DA  - 2018/12
TI  - An Empirical Study on the Relationship between Industrial Structure and Air Pollution in Xi'an
BT  - Proceedings of the 2018 2nd International Conference on Education Innovation and Social Science (ICEISS 2018)
PB  - Atlantis Press
SP  - 45
EP  - 48
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceiss-18.2018.12
DO  - 10.2991/iceiss-18.2018.12
ID  - Li2018/12
ER  -