Proceedings of the 2nd International Symposium on Social Science (ISSS 2016)

Spatial Econometrics Analysis of Environmental Governance Effects of China’s Taxation Policy

Authors
Yu Zhang
Corresponding Author
Yu Zhang
Available Online May 2016.
DOI
10.2991/isss-16.2016.45How to use a DOI?
Keywords
Taxation policy; spatial panel regression model; environmental governance effects
Abstract

China is increasing emphasis on environmental governance, and puts the construction of ecological civilization as an important development strategy. The environmental pollution is more and more serious in China, especially, the pollution caused by the pollution overflow across provincial boundaries. This paper will establish spatial panel regression models to research from the perspective of environmental taxation policy. The paper selects the taxes related to the environmental governance and sewage charges as explanatory variables, and further analyzes their influence on the industrial pollutant emissions. The research’s results show that the environmental governance effects are general, so the taxation system should be further revised to improve the environmental quality.

Copyright
© 2016, 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 2nd International Symposium on Social Science (ISSS 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2016
ISBN
10.2991/isss-16.2016.45
ISSN
2352-5398
DOI
10.2991/isss-16.2016.45How to use a DOI?
Copyright
© 2016, 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  - Yu Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Spatial Econometrics Analysis of Environmental Governance Effects of China’s Taxation Policy
BT  - Proceedings of the 2nd International Symposium on Social Science (ISSS 2016)
PB  - Atlantis Press
SP  - 189
EP  - 192
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-16.2016.45
DO  - 10.2991/isss-16.2016.45
ID  - Zhang2016/05
ER  -