Proceedings of the 2016 International Conference on Education, Management and Computer Science

Empirical Research on the Impact of FDI to Environmental Pollution in Jiangsu

Authors
Wenjing Shan
Corresponding Author
Wenjing Shan
Available Online May 2016.
DOI
10.2991/icemc-16.2016.235How to use a DOI?
Keywords
Jiangsu Province; FDI; Environmental Pollution; Empirical Research
Abstract

The paper collect the data of industrial waste water, industrial waste gas, industrial solid wastes, foreign direct investment (FDI) and net export of Jiangsu Province from 1995 to 2014 ,with the methods of econometrics and E-views, to analyze quantitatively the relationship between FDI of Jiangsu and environment. The conclusion is industrial waste has no correlation between FDI. But industrial waste and industrial solid waste have a positive correlation between them and FDI, and the correlation coefficients were 0.89 and 0.47. FDI is not the Granger cause for industrial waste water, but for industrial waste gas and industrial solid wastes. Generally, Jiangsu FDI has a negative influence in environment, and the Hypothesis of Pollution Haven is proofed.

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 2016 International Conference on Education, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
10.2991/icemc-16.2016.235How 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  - Wenjing Shan
PY  - 2016/05
DA  - 2016/05
TI  - Empirical Research on the Impact of FDI to Environmental Pollution in Jiangsu
BT  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 1227
EP  - 1231
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.235
DO  - 10.2991/icemc-16.2016.235
ID  - Shan2016/05
ER  -