Research on the Relationship of China's Regional Credit Expansion, FDI and Environmental Pollution
Available Online December 2018.
- 10.2991/meeah-18.2018.23How to use a DOI?
- Credit Expansion; FDI; Environmental Pollution; Spatial Dynamic Panel Data Model.
Industrial SO2 and industrial wastewater were selected as the main environmental pollution indicators. Based on the spatial correlation of the environmental pollution, the spatial dynamic panel data models were constructed to study the impact of credit expansion and foreign direct investment (FDI) on the environmental pollution. The results indicate there exist obvious differences of the impacts of the bank loans and FDI for different types of pollution emissions. The bank loans suppress the industrial SO2 emissions. However, FDI has no obvious impact on the industrial SO2 emissions; FDI has a significant positive impact on industrial wastewater emission, while bank loans have no significant impact on industrial wastewater emissons.
- © 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 - Lin Sun PY - 2018/12 DA - 2018/12 TI - Research on the Relationship of China's Regional Credit Expansion, FDI and Environmental Pollution BT - Proceedings of the 2018 International Conference on Management, Economics, Education, Arts and Humanities (MEEAH 2018) PB - Atlantis Press SP - 130 EP - 134 SN - 2352-5398 UR - https://doi.org/10.2991/meeah-18.2018.23 DO - 10.2991/meeah-18.2018.23 ID - Sun2018/12 ER -