Journal
NATURAL HAZARDS
Volume 91, Issue 2, Pages 659-669Publisher
SPRINGER
DOI: 10.1007/s11069-017-3148-0
Keywords
Foreign direct investment; Sulfur dioxide emission; Hierarchical linear models
Funding
- National Natural Science Foundation of China [71771105, 71473180, 71303174, 91646112, 71303076, 71673083]
- National Philosophy and Social Science Foundation of China [15ZDA054, 16ZZD049]
- Natural Science Foundation for Distinguished Young Talents of Guangdong [2014A030306031]
- Guangdong Key Base of Humanities and Social Science-Enterprise Development Research Institute
- Institute of Resource, Environment and Sustainable Development Research
- Guangzhou key Base of Humanities and Social Science-Centre for Low Carbon Economic Research
- [[2016]95]
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Focusing on the mechanism of foreign direct investment on environment, we attempt to build a series of hierarchical linear models to explore the impact of foreign direct investment on China's sulfur dioxide (SO2) emissions by using the panel data of industrial sector in Chinese provinces from 2002 to 2013. The findings show that: Firstly, the industrial SO2 emission shows a slow downward trend. Secondly, 27.96% of the variations of SO2 emission intensity come from the differences between the provinces. Thirdly, foreign direct investment can explain 50.50% of the different changes in provincial SO2 emission intensity due to economic scale effect, structural effect, technological effect, and environmental regulation effect. Among them, the scale effect and technical effect are negatively correlated with SO2 emissions intensity, while structural and environmental regulation effects positively. Moreover, foreign direct investment can significantly inhibit the positive correlation of structural effect and weaken the negative correlation of technology effect on SO2 emission intensity, but do not have a significant impact on SO2 emission intensity by economic scale effect and environmental regulation effect.
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