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FDI, economic growth, and carbon emissions of the Chinese steel industry: new evidence from a 3SLS model
- Source :
- Environmental Science and Pollution Research. 28:52547-52564
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Determine the main factors affecting carbon emissions of the Chinese steel industry is indispensable commitments to achieve the sustainable development of China. Hereby, based on the Stochastic Impacts by Regression on Population, Affluence and Technology (STIPRAT) model, this paper combines the economic growth function, carbon emission production function, and the FDI function of the Chinese steel industry, and uses the three-stage least square equation model (3SLS) to analyze the relationship between China’s economic growth, carbon emissions in the steel industry, and FDI (foreign direct investment) inflows. The results document a complete two-way causal relationship of three variables in the whole country and the Western region, while the relationship in the Eastern region and the Central region is not complete. Moreover, there are no bidirectional causal relationship between carbon emissions and FDI in the Eastern region, while only bidirectional causality between carbon emissions and FDI in the Central region. These findings are of great significance for the Chinese steel industry to formulate effective emission reduction policies.
- Subjects :
- Sustainable development
education.field_of_study
Natural resource economics
Health, Toxicology and Mutagenesis
Population
General Medicine
Foreign direct investment
010501 environmental sciences
01 natural sciences
Pollution
Central region
Growth function
Greenhouse gas
Economics
Environmental Chemistry
Production (economics)
China
education
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 16147499 and 09441344
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Environmental Science and Pollution Research
- Accession number :
- edsair.doi...........e44e010eb18f346a34c08a93d6ed660a
- Full Text :
- https://doi.org/10.1007/s11356-021-14445-w