Study on the Effects of Industrial Structure Change on Carbon Reduction ——An Empirical Study Based on Spatial Econometrics Model
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Study on the Effects of Industrial Structure Change on Carbon Reduction ——An Empirical Study Based on Spatial Econometrics Model
SUN Pan1,2,3, WU Yu-ming2, BAO Shu-ming1,2
1.Business School, East China University of Science and Technology, Shanghai 200237, China; 2.China Data Center, University of Michigan, MI 48106, USA; 3.Business School, Nantong Institute of Technology, Nantong 226002, China
Abstract Based on the panel data of 30 provinces from 1999 to 2014, this paper uses Spatial Durbin Panel Data Model (SDPDM) to study the impact of industrial structure changes on carbon emissions from the perspectives of rationalization and optimization. The study has shown that both rationalization and optimization of industrial structure are correlated to the carbon emissions. Both rationalization and optimization have positive impact on carbon reduction and carbon emission has spacial spillover effect. The emission reduction calls for strong cooperation among provinces, more investment in research and development funding for science and technology as well as a focus on supporting services industries, especially producer services industries and modern service industries.
SUN Pan,TUN Yu-Ming,BAO Shu-Meng. Study on the Effects of Industrial Structure Change on Carbon Reduction ——An Empirical Study Based on Spatial Econometrics Model. Economic Survey, 2018, 35(2): 093.
2018, Vol. 35 
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