scholarly journals Spatio-temporal evolution characteristics and influencing factors of carbon emission reduction potential in China

2021 ◽  
Author(s):  
Zhangwen Li ◽  
Caijiang Zhang ◽  
Yu Zhou
Keyword(s):  
Influencing Factors ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Potential ◽  
Temporal Evolution ◽  
Carbon Emission Reduction ◽  
Evolution Characteristics ◽  
Emission Reduction Potential ◽  
Spatio Temporal

scholarly journals Dynamic simulation of China’s carbon emission reduction potential by 2020

2014 ◽  
Vol 8 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Feng Xu ◽  
Nan Xiang ◽  
Jingjing Yan ◽  
Lujun Chen ◽  
Peter Nijkamp ◽  
...  
Keyword(s):  
Dynamic Simulation ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Potential ◽  
Carbon Emission Reduction ◽  
Emission Reduction Potential

scholarly journals What Is the Regional Differences in Carbon Emission Performance: Evidences From Energy-intensive Industries in China?

2021 ◽  
Author(s):  
Yao Chen ◽  
Jing Wu
Keyword(s):  
Growth Rate ◽  
Emission Reduction ◽  
Regional Differences ◽  
Carbon Emission ◽  
Reduction Potential ◽  
Carbon Emission Reduction ◽  
Emission Efficiency ◽  
Emission Reduction Potential ◽  
Economic Regions ◽  
Energy Intensive Industries

Abstract As the major energy consumers, energy-intensive industries are the key players in achieving carbon emission reduction targets. Grasping the carbon emission reduction potential has a direct impact on the implementation of the carbon emission reduction policies of China. The paper builds a super-Slack Based Model(SBM) considering this undesirable output, and calculates the carbon emission efficiency. Then, the Meta-Frontier Malmquist-Luenberger productivity index (MF-MLPI) is constructed to dynamically analyse the growth rate changes of the carbon emission efficiency and the regional differences in energy-intensive industries. Furthermore, the carbon emission reduction potential of the energy-intensive industries in various economic regions of China is discussed and the conclusions are as follows: there is a big difference in the carbon emission Technology Gap Ratios (TGRs) of the energy-intensive industries in different economic regions; the growth rate of the carbon emission efficiency of energy-intensive industries shows a trend of first declining and then slowly recovering while the carbon reduction potential generally shows a trend of decreasing and then rising; and the carbon emission reduction potential in the eastern region keeps decreasing. The following is recommended: the government should rationally distribute energy-intensive industries, promote industrial structure adjustment, optimize the energy structure according to the regional industrial advantages; increase investment in R&D, promote energy technology innovation in energy-intensive industries; prioritize the promotion of carbon peaks on key emission industries and regional, formulate differentiated plans for the regions and industries with different carbon emission reduction potentials.

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