Analysis of the carbon emission reduction potential of China's key industries under the IPCC 2 °C and 1.5 °C limits

2020 ◽  
Vol 159 ◽  
pp. 120198 ◽  
Author(s):  
Feng Wu ◽  
Ningyu Huang ◽  
Fan Zhang ◽  
Lulu Niu ◽  
Yali Zhang
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Potential ◽  
Carbon Emission Reduction ◽  
Emission Reduction Potential ◽  
Key Industries

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.

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 Estimating Smart Grid’s Carbon Emission Reduction Potential in China’s Manufacturing Industry Based on Decomposition Analysis

2021 ◽  
Vol 9 ◽  
Author(s):  
Hua Fu ◽  
Yingying Shi ◽  
Yongchao Zeng
Keyword(s):  
Smart Grid ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Manufacturing Industry ◽  
Reduction Potential ◽  
Driving Forces ◽  
Decomposition Analysis ◽  
Carbon Emission Reduction ◽  
Emission Reduction Potential

China has a large manufacturing industry and shoulders the responsibility of reducing carbon emissions. Smart grid technologies can integrate multiple renewable energy technologies, which possess significant potential in reducing carbon emissions. To estimate the carbon emission reduction potential of the smart grid in China’s manufacturing industry, this paper applies a temporal logarithmic mean Divisia index (LMDI) method to analyze the driving forces of carbon emission changes in the whole manufacturing industry and 28 sub-industries from 2000 to 2017, respectively. The results reveal that industrial activity and energy intensity are the key factors leading to the increase and mitigation of carbon emissions, respectively. Sub-industries with high emission intensity are crucial for the reduction of carbon emissions in the manufacturing industry. By applying a smart grid, the carbon emissions could be reduced by 27.51% in the optimistic scenario.

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