DECOUPLING EFFECT AND DRIVING MECHANISM OF CARBON EMISSION REDUCTION IN MANUFACTURING INDUSTRY: A TWO-DIMENSIONAL ANALYSIS FRAMEWORK

YU Jie; ZHANG Yong; LI Qingyao

doi:10.13205/j.hjgc.202310019

Volume 41 Issue 10

Oct. 2023

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YU Jie, ZHANG Yong, LI Qingyao. DECOUPLING EFFECT AND DRIVING MECHANISM OF CARBON EMISSION REDUCTION IN MANUFACTURING INDUSTRY: A TWO-DIMENSIONAL ANALYSIS FRAMEWORK[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 150-162. doi: 10.13205/j.hjgc.202310019

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YU Jie, ZHANG Yong, LI Qingyao. DECOUPLING EFFECT AND DRIVING MECHANISM OF CARBON EMISSION REDUCTION IN MANUFACTURING INDUSTRY: A TWO-DIMENSIONAL ANALYSIS FRAMEWORK[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 150-162. doi: 10.13205/j.hjgc.202310019

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DECOUPLING EFFECT AND DRIVING MECHANISM OF CARBON EMISSION REDUCTION IN MANUFACTURING INDUSTRY: A TWO-DIMENSIONAL ANALYSIS FRAMEWORK

doi: 10.13205/j.hjgc.202310019

Institute of Quality Economics, China Jiliang University, Hangzhou 310018, China

Received Date: 2023-07-24
Available Online: 2023-12-26

Abstract

Abstract

Based on data from China's manufacturing sector spanning from 2000 to 2020, a two-dimensional decoupling model was constructed to assess the decoupling status of economic growth and carbon emissions. Additionally, a decoupling effort model was applied to investigate the driving mechanisms of decoupling. The research results were as follows:1) the total carbon emissions across 26 industries increased from 176.09×10⁷ tons in 2000 to 639.21×10⁷ tons in 2020, marking a growth of 3.63 times over 21 years. 2) across the 26 industries, there were a total of 18 types of two-dimensional decoupling states. The proportion of strong decoupling increased from 15.38% in the latter half of the "10th Five-Year Plan" period, to 40.77% in the "13th Five-Year Plan" period. While the decoupling status gradually improved, significant room for decoupling remained. 3) labor-intensive industries were more likely to achieve low economic levels with strong decoupling, capital-intensive industries were more likely to achieve moderate economic levels with weak decoupling, and technology-intensive industries were more likely to achieve low economic levels with weak decoupling. 4) the average decoupling effort indices for energy intensity and industrial structure were 0.686 and 0.031, respectively, making them key drivers for carbon decoupling in the manufacturing sector. However, the average decoupling effort index for energy structure was -0.147, which hindered the decoupling process. 5) among the industries, labor-intensive industries made the greatest decoupling efforts, followed by capital-intensive industries, while technology-intensive industries made the smallest efforts.
- manufacturing,
- carbon emissions,
- two-dimensional decoupling,
- driving mechanism,
- carbon peaking and carbon neutrality

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References(41)

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