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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  2021, Vol. 15 Issue (2): 292-307   https://doi.org/10.1007/s11708-020-0706-z
  本期目录
Uncovering CO2 emission drivers under regional industrial transfer in China’s Yangtze River Economic Belt: a multi-layer LMDI decomposition analysis
Huijuan JIANG1, Yong GENG2(), Xu TIAN3, Xi ZHANG4, Wei CHEN5, Ziyan GAO3
1. China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 200240, China
2. School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200240, China; China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
3. School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200240, China
4. School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
5. School of Geography and Environment, Shandong Normal University, Jinan 250358, China
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Abstract

With the relocation of heavy industries moving from downstream region to upstream and midstream regions in the Yangtze River Economic Belt (YREB), it is critical to encourage coordinated low carbon development in different regions within the YREB. This paper uncovers the evolution of CO2 emissions in different regions within the YREB for the period of 2000–2017. It decomposes regional CO2 emission changes using the temporal and cross-regional three-layer logarithmic mean Divisia index (LMDI) method. Besides, it decomposes industrial CO2 emission changes using the temporal two-layer LMDI method. The research results show that economic growth is the major driver for regional CO2 emission disparities. The mitigation drivers, such as energy intensity and energy structure, lead to a more decreased CO2 emission in the downstream region than in the upstream and midstream regions. In addition, it proposes several policy recommendations based upon the local realities, including improving energy efficiency, optimizing energy structure, promoting advanced technologies and equipment transfers, and coordinating the development in the upstream, midstream and downstream regions within the YREB.

Key wordsCO2 emission    multi-layer LMDI decomposition    industrial transfer    governance
收稿日期: 2020-05-27      出版日期: 2021-06-18
Corresponding Author(s): Yong GENG   
 引用本文:   
. [J]. Frontiers in Energy, 2021, 15(2): 292-307.
Huijuan JIANG, Yong GENG, Xu TIAN, Xi ZHANG, Wei CHEN, Ziyan GAO. Uncovering CO2 emission drivers under regional industrial transfer in China’s Yangtze River Economic Belt: a multi-layer LMDI decomposition analysis. Front. Energy, 2021, 15(2): 292-307.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-020-0706-z
https://academic.hep.com.cn/fie/CN/Y2021/V15/I2/292
Fig.1  
Fig.2  
Fig.3  
Fig.4  
Midstream region Downstream region
Upstream region ΔC E ES -14 -37
ΔC E EI -341 -624
ΔC E IS -69 -126
ΔC E G P 518 1382
ΔC E P -107 166
ΔCE r -13 761
Midstream region ΔC E ES -41
ΔC E EI -79
ΔC E IS -172
ΔC E G P 863
ΔC E P 202
ΔCE r 773
Tab.1  
?CEES ?CEEI ?CE G
AGR Upstream -5% -42% 93%
Midstream -4% -35% 154%
Downstream -4% -38% 68%
RII Upstream -12% -92% 281%
Midstream -11% -122% 250%
Downstream -15% -108% 255%
LII Upstream -7% -104% 117%
Midstream -11% -136% 183%
Downstream -13% -122% 214%
CII Upstream -8% -78% 205%
Midstream -14% -99% 243%
Downstream -22% -101% 271%
TII Upstream -13% -36% 183%
Midstream -12% -39% 198%
Downstream -20% -96% 247%
CON Upstream -11% -56% 347%
Midstream -16% -61% 406%
Downstream -23% -65% 463%
SEI Upstream -9% -79% 463%
Midstream -12% -97% 461%
Downstream -19% -106% 347%
Tab.2  
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