Literature DB >> 30179809

Driving forces and mitigation potential of global CO2 emissions from 1980 through 2030: Evidence from countries with different income levels.

Kangyin Dong1, Hongdian Jiang2, Renjin Sun3, Xiucheng Dong4.   

Abstract

To mitigate global carbon dioxide (CO2) emissions in an effective manner, it is essential to identify the driving forces and estimate the reduction potential of changes to CO2 emissions. Using an extended logarithmic mean Divisia index (LMDI) method, this study decomposes the changes in global emissions between 1980 and 2015 with consideration of different income levels; it also reports on scenario analysis of the global emissions reduction potential up to the year 2030 to explore feasible mitigation pathways. The results suggest that the key driving force responsible for promoting global emissions from 1980 through 2015 is income, while energy intensity is the most significant factor in inhibiting global emissions. Furthermore, the countries with the largest reductions in global emissions are mainly upper-middle-income (UMI) countries. The key driving forces of emissions changes in countries with different income levels offer mixed results. In addition, the forecast results indicate that the future emissions reduction potential across the globe is significant and that UMI countries offer the greatest emissions mitigation potential. Finally, this study provides several targeted policy suggestions for reducing emissions across the globe.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CO(2) emissions; Country income level; Driving forces and mitigation potential; LMDI method; Scenario analysis

Year:  2018        PMID: 30179809     DOI: 10.1016/j.scitotenv.2018.08.326

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Impact of financial development on CO2 emissions: A comparative analysis of developing countries (D8) and developed countries (G8).

Authors:  Hafiz Muhammad Shoaib; Muhammad Zahid Rafique; Abdul Majeed Nadeem; Shaoan Huang
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-29       Impact factor: 4.223

2.  Japan prefectural emission accounts and socioeconomic data 2007 to 2015.

Authors:  Yin Long; Yoshikuni Yoshida; Haoran Zhang; Heran Zheng; Yuli Shan; Dabo Guan
Journal:  Sci Data       Date:  2020-07-13       Impact factor: 6.444

3.  Dynamic Driving Mechanism of Dual Structural Effects on the Correlation between Economic Growth and CO2 Emissions: Evidence from a Typical Transformation Region.

Authors:  Yu Cai; Haiyan Duan; Zhiqiang Luo; Zhiyuan Duan; Xian'en Wang
Journal:  Int J Environ Res Public Health       Date:  2022-03-26       Impact factor: 3.390

4.  Why are some countries cleaner than others? New evidence from macroeconomic governance.

Authors:  Taner Akan; Halil İbrahim Gündüz; Tara Vanlı; Ahmet Baran Zeren; Ali Haydar Işık; Tamerlan Mashadihasanli
Journal:  Environ Dev Sustain       Date:  2022-04-11       Impact factor: 3.219

5.  Quantifying the Impact of Urban Form and Socio-Economic Development on China's Carbon Emissions.

Authors:  Cheng Huang; Yang Qu; Lingfang Huang; Xing Meng; Yulong Chen; Ping Pan
Journal:  Int J Environ Res Public Health       Date:  2022-03-03       Impact factor: 3.390

  5 in total

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