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

Kangyin Dong; Hongdian Jiang; Renjin Sun; Xiucheng Dong

doi:10.1016/j.scitotenv.2018.08.326

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

Sci Total Environ. 2019 Feb 1:649:335-343. doi: 10.1016/j.scitotenv.2018.08.326. Epub 2018 Aug 27.

Authors

Kangyin Dong¹, Hongdian Jiang², Renjin Sun³, Xiucheng Dong⁴

Affiliations

¹ School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China; Department of Agricultural, Food and Resource Economics, Rutgers, The State University of New Jersey, NJ 08901, USA.
² School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China.
³ School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China; State Key Laboratory of Heavy Oil Processing, China University of Petroleum-Beijing, Beijing 102249, China. Electronic address: sunrenjin@cup.edu.cn.
⁴ School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China.

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

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.

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