The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies

Shuping Li, Can Cui, Jing Meng*, Yuan Li, Yuli Shan, Weichen Zhao, Priti Parikh, Jiawei Yao, Dabo Guan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Emerging economies are predicted to be future emission hotspots due to expected levels of urbanization and industrialization, and their CO2 emissions are receiving more scrutiny. However, the driving forces underlying dynamic change in emissions are poorly understood, despite their crucial role in developing targeted mitigating pathways. We firstly compile energy-related emissions of 30 selective emerging economies from 2010 to 2018. Then, three growth patterns of emissions in these economies have been identified through emission data, which imply different low-carbon pathways. Most emerging economies saw an increase of varying degrees in emissions, driven by economic growth and partly offset by better energy efficiency and improvements in energy mixes. Furthermore, the industrial structure was another factor that slowed emissions, especially in Latin America and the Caribbean. Our research contributes to the heterogeneous exploration of CO2 emissions produced by energy among sectors and the creation of low-carbon development pathways in emerging economies.

Original languageEnglish
Article number100760
Number of pages12
JournalPatterns
Volume4
Issue number7
Early online date30 May 2023
DOIs
Publication statusPublished - 14 Jul 2023

Bibliographical note

Funding Information:
We acknowledge support from the National Key R&D Program of China (2022YFE0208700), the National Natural Science Foundation of China (72140001 and 7221101088), the UK Natural Environment Research Council (NE/V002414/1), and the Royal Society (IEC/NSFC/191520). Meanwhile, we appreciate members of our group, Yida Sun, Chang Tan, Binyuan Liu, Song Qing, Qi Hao, Huaxi Peng, Qi Huang, Jinglei Wang, Huiting Wu, and Lin Xiao, for help with data collection and compilation.

Publisher Copyright:
© 2023 The Authors

Keywords

  • CO emissions
  • DSML 2: Proof-of-concept: Data science output has been formulated, implemented, and tested for one domain/problem
  • emerging economies
  • low-carbon pathways

ASJC Scopus subject areas

  • General Decision Sciences

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