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Energy-related CO2 emission accounts and datasets for 40 emerging economies in 2010-2019

Cui, C; Li, S; Zhao, W; Liu, B; Shan, Y; Guan, D; (2023) Energy-related CO2 emission accounts and datasets for 40 emerging economies in 2010-2019. Earth System Science Data , 15 (3) pp. 1317-1328. 10.5194/essd-15-1317-2023. Green open access

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Abstract

Since 2000, CO2 emissions from emerging economies have outstripped those of developed economies. To limit global warming to under 1.5gg C by 2100, over 100 emerging economies have proposed net-zero carbon targets. Yet the supportive data are lacking-no inventory of CO2 emission outlines detailed sources by sector or distribution at the subnational level for these economies. Here, we redress the balance by establishing a dataset for an energy-related CO2 emission inventory that covers 47 sectors and eight energy types in 40 emerging economies (10.5281/zenodo.7309360, Cui et al., 2021). Their emissions, growing rapidly by 3.0g%gyr-1, reached 7.5gGt in 2019 and were sourced primarily in coal and oil (34.6g% and 28.1g%, respectively) and consumed by the power and transportation sectors. Meanwhile, among African countries in this group, biomass combustion was responsible for 34.7g%-96.2g% of emissions. Our dataset fills a data gap by providing a detailed, robust emission accounting baseline for emerging economies-an advance that will support emission reduction policymaking at global, national, and subnational levels.

Type: Article
Title: Energy-related CO2 emission accounts and datasets for 40 emerging economies in 2010-2019
Open access status: An open access version is available from UCL Discovery
DOI: 10.5194/essd-15-1317-2023
Publisher version: https://doi.org/10.5194/essd-15-1317-2023
Language: English
Additional information: © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10168648
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