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Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces

Fang, Kai, Tang, Yiqi, Zhang, Qifeng, Song, Junnian, Wen, Qi, Sun, Huaping, Ji, Chenyang, Xu, Anqi·2019·Applied Energy

Abstract

Abstract China has pledged in its Nationally Determined Contributions (NDCs) that its carbon emissions will peak no later than 2030. However, the varying carbon emissions trajectories of individual provinces make it difficult to determine whether China can fulfill this ambitious goal on time. To bring transparency and clarity to this core issue, this paper explores for the first time whether and how all the 30 Chinese provinces will peak their energy-related emissions in future by developing a set of extended STIRPAT models that investigate the driving forces behind each province and integrating the estimates into scenario analysis for peaking simulation. We observe that, despite continued economic growth, 26 provinces are highly likely to reach peak emissions under at least one scenario, whereas the remaining are not. We find it interesting that the earliest peaking scenarios may not be the best option for those provinces whose cumulative carbon emissions are estimated to be considerably large. To ensure a viable reaching of China’s peak emissions, much more attention should be paid to seeking for the most appropriate emissions trajectory to peak at the subnational level with relatively low cumulative value. Provincial results in aggregate show that China may peak emissions in the period 2028–2040, with cumulative emissions ranging from 403,607 Mt CO2 (corresponding to peaking in 2030) to 456,191 Mt CO2 (corresponding to peaking in 2038), while 2030 would be the optimal year for the country to peak because of the lowest cumulative carbon emissions. Our findings only provide a deeper understanding of China’s potential peaking paths by province, but also assist policy makers in better prediction and evaluation of possible emissions trajectory for other nations and the whole world from a bottom-up perspective, and therefore could be of global significance.

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Metadata

Authors
Fang, K., Tang, Y., Zhang, Q., Song, J., Wen, Q., Sun, H., Ji, C., & Xu, A.
Venue
Applied Energy
Publisher
Elsevier BV
Published
2019-12
Volume
255
Pages
113852
ISSN
0306-2619 (ISSN-L)
OpenAlex
W2973049168
Cited by
298
References
57
FWCI
37.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces. https://app.cochat.ai/papers/10.1016/j.apenergy.2019.113852
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Fang, K., Tang, Y., Zhang, Q., Song, J., Wen, Q., Sun, H., Ji, C., & Xu, A. (2019). Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces. Applied Energy. https://doi.org/10.1016/j.apenergy.2019.113852

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