Evidence map›Paper›PMID 38102105›Full record

ArticleNature communications2023

Approaching national climate targets in China considering the challenge of regional inequality.

Biying Yu, Zihao Zhao, Yi-Ming Wei, Lan-Cui Liu, Qingyu Zhao, Shuo Xu, Jia-Ning Kang, Hua Liao

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Biying YuCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China. yubiying_bj@bit.edu.cn.ORCID http://orcid.org/0000-0002-3108-2702
Zihao ZhaoCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
Yi-Ming WeiCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China. wei@bit.edu.cn.ORCID http://orcid.org/0000-0002-8476-7334
Lan-Cui LiuSchool of Business Administration, Beijing Normal University, Beijing, 100875, China. liulancui@163.com.ORCID http://orcid.org/0000-0002-9132-4398
Qingyu ZhaoCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
Shuo XuCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.ORCID http://orcid.org/0000-0003-0950-3846
Jia-Ning KangCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.ORCID http://orcid.org/0000-0002-5460-3152
Hua LiaoCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72073014National Natural Science Foundation of China (National Science Foundation of China) 72104025National Natural Science Foundation of China (National Science Foundation of China) 72225010, 71822401, 72140003National Natural Science Foundation of China (National Science Foundation of China) 72293605
6 · The paper itself

Abstract

Achievement of national climate targets and the corresponding costs would entirely depend on regional actions within the country. However, because of substantial inequalities and heterogeneities among regions, especially in developing economies, aggressive or uniform actions may exacerbate inequity and induce huge economic losses, which in turn challenges the national climate pledges. Hence, this study extends prior research by proposing economically optimal strategies that can achieve national climate targets and ensure the greatest local and national benefits as well as regional equality. Focusing on the biggest developing country China, we find this strategy can avoid up to 1.54% of cumulative GDP losses for approaching carbon neutrality, and more than 90% of regions would obtain economic gains compared either with existing independently launched targets or with the uniform strategy that all regions achieve peak carbon emissions before 2030. We also provide optimal carbon mitigation pathways to regional peak carbon, carbon intensity and energy consumption.

Identifiers

PMID38102105
PMCPMC10724292

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.