Evidence map›Paper›PMID 40488136›Full record

ArticleEnvironmental science and ecotechnology2025

Aligning regional carbon neutrality pathways with national climate goals: An integrated analytical framework.

Li Zhang, Mingyu Li, Zhe Zhang, Linyan Li, Jin Yuan, Shuying Zhu, Huili Wang, Min Jia, Jianhui Ruan, Lingyun Pang and 6 more

Abstract read
In one paragraph

Article in Environmental science and ecotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Li ZhangSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China.
Mingyu LiSchool of Environment, Tsinghua University, Beijing, 100084, China.
Zhe ZhangCenter for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043, China.
Linyan LiDepartment of Data Science, City University of Hong Kong, 999077, Hong Kong Special Administrative Region of China.
Jin YuanShanxi Coshare Innovation Institute of Energy & Environment, Taiyuan, 030032, China.
Shuying ZhuCenter for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043, China.
Huili WangCenter for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043, China.
Min JiaSchool of Economics and Management, Beihang University, Beijing, 100191, China.
Jianhui RuanSchool of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, China.
Lingyun PangCenter for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043, China.
Yingying GuChina Academy of Building Research, Beijing, 100013, China.
Shu YeKey Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
Xiaojun ChenCenter for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043, China.
Lirong ZhangCenter of Biodiversity and Protected Areas, Chinese Academy of Environmental Planning, Beijing, 100043, China.
Bofeng CaiCenter for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043, China.
Jinnan WangCenter for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under national carbon neutrality targets, energy-producing regions hold significant responsibilities for reducing emissions. Given the diverse economic, industrial, and resource profiles of these regions, tailored strategies are essential for designing regional emission pathways. Currently, a systematic analysis that simultaneously integrates broader national climate objectives and regional heterogeneity is lacking, hindering the formulation of localized roadmaps. To address this gap, we propose an integrated analytical framework combing top-down and bottom-up approaches. It considers macro-level constraints (socio-economic development) and micro-level feasibility (renewable energy potential and forest carbon sinks), incorporating diverse regional characteristics such as resource endowment, energy consumption patterns, and industrial structures. We apply this approach to an energy-producing region in central China. Our analysis highlights the need for a clean energy transition that maintains energy security and meets growing electricity demands. By 2060, wind and solar power are projected to account for 87 % of electricity generation, representing a substantial shift from the current fossil-fuel-dependent structure. Significant reductions in greenhouse gas emissions can be achieved by optimizing the energy structure, enforcing production controls, and deploying advanced technologies across industry, transportation, and buildings. Additionally, enhancing carbon removal strategies will further support emission reduction targets. This framework demonstrates the feasibility of achieving climate objectives in fossil-fuel-dependent regions, providing strategic guidance for integrating regional traits into national decarbonization plans.

Indexed as

Carbon peak and neutralityChinaGreenhouse gas emissionsPathwayRegion

Identifiers

PMID40488136
PMCPMC12141955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.