Evidence map›Paper›PMID 41390897›Full record

ArticleCarbon balance and management2025

Navigating carbon neutrality: policy pathways and consistency on industrial decarbonization in China.

Cheng Zhou, Wanhao Zhang, Clare Richardson-Barlow, Zhenhua Zhang

Abstract read
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Article in Carbon balance and management, 2025. 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

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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

4 authors.

Cheng ZhouSchool of Public Administration, Huaiyin Normal University, Huaian, China.
Wanhao ZhangDepartment of Interdisciplinary Studies of Culture, Norwegian University of Science and Technology, Trondheim, Norway. wanhao.zhang@ntnu.no.
Clare Richardson-BarlowSchool of Politics & International Studies, University of Leeds, Leeds, UK.
Zhenhua ZhangSchool of Economics, Lanzhou University, Lanzhou, China. zhangzhenhua@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change has intensified global demands for industrial decarbonization and carbon neutrality. As the world's largest carbon emitter, China's policy approach is pivotal to international climate governance and the low-carbon transition. This study conducts the first systematic evaluation of China's industrial decarbonization policy framework established toward the carbon neutrality goal. Through a mixed-methods approach combining bibliometric analysis and Policy Modeling Consistency (PMC) Index, we analyze 58 national policy documents comprising approximately 610,000 Chinese characters. Results across five key decarbonization pathways show notable disparities in policy consistency: carbon emission abatement achieves perfect consistency (PMC-Index = 9.07), reflecting China's prioritization of greenhouse gas emission controls, while energy efficiency (8.14) and scientific and technological innovation (8.12) demonstrate good consistency. By contrast, socio-economic risk mitigation (6.97) and circular economy (6.77) pathways only reach acceptable levels, revealing gaps in integrating just transition principles and industrial symbiosis. The asymmetric consistency stems from a misalignment across the five policy pathways, particularly the underdeveloped linkages between decarbonization, circularity, and socio-economic consideration. We recommend strengthening circular economy institutions through sector-specific material flow governance and industrial symbiosis networks, alongside proactive just transition policies such as skill development initiatives and compensatory mechanisms for vulnerable communities. This study contributes to theories of environmental governance and policy mixes, while offering globally applicable insights for reconciling emission reduction with industrial competitiveness and social equity.

Indexed as

Carbon neutralityClimate changeEnvironmental governanceIndustrial decarbonizationPMCPolicy pathway

Identifiers

PMID41390897
PMCPMC12739856

What OpenQuestion holds

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LicenceCC BY
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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.