Evidence map›Paper›PMID 40676015›Full record

ArticleNature communications2025

Leveraging multinational enterprises to reduce the escalating regional carbon inequality in China.

Kailan Tian, Yu Zhang, Jing Meng, Zhuoying Zhang, Yuli Shan, Heran Zheng, Xiaowei Nie, Cuihong Yang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Kailan Tian *State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-2405-9587
Yu Zhang *Yangtze Industrial Development Institute, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0003-0880-7450
Jing MengThe Bartlett School of Sustainable Construction, University College London, London, UK. jing.j.meng@ucl.ac.uk.ORCID http://orcid.org/0000-0001-8708-0485
Zhuoying ZhangNational Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China. zhangzy@itpcas.ac.cn.ORCID http://orcid.org/0000-0002-6479-1679
Yuli ShanSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-5215-8657
Heran ZhengThe Bartlett School of Sustainable Construction, University College London, London, UK.ORCID http://orcid.org/0000-0003-0818-7933
Xiaowei NieNational Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
Cuihong YangState Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China. chyang@iss.ac.cn.ORCID http://orcid.org/0000-0002-4340-713X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72373141National Natural Science Foundation of China (National Science Foundation of China) 72373141, 71903186, 72403115, 71988101
6 · The paper itself

Abstract

Multinational enterprises (MNEs) affect regional inequality as they exert substantial yet uneven economic and environmental effects. This study evaluates the impacts of MNEs on China's regional carbon emission inequality against value-added gains using an environmentally extended interprovincial input-output model that differentiates MNEs activities across China's provincial-level administrative divisions. We find that MNEs predominantly concentrated in developed coastal regions from 1997-2012, while less developed inland regions accounted for less than 30% of MNEs-generated value-added but over 50% of MNEs-related carbon emissions. This imbalance exacerbated regional inequality during this period. A pivotal change occurred over 2012-2017 as MNEs increasingly relocated inland and expanded their presence in clean technology-intensive industries, significantly reducing regional inequality. We also highlight the potential of leveraging MNEs' knowledge spillovers to mitigate emissions and inequality. These insights offer policy implications for strategically deploying MNEs to address inequality and climate change, aligning with Sustainable Development Goals.

Identifiers

PMID40676015
PMCPMC12271316

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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.