Evidence map›Paper›PMID 40184179›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Transparency by Chinese cities reduces pollution violations and improves air quality.

Mengdi Liu, Mark T Buntaine, Sarah E Anderson, Bing Zhang

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mengdi Liu *School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China.ORCID 0000-0001-7597-6065
Mark T Buntaine *School of Environmental Science & Management, University of California, Santa Barbara, CA 93106.ORCID 0000-0002-7139-2078
Sarah E AndersonSchool of Environmental Science & Management, University of California, Santa Barbara, CA 93106.ORCID 0000-0002-7522-2340
Bing ZhangSchool of International Trade and Economics, Nanjing University of Finance and Economics, Nanjing 210023, China.ORCID 0000-0002-3395-8667

Funding

National Science Foundation of China 72161147002National Science Foundation of China 72422021National Science Foundation of China 72488101
6 · The paper itself

Abstract

We provide national-scale experimental evidence from China showing that transparency by local governments improves the management of air pollution. Governments that perform better have more reasons to be transparent, making the causal relationship between transparency and policy outcomes difficult to disentangle. In 2015, we randomly assigned municipal governments in China to a high-visibility, public rating of their adherence to national requirements for transparency about their regulation of pollution. By 2016, this treatment significantly boosted transparency in treated cities relative to control cities, allowing us to observe the effect of randomly increasing transparency in the years that followed. Subsequently, high-polluting firms in treated cities cut their violations by 37% compared to similar firms in control cities. Inspections by local governments increased by about 90% in treated cities relative to control cities. Ambient air pollution decreased between 8 and 10% in treated cities relative to control cities, which likely generated significant health benefits. This study provides strong evidence that governmental transparency causes improved environmental quality, at least in a setting where the public and higher governments want to hold local governments accountable.

Indexed as

Air PollutionAir PollutantsChinaCitiesEnvironmental MonitoringHumansLocal GovernmentAir Pollutantsair qualityChinaenvironmental governancetransparency

Identifiers

PMID40184179
PMCPMC12002021

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.