Evidence map›Paper›PMID 42404954›Full record

ArticleFrontiers in public health2026

The impact of the zero-waste city pilot policy on the synergistic reduction of CO₂ and air pollutant emissions: evidence from China.

Bingnan Guo, Yuren Qian, Feng Hu, Hao Hu, Ji Lin

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

5 authors.

Bingnan GuoSchool of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China.
Yuren QianSchool of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China.
Feng HuInstitute of International Business & Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
Hao HuSchool of Economics, Shanghai University, Shanghai, China.
Ji LinSchool of Economics and Management, Wenzhou University of Technology, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of China's carbon peaking and carbon neutrality agenda and intensified pollution control efforts, advancing the synergistic control of CO₂ and air pollutant emissions has become an important pathway toward green transformation and the reduction of environmental health risks. Using panel data for 286 prefecture-level cities in China from 2011 to 2022, this study treats the zero-waste city pilot policy as a quasi-natural experiment and applies a double machine learning framework to identify its impact on urban synergistic outcomes in CO₂ and air pollutant emission control. The results show that: (1) the zero-waste city pilot significantly improves the synergistic control of CO₂ and air pollutant emissions, and this finding remains robust across multiple checks; (2) the policy effect operates mainly through source reduction, resource recycling, and high-standard harmless treatment; and (3) the effects are more pronounced in central and western regions, in small- and medium-sized cities, and in non-resource-based cities. Overall, this study provides new evidence that integrated environmental governance can simultaneously promote environmental sustainability and public health improvement.

Indexed as

Air PollutantsAir PollutionCarbon DioxideEnvironmental PolicyChinaCitiesHumansPilot ProjectsAir PollutantsCarbon Dioxidecircular economyenvironmental exposurepublic healthsynergistic control of CO₂ and air pollutant emissionszero-waste city pilot

Identifiers

PMID42404954
PMCPMC13328013

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.