Evidence map›Paper›PMID 42841112›Full record

ArticlePNAS nexus2026

Salient air pollution mobilizes bottom-up green engagement: Evidence from the world's largest green mobile program.

Jiafu An, Jiawen Huang, Chen Lin, Difang Huang

Abstract read
In one paragraph

Article in PNAS nexus, 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

4 authors.

Jiafu AnDepartment of Real Estate and Construction, University of Hong Kong, Hong Kong SAR 999077, China.ORCID https://orcid.org/0000-0002-3025-3119
Jiawen HuangWang Yanan Institute for Studies in Economics (WISE), School of Economics, Xiamen University, Xiamen 361005, Fujian, China.
Chen LinFaculty of Business and Economics, University of Hong Kong, Hong Kong SAR 999077, China.ORCID https://orcid.org/0000-0003-4205-8633
Difang HuangAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.ORCID https://orcid.org/0000-0002-1159-3134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution imposes large health and economic costs worldwide, yet most mitigation efforts still rely primarily on top-down regulation of major emitters. We examine whether salient deterioration in local air quality mobilizes bottom-up engagement with a green digital program. Using user-month panel data on 200,000 users of Ant Forest-the world's largest green mobile program-across 331 Chinese cities from 2019 to 2020, we show that the same individuals respond to severe local pollution by generating more green energy through eligible low-carbon activities, engaging more intensively and more frequently with the program to collect the resulting credits, and redeeming more credits for collaborative tree planting in the following month. The responses are dose-responsive-larger under "Hazardous" (AQI ≥ 300) than "Very Unhealthy" (AQI ≥ 200) conditions-and representative survey data show that pollution exposure raises stated environmental concern. Our findings indicate that digital green programs can help translate heightened environmental concern into measurable green engagement and downstream environmental contributions, complementing top-down regulation.

Identifiers

PMID42841112
PMCPMC13641168

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.