Evidence map›Paper›PMID 41306866›Full record

ArticleFrontiers in public health2025

The causal effect of new energy logistics vehicle policies on respiratory disease mortality rate.

Wei Zhang, Feng Liu, Nana Liu, Xiaoran Hou

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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.

Wei ZhangSchool of Economics and Management, China University of Mining and Technology, Xuzhou, China.
Feng LiuSchool of Economics and Management, China University of Mining and Technology, Xuzhou, China.
Nana LiuNanjing Institute of Technology, Nanjing, China.
Xiaoran HouSchool of Economics and Management, China University of Mining and Technology, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Amid escalating global efforts to address climate change and persistent threats to public health, evaluating the health benefits of environmental policies is of growing significance. Method: This study leverages the "Green Freight Distribution Demonstration Project" launched in 2018 as a quasi-natural experiment. Utilizing multi-city panel data from China spanning 2011 to 2024, it employs both a Difference-in-Differences (DID) model and a Double Machine Learning (DML) model to rigorously assess the causal impact of policies promoting new energy logistics vehicles on the mortality rate from respiratory diseases among residents. Conclusion: The findings reveal that the policy significantly reduces respiratory disease mortality rate in pilot cities, a conclusion that remains robust across multiple sensitivity analyses. In terms of mechanisms, the policy directly increases the market penetration of new energy logistics vehicles while reducing the share of the secondary industry (SI). Indirectly, it facilitates the low-carbon transition of urban industrial structures, significantly lowering sulfur dioxide (SO

Indexed as

Environmental PolicyRespiratory Tract DiseasesVehicle EmissionsAir PollutionChinaCitiesClimate ChangeHumansVehicle Emissionsair qualitydouble machine learning modelnew energy logistics vehiclesrespiratory disease mortality ratetransport

Identifiers

PMID41306866
PMCPMC12643998

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.