Evidence map›Paper›PMID 36033767›Full record

ArticleFrontiers in public health2022

The effects of environmental tax reform on urban air pollution: A quasi-natural experiment based on the Environmental Protection Tax Law.

Bingnan Guo, Yu Wang, Yu Feng, Chunyan Liang, Li Tang, Xiafei Yao, Feng Hu

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

7 authors.

Bingnan GuoSchool of Humanity and Social Science, Jiangsu University of Science and Technology, Zhenjiang, China.
Yu WangSchool of Humanity and Social Science, Jiangsu University of Science and Technology, Zhenjiang, China.
Yu FengSchool of Humanity and Social Science, Jiangsu University of Science and Technology, Zhenjiang, China.
Chunyan LiangSchool of Humanity and Social Science, Jiangsu University of Science and Technology, Zhenjiang, China.
Li TangSchool of Economics, Shanghai University, Shanghai, China.
Xiafei YaoSchool of Humanity and Social Science, Jiangsu University of Science and Technology, Zhenjiang, China.
Feng HuGlobal Value Chain Research Center, Zhejiang Gongshang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution significantly impacts sustainable development and public health. Taking the implementation of China's Environmental Protection Tax Law in China as a quasi-natural experiment, this paper employs the difference-in-differences (DID) and spatial DID models to evaluate the effects of environmental tax reform on urban air pollution. The findings are as follows. (1) Environmental tax reform can significantly reduce urban air pollution, and a series of robustness tests have also been conducted to provide further evidence. (2) Green technology innovation and industrial structure upgrading from a vital transmission mechanism for environmental tax reform to improve air quality. (3) Environmental tax reform significantly inhibits urban air pollution in cities located north of the Qinling-Huaihe line and big cities. (4) Moreover, environmental tax reform not only promotes the improvement of local air quality but also has a significant negative spatial spillover effect, reducing air pollution in neighboring cities. The research conclusions provide theoretical support and policy suggestions for promoting sustainable economic development, rationally optimizing environmental protection tax policies and improving urban air quality.

Indexed as

Air PollutionConservation of Natural ResourcesChinaCitiesIndustryair qualitydifference-in-differences modelenvironmental tax reformspatial spillover effecturban environment

Identifiers

PMID36033767
PMCPMC9414340

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.