Evidence map›Paper›PMID 34731424›Full record

ArticleEnvironmental science and pollution research international2022

The effect of fiscal decentralization, environmental regulation, and economic development on haze pollution: empirical evidence for 270 Chinese cities during 2007-2016.

Li Xiao-Sheng, Lu Yu-Ling, Muhammad Zahid Rafique, Mahdi Ghaemi Asl

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Economic Growth Targets and Carbon Emissions: Evidence from China.International journal of environmental research and public health · 2022
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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

4 authors.

Li Xiao-ShengSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, People's Republic of China.
Lu Yu-LingSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, People's Republic of China.
Muhammad Zahid RafiqueCenter for Economic Research, Shandong University, 27-Shanda Nanlu, Jinan, Shandong, 250100, People's Republic of China. zahid716@sdu.edu.cn.ORCID http://orcid.org/0000-0001-8563-1888
Mahdi Ghaemi AslFaculty of Economics, Kharazmi University, No. 43, Mofatteh Ave, 15719-14911, Tehran, Iran. m.ghaemi@khu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current discourse addresses fiscal issues, financial decentralization, and environmental quality and significantly affects economic development and sustainability. This investigation aims to address the research gap in fiscal decentralization and haze pollution for innovation and sustainable growth. This study uses the annual data of 270 Chinese cities from 2007 to 2016 for comprehensive analysis and employs spatial regression methods. The key findings imply that haze pollution in neighbouring cities causes further ecological issues. While the environmental regulations of China tend to have negative impacts on pollution, fiscal decentralization was found to be a key contributor to environmental pollution in Chinese cities. Overall, the study supports the validity of the pollution refuge hypothesis in China. Lastly, the conclusions allow us to conclude that China might need micro-level reforms regarding fiscal decentralization, environmental tax laws, and encouragement of cleaner production technologies.

Indexed as

Air PollutionEconomic DevelopmentChinaCitiesEnvironmental PollutionPoliticsChinese citiesCleaner production technologiesEnvironmental regulationsFiscal decentralizationHaze pollutionSpatial methods

Identifiers

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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.