Evidence map›Paper›PMID 33145734›Full record

ArticleEnvironmental science and pollution research international2021

Economic policy choice of governing haze pollution: evidence from global 74 countries.

Feng Dong, Xiaojie Zhang, Yajie Liu, Yuling Pan, Xiaoyun Zhang, Ruyin Long, Ziyuan Sun

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The effect of the industrial structure and haze pollution: spatial evidence for China.Environmental science and pollution research international · 2022
    Article
  5. Can transportation infrastructure reduce haze pollution in China?Environmental science and pollution research international · 2022
    Article
  6. Article
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.

Feng DongSchool of Economics and Management, China University of Mining and Technology, 221116, Xuzhou, People's Republic of China. dongfeng2008@126.com.ORCID http://orcid.org/0000-0002-5177-6453
Xiaojie ZhangSchool of Economics and Management, China University of Mining and Technology, 221116, Xuzhou, People's Republic of China.
Yajie LiuSchool of Economics and Management, China University of Mining and Technology, 221116, Xuzhou, People's Republic of China.
Yuling PanSchool of Economics and Management, China University of Mining and Technology, 221116, Xuzhou, People's Republic of China.
Xiaoyun ZhangSchool of Economics and Management, China University of Mining and Technology, 221116, Xuzhou, People's Republic of China.
Ruyin LongSchool of Economics and Management, China University of Mining and Technology, 221116, Xuzhou, People's Republic of China.
Ziyuan SunSchool of Economics and Management, China University of Mining and Technology, 221116, Xuzhou, People's Republic of China. zycumt@126.com.

Funding

Humanities and Social Science Fund of Ministry of Education of China 19JDGC011Jiangsu Funds for Social Science 17JDB004Major Program of National Fund of Philosophy and Social Science of China 19ZDA107National Natural Science Foundation of China 71974188 and 71573254
6 · The paper itself

Abstract

Haze pollution not only has a huge impact on economic development but also seriously damages the health of residents, which has attracted the attention of many countries and scholars. The geographical detector model and the panel quantile regression model are used in combination to analyze the socio-economic driving factors of haze pollution from 2010 to 2015 for 74 significantly representative countries. The main results are as follows: (1) Industrial structure is the main factor affecting the haze concentration, followed by economic growth and research and development (R&D) intensity. (2) Government influence and industrial structure will significantly aggravate haze pollution, whereas the energy intensity and economic growth have an inhibitory effect on haze concentration. Countries with severe haze pollution should focus on upgrading their industrial structure and avoiding energy rebound. (3) Urbanization, foreign investment, and R&D intensity have different effects on the haze concentration among countries with different pollution levels. Specifically, the relationship between economic growth and pollution is inverted N-shaped in countries with medium haze concentration, whereas in other countries, it is positive N-shaped. Countries should actively leverage the agglomeration effect of high-density urban populations and focus on the introduction of high-quality foreign capital.

Indexed as

Air PollutionChinaEconomic DevelopmentEnvironmental PollutionIndustryUrbanizationGeographical detector modelGovernment influenceHaze pollutionPanel quantile regression

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.