Evidence map›Paper›PMID 38127126›Full record

ArticleInternational journal of biometeorology2024

Public perceptions of air pollution and its impacts on fertility desire: a nationwide study in China.

Xing Bang He, Kui Zhou, Jamal Hussain, Rizwan Akhtar

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Article in International journal of biometeorology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

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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

5 · Who and what money

Authors and funding

4 authors.

Xing Bang HeSouthwest Petroleum University, No. 8, Xindu Road, Xindu District, Chengdu, 610500, China.
Kui ZhouSchool of Economics, Southwestern University of Finance and Economics, 55, Guanghuacun Street, Chengdu, 611130, China. zhou@swufe.edu.cn.
Jamal HussainSchool of Economics, Southwestern University of Finance and Economics, 55, Guanghuacun Street, Chengdu, 611130, China. jamal.hussain@kiu.edu.pk.
Rizwan AkhtarDepartment of Economics, Karakoram International University, Gilgit, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past few years, there has been a significant focus on air pollution due to its various detrimental effects on human health. However, its influence on people's tendency to have children remains uncertain, as only a few studies have examined the correlation between public perception of air pollution and the desire to start a family. This article introduces a theoretical framework utilizing a two-stage interval iteration model to explore the connection between children's relative utility and the perception of air pollution. Data for this study were gathered from the "Chinese General Social Survey" (CGSS 2013). The CGSS 2013 project employed a four-stage stratified random sampling technique and conducted household interviews using questionnaires. The sample covered 28 provincial-level cities across China. The hypothesis was tested using a Probit regression model. The findings indicate that individuals considering air pollution a significant issue are 8.62% less likely to have more than one child. The variation in fertility desire sensitivity to air pollution points to heterogeneity among residents, such as registered residents and those living in various residential areas, as well as individuals with different characteristics like education levels. The study concludes that air quality significantly influences human fertility desire, highlighting the urgent necessity to raise awareness of environmental protection issues among both the public and authorities. In particular, there are two key steps to address this issue. Firstly, the government should establish clear air pollution control objectives and refine policies to enhance governance efficiency. Secondly, there is a need to encourage environmentally friendly behaviours among the public, promote more significant involvement in public environmental matters, and ensure effective oversight of the government's responsibilities in managing air pollution.

Indexed as

Air PollutantsAir PollutionChildChinaCitiesConservation of Natural ResourcesHumansPublic OpinionResearch DesignAir PollutantsChinaFertility desirePerception of air pollutionProbit regressionRelative utility of childrenTwo-stage interval iterative model

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.