Evidence map›Paper›PMID 38042784›Full record

ArticleBMC public health2023

Environmental quality and its impact on total fertility rate: an econometric analysis from a new perspective.

Shah Md Atiqul Haq, Mohammad Ashraful Ferdous Chowdhury, Khandaker Jafor Ahmed, Mohammed Thanvir Ahmed Chowdhury

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 2 countries.

Shah Md Atiqul HaqDepartment of Sociology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh. shahatiq1@yahoo.com.ORCID 0000-0001-9121-4028
Mohammad Ashraful Ferdous ChowdhuryDepartment of Business Administration, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.ORCID 0000-0001-8540-1353
Khandaker Jafor AhmedInstitute for the Study of International Migration, Walsh School of Foreign Service, Georgetown University, 37Th and O Streets, NW, WA DC, 20057, USA.ORCID 0000-0003-4409-5710
Mohammed Thanvir Ahmed ChowdhuryDepartment of Applied Sociology and Social Work, North East University Bangladesh, Sylhet, 3114, Bangladesh.
Shahjalal University of Science and Technology · BDWalsh University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnvironmental quality significantly affects various aspects of human existence. This study employs ecological footprint as a proxy to assess the impact of environmental quality on the TFR, measured as births per woman. This study investigates the extent to which ecological footprint indicators impact on the TFR in across 31 countries between from 1990 to 2017.

methodsWe gathered data on ecological footprints, specifically carbon, agricultural land, grazing land, forest products, and fisheries, from the Global Footprint Network. Information on the TFR, Human Development Index (HDI), and per capita Gross National Income (GNI) were sourced from the World Bank and the United Nations. We applied static panel and quantile regression models to scrutinize the connection between the ecological footprint and TFR, showing how the former influences the latter.

resultsThe outcomes reveal that, in both fixed and random effects models, factors including HDI, carbon, and fishing grounds exert a negative influence on TFR, all at a significance level of p < 0.01. Conversely, cropland and forest product footprints exhibited a favorable impact on the TFR (p < 0.01). Furthermore, GNI per capita positively affected the TFR in both models, with a p-value of 0.01. Quantiles regression analysis demonstrated that HDI and carbon footprint had a negative impact on TFR across all quantiles. This statistical significance is maintained for all quantiles, although it is only significant for the carbon footprint up to the 60th quantile, at p < 0.01.

conclusionsThis study establishes a negative correlation between specific ecological footprint indicators, such as carbon and fishing grounds, and TFR. Conversely, there was a positive correlation between the footprint of forest products and the TFR. The primary conclusion drawn is that there is heterogeneity in the results regarding the relationship between ecological footprint and TFR. Moreover, the ecological footprint indicators considered in this study did not uniformly influence TFR. Each ecological footprint indicator exhibited distinct effects on the TFR, displaying either positive or negative correlation coefficients. Future research endeavors may delve into how ecological footprints impact other population dynamics, such as mortality and migration.

Indexed as

Birth RateEnvironmentCarbonEconomic DevelopmentFemaleFertilityHumansIncomePopulation DynamicsCarbonEcological footprintsEconometric analysisFixed and random effectsGNIHDIQuantile regressionTotal fertility rate

Identifiers

PMID38042784
PMCPMC10693138
OpenAlexW4389272352

What OpenQuestion holds

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LicenceCC BY
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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.