Evidence map›Paper›PMID 39739688›Full record

ArticlePloS one2024

Analysis of the spatiotemporal evolution of birth rates and influencing factors in the Yangtze River Basin.

Xiujuan Jiang, Qianhua Pan, Wei Xu, Jingyuan Sun, Sicheng Chen

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiujuan JiangSchool of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China.ORCID 0009-0008-2540-637X
Qianhua PanInfrastructure Construction Investment of China Construction Third Engineering Bureau Ltd, Wuhan, Hubei, China.
Wei XuSchool of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China.ORCID 0009-0004-9315-6289
Jingyuan SunSchool of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China.
Sicheng ChenSchool of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The declining birth rate is one of the world's major challenges. There is much literature on birth rate research in China. However, there are few studies on spatial distribution and influencing factors of birth rate in the Yangtze River Basin. In this study, data from 11 regions of the Yangtze River Basin from 2006 to 2023 were used to analyze the spatial and temporal distribution characteristics of birth rates using GIS spatial visualization and four-quadrant diagram. At the same time, 13 factors affecting birth rates were combined to carry out research. The results show that: (1) In 2023, five regions reported birth rates above 7‰, with Tibet faring the best, while six regions had rates below 7‰, with Hunan being the least favorable. (2) The first type of birth rate area shows a process of slow increase-slight decrease-accelerated growth-rapid decrease; the second type of birth rate area shows a process of gradual decrease-moderate increase-rapid decrease-rapid increase-rapid decrease; the third type of birth rate area has increased rapidly since 2021. The three types of birth rate areas show the characteristics of the spatiotemporal pattern of continuous spread and development. (3) The aging rate, per capita GDP, proportion of primary industry output value, proportion of tertiary industry output value, female illiteracy rate, per capita disposable income, per capita consumption expenditure, urbanization rate, proportion of higher education, juvenile dependency ratio, and elderly dependency ratio have different degrees of influence on the birth rate.

Indexed as

Birth RateRiversSpatio-Temporal AnalysisChinaFemaleHumansMaleSocioeconomic Factors

Identifiers

PMID39739688
PMCPMC11687700

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