4 datasets found
  1. f

    S1 Data -

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Guangli Yang; Liangchen Zhang (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0289781.s001
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Guangli Yang; Liangchen Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The outbreak of the COVID-19 in early 2020 and the recurring epidemic in later years have disturbed China’s economy. Moreover, China’s demographic dividend has been disappearing due to its fastest aging population and declining birth rate. The birth rates in eastern provinces of China are much lower than those of the western provinces. Considering the impacts of the COVID-19 and aging population, this paper focused on the relationship between birth rate and the disposable income and tried to find effective measures to raise China’s birth rate. We discovered through regression analysis that the link between per capita disposable income and birth rate is initially "reverse J" and later "inverted J", indicating that per capita disposable income will influence the birth rate. Women’s employment rate and educational level are negatively correlated with the birth rate. To raise the fertility rate in China, it is necessary to increase the marriage rate and the willingness to have children by raising the per capita disposable income and introducing effective tax relief policies.

  2. f

    Correlation analysis.

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Guangli Yang; Liangchen Zhang (2023). Correlation analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0289781.t003
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Guangli Yang; Liangchen Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The outbreak of the COVID-19 in early 2020 and the recurring epidemic in later years have disturbed China’s economy. Moreover, China’s demographic dividend has been disappearing due to its fastest aging population and declining birth rate. The birth rates in eastern provinces of China are much lower than those of the western provinces. Considering the impacts of the COVID-19 and aging population, this paper focused on the relationship between birth rate and the disposable income and tried to find effective measures to raise China’s birth rate. We discovered through regression analysis that the link between per capita disposable income and birth rate is initially "reverse J" and later "inverted J", indicating that per capita disposable income will influence the birth rate. Women’s employment rate and educational level are negatively correlated with the birth rate. To raise the fertility rate in China, it is necessary to increase the marriage rate and the willingness to have children by raising the per capita disposable income and introducing effective tax relief policies.

  3. Baseline regression results.

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Guangli Yang; Liangchen Zhang (2023). Baseline regression results. [Dataset]. http://doi.org/10.1371/journal.pone.0289781.t004
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Guangli Yang; Liangchen Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The outbreak of the COVID-19 in early 2020 and the recurring epidemic in later years have disturbed China’s economy. Moreover, China’s demographic dividend has been disappearing due to its fastest aging population and declining birth rate. The birth rates in eastern provinces of China are much lower than those of the western provinces. Considering the impacts of the COVID-19 and aging population, this paper focused on the relationship between birth rate and the disposable income and tried to find effective measures to raise China’s birth rate. We discovered through regression analysis that the link between per capita disposable income and birth rate is initially "reverse J" and later "inverted J", indicating that per capita disposable income will influence the birth rate. Women’s employment rate and educational level are negatively correlated with the birth rate. To raise the fertility rate in China, it is necessary to increase the marriage rate and the willingness to have children by raising the per capita disposable income and introducing effective tax relief policies.

  4. Descriptive statistics of variables.

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Guangli Yang; Liangchen Zhang (2023). Descriptive statistics of variables. [Dataset]. http://doi.org/10.1371/journal.pone.0289781.t002
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Guangli Yang; Liangchen Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The outbreak of the COVID-19 in early 2020 and the recurring epidemic in later years have disturbed China’s economy. Moreover, China’s demographic dividend has been disappearing due to its fastest aging population and declining birth rate. The birth rates in eastern provinces of China are much lower than those of the western provinces. Considering the impacts of the COVID-19 and aging population, this paper focused on the relationship between birth rate and the disposable income and tried to find effective measures to raise China’s birth rate. We discovered through regression analysis that the link between per capita disposable income and birth rate is initially "reverse J" and later "inverted J", indicating that per capita disposable income will influence the birth rate. Women’s employment rate and educational level are negatively correlated with the birth rate. To raise the fertility rate in China, it is necessary to increase the marriage rate and the willingness to have children by raising the per capita disposable income and introducing effective tax relief policies.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Guangli Yang; Liangchen Zhang (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0289781.s001

S1 Data -

Related Article
Explore at:
binAvailable download formats
Dataset updated
Aug 9, 2023
Dataset provided by
PLOS ONE
Authors
Guangli Yang; Liangchen Zhang
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The outbreak of the COVID-19 in early 2020 and the recurring epidemic in later years have disturbed China’s economy. Moreover, China’s demographic dividend has been disappearing due to its fastest aging population and declining birth rate. The birth rates in eastern provinces of China are much lower than those of the western provinces. Considering the impacts of the COVID-19 and aging population, this paper focused on the relationship between birth rate and the disposable income and tried to find effective measures to raise China’s birth rate. We discovered through regression analysis that the link between per capita disposable income and birth rate is initially "reverse J" and later "inverted J", indicating that per capita disposable income will influence the birth rate. Women’s employment rate and educational level are negatively correlated with the birth rate. To raise the fertility rate in China, it is necessary to increase the marriage rate and the willingness to have children by raising the per capita disposable income and introducing effective tax relief policies.

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