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      The impact of income inequality on the fertility intention: A micro perspective based on relative deprivation

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          Abstract

          The relative deprivation index can reflect the income inequality faced by different individuals, which is helpful to understand the relationship between income inequality and the variability of fertility intentions. But previous studies have almost focused on the macro indicators of income inequality, ignoring individual heterogeneity in income inequality. In this study, we explore the causal relationship and potential mechanisms between income inequality and fertility intentions from the perspective of relative deprivation in income. The findings are as follows: (1) An increase in income inequality boosts individuals’ fertility intentions, and the results are still robust after using the instrumental variables two-stage least squares (2SLS) model to deal with endogeneity. (2) Mechanism analysis reveals that income inequality improves individuals’ fertility intentions through the channels of “Build hopes on children”, “Allocate more time to families” and “Put less value on children’s education”. (3) Heterogeneity analysis indicates that income inequality has a more pronounced positive impact on fertility intentions of individuals with poor education, low household assets and without pension insurance. (4) Further analysis reveals that an increase in income inequality at macro level also promote individuals’ fertility intentions. Our findings hold significant policy implications for promoting a rebound in fertility rates. When developing policies to adjust income distribution, it is necessary to consider the response of individuals’ fertility decisions to income inequality. Policymakers should ensure that efforts to improve income distribution do not inadvertently reduce the willingness of individuals to have more children.

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          Most cited references68

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          A Theory of Fairness, Competition, and Cooperation

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            Income Inequality, Equality of Opportunity, and Intergenerational Mobility

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              An Equilibrium Theory of the Distribution of Income and Intergenerational Mobility

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 December 2024
                2024
                : 19
                : 12
                : e0311991
                Affiliations
                [001] School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, China
                Harran University: Harran Universitesi, TÜRKIYE
                Author notes

                Competing Interests: NO authors have competing interests.

                Author information
                https://orcid.org/0009-0000-8014-9443
                Article
                PONE-D-24-17975
                10.1371/journal.pone.0311991
                11620411
                39636883
                6756207e-4051-4a06-a65a-b0dcecd1afdf
                © 2024 Li et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 May 2024
                : 29 September 2024
                Page count
                Figures: 1, Tables: 9, Pages: 20
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100012456, National Social Science Fund of China;
                Award ID: 22ZDA049
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100012456, National Social Science Fund of China;
                Award ID: 23VRC052
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100012226, Fundamental Research Funds for the Central Universities;
                Award ID: 2023110395
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100012226, Fundamental Research Funds for the Central Universities;
                Award ID: 2023110310
                Award Recipient :
                Funded by: Shanghai University of Finance and Economics 2024 Graduate Student Innovation Fund
                Award ID: CXJJ-2024-333
                Award Recipient :
                W.W. received Grant from the National Social Science Fund of China, (22ZDA049) and National Social Science Fund of China (23VRC052) and the Fundamental Research Funds for the Central Universities (2023110395) and the Fundamental Research Funds for the Central Universities (2023110310) and J.L. received Grant from Shanghai University of Finance and Economics 2024 Graduate Student Innovation Fund (CXJJ-2024-333). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Social Sciences
                Sociology
                Human Families
                Engineering and Technology
                Management Engineering
                Risk Management
                Insurance
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Instrumental Variable Analysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Instrumental Variable Analysis
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Fertility Rates
                Social Sciences
                Economics
                Labor Economics
                Employment
                Social Sciences
                Economics
                Human Capital
                Social Sciences
                Economics
                Development Economics
                Economic Growth
                Custom metadata
                All data files are available from the China Family Panel Studies (CFPS) database. The link to the dataset is: https://www.isss.pku.edu.cn/cfps/wdzx/tcwj/index.htm

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