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Does fiscal expenditure contribute to increasing fertility intentions of rural households?

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  • Gong, Zhongyi
  • Ge, Mei

Abstract

This study investigates the link between fiscal expenditure and rural households' fertility intentions based on relevant CFPS data. It is found that increasing public service government fiscal expenditures can effectively increase the fertility intentions of rural households, and further analysis shows that government fiscal expenditures on public services can increase the fertility intentions of rural households by increasing their annual household incomes. This study also conducted robustness test and endogeneity test to ensure the robustness of its results.

Suggested Citation

  • Gong, Zhongyi & Ge, Mei, 2024. "Does fiscal expenditure contribute to increasing fertility intentions of rural households?," Finance Research Letters, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:finlet:v:63:y:2024:i:c:s1544612324003167
    DOI: 10.1016/j.frl.2024.105286
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    References listed on IDEAS

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    1. Liu, Shanmin & Zhuo, Yangyuan & Shen, Xinyue & Cai, Mengda & Yang, Ye, 2023. "The impact of declined social insurance contribution rate on enterprise total factor productivity: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    2. Yin, Zhichao & Liu, Jiayi & Wang, Yumeng, 2023. "Fertility policy and stock market participation: Evidence from the universal two-child policy in China," International Review of Financial Analysis, Elsevier, vol. 86(C).
    3. Wang, Jianqiu & Yin, Zhichao & Jiang, Jialing, 2023. "The effect of the digital divide on household consumption in China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. Hanna Vseviov & Allan Puur & Mark Gortfelder, 2023. "Fertility Intentions and Sexual Orientation: Evidence from the 2020 Youth Survey in Estonia," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(2), pages 1-26, April.
    5. Wang, Di & Guo, Liangju & Xing, Saipeng, 2024. "Compulsory liability insurance and excess cash holdings: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 91(C).
    6. Yu Yang & Rongxin He & Ning Zhang & Liming Li, 2023. "Second-Child Fertility Intentions among Urban Women in China: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    7. Tang, Le & Sun, Shiyu, 2022. "Fiscal incentives, financial support for agriculture, and urban-rural inequality," International Review of Financial Analysis, Elsevier, vol. 80(C).
    8. Guo, Xiaoxin & Zhong, Shihu, 2023. "Unintended consequences: How does digital inclusive finance affect migrants' urban settlement intentions?," International Review of Financial Analysis, Elsevier, vol. 89(C).
    9. Meng, Lina & Peng, Lu & Zhou, Yinggang, 2023. "Do housing booms reduce fertility intentions? Evidence from the new two-child policy in China," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    10. French, Declan, 2023. "Exploring household financial strain dynamics," International Review of Financial Analysis, Elsevier, vol. 86(C).
    11. Li, Jiayi & Luo, Sumei & Zhou, Guangyou, 2023. "Electronic payment, natural environment and household consumption: Evidence from China household finance survey," International Review of Financial Analysis, Elsevier, vol. 85(C).
    12. Gill, Balbinder Singh, 2023. "Health uninsurance premium and mortgage interest rates," International Review of Financial Analysis, Elsevier, vol. 87(C).
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