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How Do House Prices and Financial Expenditure Affect Birth Rate? New Evidence from the Dynamic Threshold Panel Model

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  • Lifang Yan

    (School of Business, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Wenzhong Ye

    (School of Business, Hunan University of Science and Technology, Xiangtan 411201, China)

Abstract

Owing to low birth rate, the demographic dividend in China is disappearing. It is thus of great significance to study the regional differences and influencing factors of the birth rate, further proposing political advices on how to raise birth rate. In this study, 31 administrative units in China were chosen as the regional targets, and the nonlinear effects of house prices and financial expenditure on birth rate were extensively investigated by using a dynamic panel threshold model. A dynamic panel threshold model with disposable income as threshold variable, house price as independent variable, financial expenditure that concluding education funds and social security as variables influenced by threshold variable was established, which can effectively handle regional heterogeneity and endogeneity problems. The results show that the effect of financial expenditure on birth rate is complex, exhibiting a “S” shape for education funds and an inverted “U” shape for social security. Previous controversial conclusions on the impact of financial expenditure on birth rate in the literature can thereby be reasonably explained. It shows that birth rate is influenced by the lagged birth rate and house prices have negative effects on birth rate. The rationality of the present results has been verified by using consumption and input-output economic theories. Based on the empirical investigation, specific suggestions have been proposed in order to acquire sustainable development of population.

Suggested Citation

  • Lifang Yan & Wenzhong Ye, 2023. "How Do House Prices and Financial Expenditure Affect Birth Rate? New Evidence from the Dynamic Threshold Panel Model," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3093-:d:1061804
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    1. Pecchenino, Rowena A. & Pollard, Patricia S., 2002. "Dependent children and aged parents: funding education and social security in an aging economy," Journal of Macroeconomics, Elsevier, vol. 24(2), pages 145-169, June.
    2. Dettling, Lisa J. & Kearney, Melissa S., 2014. "House prices and birth rates: The impact of the real estate market on the decision to have a baby," Journal of Public Economics, Elsevier, vol. 110(C), pages 82-100.
    3. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    4. T. Paul Schultz, 2001. "The Fertility Transition: Economic Explanations," Working Papers 833, Economic Growth Center, Yale University.
    5. Iacoviello, Matteo & Minetti, Raoul, 2008. "The credit channel of monetary policy: Evidence from the housing market," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 69-96, March.
    6. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    7. Melissa S. Kearney & Phillip B. Levine, 2009. "Subsidized Contraception, Fertility, and Sexual Behavior," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 137-151, February.
    8. Kearney, Melissa S. & Levine, Phillip B., 2015. "Investigating recent trends in the U.S. teen birth rate," Journal of Health Economics, Elsevier, vol. 41(C), pages 15-29.
    9. Clara H. Mulder & Michael Wagner, 2001. "The Connections between Family Formation and First-time Home Ownership in the Context of West Germany and the Netherlands," European Journal of Population, Springer;European Association for Population Studies, vol. 17(2), pages 137-164, June.
    10. Simon, Curtis J. & Tamura, Robert, 2009. "Do higher rents discourage fertility? Evidence from U.S. cities, 1940-2000," Regional Science and Urban Economics, Elsevier, vol. 39(1), pages 33-42, January.
    11. Girma, Sourafel & Paton, David, 2011. "The impact of emergency birth control on teen pregnancy and STIs," Journal of Health Economics, Elsevier, vol. 30(2), pages 373-380, March.
    12. Jeff Grogger & Stephen G. Bronars, 2001. "The Effect of Welfare Payments on the Marriage and Fertility Behavior of Unwed Mothers: Results from a Twins Experiment," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 529-545, June.
    13. Myung Hwan Seo & Sueyoul Kim & Young-Joo Kim, 2019. "Estimation of dynamic panel threshold model using Stata," Stata Journal, StataCorp LP, vol. 19(3), pages 685-697, September.
    14. Ermisch, John, 1988. "Economic Influences On Birth Rates," National Institute Economic Review, National Institute of Economic and Social Research, vol. 126, pages 71-92, November.
    15. William A. V. Clark & Daichun Yi & Xin Zhang, 2020. "Do House Prices Affect Fertility Behavior in China? An Empirical Examination," International Regional Science Review, , vol. 43(5), pages 423-449, September.
    16. Ermisch, John, 1988. "Economic Influences On Birth Rates," National Institute Economic Review, National Institute of Economic and Social Research, vol. 126, pages 71-92, November.
    17. Tatsuya Omori, 2009. "Effects of public education and social security on fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(3), pages 585-601, July.
    18. Oechsli, Frank Wm & Kirk, Dudley, 1975. "Modernization and the Demographic Transition in Latin America and the Caribbean," Economic Development and Cultural Change, University of Chicago Press, vol. 23(3), pages 391-419, April.
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