Where Did the Children go: The Configurational Effects of Changes in the Proportion of Urban Children in China

Authors

  • Sijun Wang
  • Xueyi Wang
  • Cheng Qin

DOI:

https://doi.org/10.6918/IJOSSER.202602_9(2).0020

Keywords:

Multi-factor, Children, Population Proportion, Interaction Effect, fsQCA

Abstract

The gradual decline in the proportion of children represents an urgent scientific issue that demands effective solutions. Grounded in the "economy-population-environment" configurational framework, this study examines China's prefecture-level cities to investigate the drivers of this demographic shift. Employing a temporal multi-stage configurational approach at ten-year intervals, we analyze how economic, demographic, and environmental factors have influenced the child population share from 2000 to 2020. Using the child proportion as the outcome variable and selecting conditional variables across economic development, educational resources, infrastructure, fertility potential, social interaction, and air pollution, this research identifies six distinct configurational paths. The findings are threefold: First, in the economic dimension, persistently lagging economic development and a shortage of educational resources were consistently associated with a high proportion of children. Conversely, the role of infrastructure shifted from a deficiency to a key driving factor by 2020. Second, in the population dimension, social interaction consistently served as a promoting factor, while the influence of the proportion of women of childbearing age transitioned from low to high, indicating the gradual manifestation of fertility policies and enhanced social support. Third, in the environmental dimension, the impact of air pollution evolved from a marginal effect in the early stages to a significant inhibitory factor after 2010. This paper reveals the complex multi-factor interaction mechanisms and path-dependent characteristics underlying the proportion of children, thereby providing theoretical and empirical support for formulating differentiated and systematic population policies.

Downloads

Download data is not yet available.

References

[1] Aassve, A., Le Moglie, M., & Mencarini, L. (2021). Trust and fertility in uncertain times. Population Studies, 75(1), 19–36. https://doi.org/10.1080/00324728.2020.1742927

[2] Adda, J., Dustmann, C., & Stevens, K. (2017). The career costs of children. Journal of Political Economy, 125(2), 293–337.

[3] Alex O. Acheampong, Janet Dzator, Michael Dzator, et al. (2022). Unveiling the effect of transport infrastructure and technological innovation on economic growth, energy consumption and CO2 emissions. Technological Forecasting and Social Change, 182, 121843. https://doi.org/10.1016/j.techfore.2022.121843

[4] Becker, G. (1960). An economic analysis of fertility. In Demographic and economic change in developed countries (pp. 209–231). Princeton University Press.

[5] Bono, E. D., Weber, A., & Winter-Ebmer, R. (2015). Fertility and economic instability: the role of unemployment and job displacement. Journal of Population Economics, 28(2), 463–478.

[6] Brauner-Otto, S. R., & Axinn, W. G. (2017). Natural resource collection and desired family size: a longitudinal test of environment-population theories. Population and Environment, 38(4), 381–406. https://doi.org/10.1007/s11111-016-0267-6

[7] Cheng, H., Luo, W., Si, S., Xin, X., Peng, Z., Zhou, H., & Yu, Y. (2022). Global trends in total fertility rate and its relation to national wealth, life expectancy and female education. BMC Public Health, 22(1), 1346.

[8] Chu, N., Zhang, P., & Wu, X. (2022). Spatiotemporal evolution characteristics of urbanization and its coupling coordination degree in Russia - perspectives from the population, economy, society, and eco-environment. Environmental Science and Pollution Research, 29(40), 61334–61351. https://doi.org/10.1007/s11356-022-20215-z

[9] Cooper, B., & Glaesser, J. (2016). Qualitative comparative analysis, necessary conditions, and limited diversity: Some problematic consequences of Schneider and Wagemann's enhanced standard analysis. Field Methods, 28(3), 300–315. https://doi.org/10.1177/1525822X15598974

[10] Ding, H. (2022). What kinds of countries have better innovation performance?—A country-level fsQCA and NCA study. Journal of Innovation & Knowledge, 7(4), 100215. https://doi.org/10.1016/j.jik.2022.100215

[11] Dong, Y., Yang, T., Gao, D., et al. (2024). A review of fertility motivation measurement research. Population and Development, 30(6), 41–50.

[12] Du, Y., & Jia, L. (2017). Configuration perspective and qualitative comparative analysis (QCA): A new path for management research. Management World, (6), 155–167.

[13] Du, Y., Liu, Q., & Cheng, J. (2020). What kind of business environment ecosystem generates high urban entrepreneurial activity?—Based on institutional configuration analysis. Management World, 36(9), 141–155. https://doi.org/10.19744/j.cnki.11-1235/f.2020.0143

[14] Du, Y., Liu, Q., Chen, K., et al. (2022). Business environment ecology, total factor productivity, and multiple models of high-quality urban development—Configuration analysis based on a complex system perspective. Management World, 38(9), 127–145. https://doi.org/10.19744/j.cnki.11-1235/f.2022.0123

[15] Dyson, T., Cassen, R., & Visaria, L. (2005). Twenty-first-century India: Population, economy, human development, and the environment. Foreign Affairs, 84(1), 196. https://doi.org/10.2307/20034259

[16] Fauser, B. C. J. M., Adamson, G. D., Boivin, J., Chambers, G. M., de Geyter, C., Dyer, S., & Board, A. t. C. R. (2024). Declining global fertility rates and the implications for family planning and family building: an IFFS consensus document based on a narrative review of the literature. Human Reproduction Update, 30(2), 153–173.

[17] Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420.

[18] Gerland, P., Raftery, A. E., Ševčíková, H., et al. (2014). World population stabilization unlikely this century. Science, 346(6206), 234–237. https://doi.org/10.1126/science.1257469

[19] Hathi, P., Haque, S., Pant, L., et al. (2017). Place and child health: The interaction of population density and sanitation in developing countries. Demography, 54(1), 337–360. https://doi.org/10.1007/s13524-016-0538-y

[20] Kountouris, Y. (2020). Higher education and fertility: Evidence from reforms in Greece. Economics of Education Review, 79, 102059.

[21] Luci-Greulich, A., & Thévenon, O. (2013). The impact of family policies on fertility trends in developed countries. European Journal of Population, 29(4), 387–416.

[22] Qu, X., Qin, X., & Wang, X. (2023). Construction of frugal innovation path in the context of digital transformation: A study based on NCA and QCA. Sustainability, 15(3), 2158. https://doi.org/10.3390/su15032158

[23] Ragin, C. C. (2019). Redesigning social science research: Fuzzy sets and beyond. China Machine Press.

[24] Sato, R. (2008). Japan's "super-low fertility": Its causes and policy responses. Journal of Population Problems, (6), 10–24.

[25] Wang, W., Liu, F., & Hu, C. (2019). Fertility policy, optimization of population age structure, and economic growth. Economic Research, 54(1), 116–131.

[26] Xue, L., Zhen, H., & Wang, J. (2023). Economic development level, fertility policy, and fertility rate. Statistics and Decision, 39(15), 79–84. https://doi.org/10.13546/j.cnki.tjyjc.2023.15.014

[27] Yamada, M. (2020). Why did Japan's countermeasures against low birthrate fail? The real reasons why marriage and childbirth are avoided. Kobunsha.

[28] Yang, F., Guo, P., & Liu, J. (2024). The situation, influencing factors, and policy responses to non-marriage, infertility, and low fertility in China—Analysis of the main data from a special survey on non-marriage, infertility, and low fertility groups in China. Population Research, 48(2), 30–43.

[29] Yang, L., Liu, Z., & Yao, T. (2024). Research progress on the intergenerational transmission of fertility intentions. Economic Perspectives, (8), 145–160.

[30] Zhang, J., Wei, L., Deng, X., et al. (2022). Current status and reflections on fertility preservation in China. Journal of Assisted Reproduction and Genetics, 39(12), 2835–2845. https://doi.org/10.1007/s10815-022-02648-0

Downloads

Published

2026-02-11

Issue

Section

Articles

How to Cite

Wang, S., Wang, X., & Qin, C. (2026). Where Did the Children go: The Configurational Effects of Changes in the Proportion of Urban Children in China. International Journal of Social Science and Education Research, 9(2), 134-147. https://doi.org/10.6918/IJOSSER.202602_9(2).0020