This work is licensed under the Creative Commons Attribution 4.0 International License.
Wang, S., & Song, Y. (2019). Chinese online public opinions on the two-child policy. Online Information Review, 43(3), 387-403.Search in Google Scholar
Huang, J., Qin, D., Jiang, T., Wang, Y., Feng, Z., & Zhai, J., et al. (2019). Effect of fertility policy changes on the population structure and economy of china: from the perspective of the shared socioeconomic pathways. Earth’s Future.Search in Google Scholar
Zhang, W., Liu, S., Du, J., Liu, L., Guo, X., & Xu, Z. (2022). A framework of grey prediction models on china’s population aging under the perspective of regional differences. The Journal of grey system.Search in Google Scholar
Chan, C., & So, Y. K. G. (2021). P–480 adding fuel to the flame of low fertility: fertility intention and perceived socio-political stability of young adults in hong kong. Human Reproduction (Supplement_1), Supplement_1.Search in Google Scholar
Heidi, C., & Kristin, S. (2018). Variation in wealth and educational drivers of fertility decline across 45 countries. Population Ecology, 60(1-2), 155-169.Search in Google Scholar
Chen, Yu-Che, Lee, & Jooho. (2018). Collaborative data networks for public service: governance, management, and performance. Public Management Review.Search in Google Scholar
Sanz, Maria T.Diaz Gandasegui, VicenteElizalde-San Miguel, Begona. (2019). Sense and sensibility: using a model to examine the relationship between public pre-school places and fertility. The Journal of Mathematical Sociology, 43(1a4).Search in Google Scholar
Schaler, L., Glover, L., & Wingfield, M. (2021). P–725 covid–19: fertility patients’ attitudes to pregnancy and implemented changes within fertility services during a pandemic. Human Reproduction (Supplement_1), Supplement_1.Search in Google Scholar
Brandstetter, S., Rothfu, D., Seelbach-Gbel, B., Melter, M., Kabesch, M., & Apfelbacher, C. J. (2020). Information on, knowledge and utilisation of support services during pregnancy and after childbirth: cross-sectional analyses of predictors using data from the kuno-kids health study. BMJ Open (10).Search in Google Scholar
Elizabeth, K., Darling, Karen, Marie, & Olsen, et al. (2019). Distance from home birth to emergency obstetric services and neonatal outcomes: a cohort study. Journal of Midwifery & Womens Health.Search in Google Scholar
Zhang, L., Liu, J., & Lummaa, V. (2021). Intention to have a second child, family support and actual fertility behavior in current china: an evolutionary perspective. American Journal of Human Biology (5).Search in Google Scholar
Oviedo, T. C. A., Triaca Lívia Madeira, da Costa Flávia Katrein, Franciele, H., & Massimo, C. (2017). The sociodemographic, behavioral, reproductive, and health factors associated with fertility in brazil. Plos One, 12(2), e0171888.Search in Google Scholar
Huang, W. (2022). Public service provision with a limited budget: service design, privatization and subsidies. Computers & Industrial Engineering.Search in Google Scholar
Esencan, E., Simsek, B., & Seli, E. (2020). T-217 analysis of female demographics in the united states: relationship between education, fertility, and infertility service utilization. Reproductive sciences. (suppl.1), 27.Search in Google Scholar
Peddie, V. (2021). O-051 telenursing within fertility. Human Reproduction (Supplement_1), Supplement_1.Search in Google Scholar