AccScience Publishing / HPR / Online First / DOI: 10.36922/HPR026200094
RESEARCH ARTICLE

Reproductive health in digitally transforming societies: Internet diffusion and fertility patterns across 71 nations

Tak Sang Chow1,2* Catherine So-Kum Tang1,2 Tiffany Sok U Siu2
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1 Department of Counselling and Psychology, Faculty of Social Sciences, Hong Kong Shue Yan University, Hong Kong SAR, China
2 Mrs Dorothy Koo and Dr Ti Hua Koo Centre for Interdisciplinary Evidence-based Practice and Research, Hong Kong Shue Yan University, Hong Kong SAR, China
Received: 12 May 2026 | Revised: 20 July 2026 | Accepted: 22 July 2026 | Published online: 12 August 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Background: Fertility can be conceptualized as a population-level health outcome. Globally, total fertility rates (TFRs) have persistently fallen below replacement level, signaling a profound transformation in reproductive health behaviors with far-reaching implications for population health and societal well-being. Although economic development, educational expansion, gender equality, and demographic transition are well-established drivers of fertility decline, the role of internet diffusion as a contextual, health-relevant exposure remains insufficiently examined.

Objective: Addressing this gap, the present study investigates whether national levels of internet diffusion are associated with TFRs beyond demographic, economic, and gender-related determinants.

Methods: Using three publicly available cross-national datasets, we conducted hierarchical regression analyses across 71 nations to examine the association between TFR and internet diffusion, followed by subgroup analyses stratified by development status.

Results: Internet diffusion was a significant cross-national correlate of lower TFRs after controlling for economic development, population characteristics, and gender equality indicators. Subgroup analyses revealed a significant negative association between internet diffusion and fertility rates in developing nations, whereas the internet–fertility association was positive but not statistically significant in developed nations.

Conclusion: These findings extend fertility research by identifying internet diffusion as a salient macro-level correlate of reproductive outcomes. More broadly, the study adds a digital dimension to current fertility and reproductive health research, which has typically emphasized economic, demographic, and policy determinants over digital environments. Policies and public health research aimed at promoting reproductive well-being in the digital era should explicitly consider the influence of digital environments on reproductive decision-making.

Keywords
Total fertility rate
Internet diffusion
Reproductive health and well-being
Cross-national analyses
Digital era
Funding
This research was funded by the Institutional Development Scheme Collaborative Research Grant provided by Research Grants Council, Hong Kong SAR, China (ref: UGC/IDSC15/H02/22) and the Matching Grant from the Hong Kong Shue Yan University (ref: UL/RS/2021/002).
Conflict of interest
The authors declare they have no competing interests.
References
  1. World Bank. Fertility Rate, Total (Births Per Woman). World Bank Data. Accessed April 29, 2025. https://data.worldbank.org/indicator/SP.DYN.TFRT.IN
  2. United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects 2024: Summary of Results. UN DESA/POP/2024/TR/NO. 9. Accessed April 29, 2025. https://population.un.org/wpp/assets/Files/WPP2024_Summary-of-Results.pdf
  3. Kravdal Ø. Should we be concerned about low fertility? A discussion of six possible arguments. Demogr Res. 2025;53:373-418. doi: 10.4054/DemRes.2025.53.14
  4. Lobo CSS, Falleiro S da P. A cross-national empirical analysis of the contribution of fertility, life expectancy and net migration in driving contemporary and future population ageing. Popul Econ. 2024;8(4):64-91. doi: 10.3897/popecon.8.e118982
  5. Myrskylä M, Hellstrand J, Lappo S, et al. Declining fertility, human capital investment, and economic sustainability. Max Planck Institute for Demographic Research; 2024. doi: 10.4054/MPIDR-WP-2024-002
  6. Clements B, Dybczak K, Gaspar V, Gupta S, Soto M. The fiscal consequences of shrinking and ageing populations. Ageing Int. 2018;43(4):391-414. doi: 10.1007/s12126-017-9306-6
  7. United Nations Population Fund. Japan Population 2025. United Nations Population Fund website. Accessed May 4, 2026. https://www.unfpa.org/data/world-population/JP
  8. Nakatani H. Aging and shrinking population: The looming demographic challenges of super-aged and super-low fertility society starting from Asia. Glob Health Med. 2023;5(5):257-263. doi: 10.35772/ghm.2023.01057
  9. Hashemzadeh M, Shariati M, Mohammad Nazari A, Keramat A. Childbearing intention and its associated factors: A systematic review. Nurs Open. 2021;8(5):2354-2368. doi: 10.1002/nop2.849
  10. Chen C, Xiong X, Tang G. A decomposition study on the factors influencing China's total fertility rate changes between 1990 and 2020. Sci Rep. 2024;14(1):28176. doi: 10.1038/s41598-024-79999-4
  11. Kim E, Yi JS. Determinants of fertility intentions among South Koreans: Systematic review and meta-analysis. Behav Sci. 2024;14(10):939. doi: 10.3390/bs14100939
  12. Zhang J, Zhang J. The effect of life expectancy on fertility, saving, schooling and economic growth: Theory and evidence. Scand J Econ. 2005;107(1):45-66. doi: 10.1111/j.1467-9442.2005.00394.x
  13. Ní Bhrolcháin M, Beaujouan É. Fertility postponement is largely due to rising educational enrolment. Popul Stud. 2012;66(3):311-327. doi: 10.1080/00324728.2012.697569
  14. Lacalle-Calderon M, Perez-Trujillo M, Neira I. Fertility and economic development: Quantile regression evidence on the inverse J-shaped pattern. Eur J Popul. 2017;33(1):1-31. doi: 10.1007/s10680-016-9382-4
  15. Chipman A, Morrison E. The impact of sex ratio and economic status on local birth rates. Biol Lett. 2013;9(2):20130027. doi: 10.1098/rsbl.2013.0027
  16. Behrman J, Gonalons-Pons P. Women's employment and fertility in a global perspective (1960–2015). Demogr Res. 2020;43:707-744. doi: 10.4054/DemRes.2020.43.25
  17. Upadhyay UD, Gipson JD, Withers M, et al. Women's empowerment and fertility: A review of the literature. Soc Sci Med. 2014;115:111-120. doi: 10.1016/j.socscimed.2014.06.014
  18. Chinn MD, Fairlie RW. ICT Use in the developing world: An analysis of differences in computer and internet penetration. Rev Int Econ. 2010;18(1):153-167. doi: 10.1111/j.1467-9396.2009.00861.x
  19. International Telecommunication Union. Facts and Figures 2024 - Internet use. 2024. International Telecommunication Union website. Accessed February 24, 2026. https://www.itu.int/itu-d/reports/statistics/2024/11/10/ff24-internet-use/
  20. Harzif AK, Shadrina A, Yo EC, Reviani N, Hestiantoro A. Influence of internet, mobile phone use, and sociodemographic factors on women's knowledge and attitude towards contraception in Indonesia. Obstet Gynecol Sci. 2023;66(1):42-48. doi: 10.5468/ogs.22277
  21. Toffolutti V, Ma H, Menichelli G, Berlot E, Mencarini L, Aassve A. How the internet increases modern contraception uptake: Evidence from eight sub-Saharan African countries. BMJ Glob Health. 2020;5(11):e002616. doi: 10.1136/bmjgh-2020-002616
  22. Nkoumou Ngoa GB, Song JS. Female participation in African labor markets: The role of information and communication technologies. Telecomm Policy. 2021;45(9):102174. doi: 10.1016/j.telpol.2021.102174
  23. Sofa WA, Eschachasthi R. Digital adoption and women in the labor market: Indonesia's case. JDE. 2024;9(1):65-83. doi: 10.20473/jde.v9i1.39475
  24. Viollaz M, Winkler H. Does the internet reduce gender gaps? The case of Jordan. J Dev Stud. 2022;58(3):436-453. doi: 10.1080/00220388.2021.1965127
  25. Nie NH, Hillygus DS. The impact of Internet use on sociability: Time-diary findings. IT & Society. 2002;1(1):1-20.
  26. Qiu L, Feng Y, Shi Y, Sun B. Will internet use affect fertility desire? Popul Res. 2022;46(3):3-15. Accessed July 30, 2024. https://rkyj.ruc.edu.cn/EN/Y2022/V46/I3/3
  27. Zhao J, Zou Z, Chen J, et al. Offline social capital, online social capital, and fertility intentions: Evidence from China. Humanit Soc Sci Commun. 2024;11(1):1131. doi: 10.1057/s41599-024-03643-9
  28. Billari F, Giuntella O, Stella L. Does broadband Internet affect fertility? Popul Stud. 2019;73(3):297-316. doi: 10.1080/00324728.2019.1584327
  29. Liu P, Cao J, Nie W, Wang X, Tian Y, Ma C. The influence of internet usage frequency on women's fertility intentions—the mediating effects of gender role attitudes. Int J Environ Res Public Health. 2021;18(9):4784. doi: 10.3390/ijerph18094784
  30. Nie P, Peng X, Luo T. Internet use and fertility behavior among reproductive-age women in China. China Economic Review. 2023;77:101903. doi: 10.1016/j.chieco.2022.101903
  31. Hosan S, Karmaker SC, Rahman MM, Chapman AJ, Saha BB. Dynamic links among the demographic dividend, digitalization, energy intensity and sustainable economic growth: Empirical evidence from emerging economies. J Clean Prod. 2022;330:129858. doi: 10.1016/j.jclepro.2021.129858
  32. Bird N, Hanedar E. Expanding and improving social safety nets through digitalization: Conceptual framework and review of country experiences. IMF Notes. 2023;(007):1-25. Accessed May 7, 2026. https://www.imf.org/en/publications/imf-notes/issues/2023/12/07/expanding-and-improving-social-safety-nets-through-digitalization-conceptual-framework-and-541091
  33. Jamil ARMd, Law SH, Mohamad Khair-Afham MS, Trinugroho I. Financial inclusion and economic uncertainty in developing countries: The role of digitalisation. Econ Anal Policy. 2023;79:786-806. doi: 10.1016/j.eap.2023.06.039
  34. United Nations Department of Economic and Social Affairs Population Division. World Population Prospects 2022. UN Population Division Data Portal. 2022. Accessed April 29, 2025. https://population.un.org/wpp/dataportal
  35. World Bank. World Development Indicator. Accessed April 29, 2025. https://data.worldbank.org/indicator/
  36. United Nations Development Programme. Human Development Report 2023-24. UNDP Data Center. 2024. Accessed April 29, 2025. https://hdr.undp.org/data-center
  37. United Nations Development Programme. Human Development Report 2025: Technical notes. 2025. Accessed January 30, 2026. https://hdr.undp.org/sites/default/files/2025_HDR/HDR25_Technical_Notes.pdf
  38. United Nations Development Programme. Human Development Index (HDI). UNDP Data Center. 2025. Accessed May 20, 2025. https://hdr.undp.org/data-center/human-development-index#/indicies/HDI
  39. Kim JH. Multicollinearity and misleading statistical results. Korean J Anesthesiol. 2019;72(6):558-569. doi: 10.4097/kja.19087
  40. Guldi M, Herbst CM. Offline effects of online connecting: The impact of broadband diffusion on teen fertility decisions. J Popul Econ. 2017;30(1):69-91. doi: 10.1007/s00148-016-0605-0
  41. Wang D, Sun Z, Yang R, Yang Q. Exploring the effects of ICT on urbanization in China: Evidence from a provincial spatial panel data model. Humanit Soc Sci Commun. 2025;12(1):1403. doi: 10.1057/s41599-025-05693-z
  42. Hjort J, Tian L. The economic impact of internet connectivity in developing countries. Annu Rev Econom. 2025;17(1):99-124. doi: 10.1146/annurev-economics-081224-102352
  43. Vasireddy S, Berrington A, Kuang B, Kulu H. Education and fertility: A review of recent research in Europe. Com Popul Stud. 2023;48. doi: 10.12765/CPoS-2023-21
  44. Mishra V, Smyth R. Female labor force participation and total fertility rates in the OECD: New evidence from panel cointegration and Granger causality testing. J Econ Bus. 2010;62(1):48-64. doi: 10.1016/j.jeconbus.2009.07.006
  45. Nitsche N, Hayford SR. Preferences, partners, and parenthood: Linking early fertility desires, marriage timing, and achieved fertility. Demography. 2020;57(6):1975-2001. doi: 10.1007/s13524-020-00927-y
  46. Baizan P, Arpino B, Delclòs CE. The effect of gender policies on fertility: The moderating role of education and normative context. Eur J of Popul. 2016;32(1):1-30. doi: 10.1007/s10680-015-9356-y
  47. Atif M, Ayub G, Zeb J, et al. Variability in reproductive choices: A comprehensive analysis of women's working status and fertility behavior in Pakistan. INQUIRY-J Health Car. 2024;61:1-14. doi: 10.1177/00469580241237106
  48. Olivetti C, Petrongolo B. The economic consequences of family policies: Lessons from a century of legislation in high-income countries. J Econ Perspect. 2017;31(1):205-230. doi: 10.1257/jep.31.1.205
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