Climate variability and fertility preferences in Zimbabwe: Examining the impact of environmental stress on the ideal number of children
DOI:
https://doi.org/10.51867/AQSSR.3.3.31Keywords:
Climate Variability, Environmental Stress, Fertility Preferences, Ideal Number of Children, Reproductive Behavior, ZimbabweAbstract
Climate change variability is increasingly emerging as an important determinant of demographic behavior, particularly in Agrarian societies where livelihoods remain highly dependent on environmental stability. While fertility transition scholarship has traditionally emphasized socio-economic factors such as education, urbanization, and marital change, limited empirical attention has been given to how climate stress shapes fertility preferences in Sub-Saharan Africa. Guided by Risk Society Theory and Life Course Theory, this study examines the relationship between climate variability and the ideal number of children in Zimbabwe, conceptualizing fertility preferences as socially embedded and environmentally mediated decisions shaped by both structural transitions and ecological uncertainty. The study uses nationally representative georeferenced data from the 2015 Zimbabwe Demographic and Health Survey linked with high resolution datasets from WorldClim and NASA Earth observation sources. A quantitative cross-sectional design was employed, and Poisson regression was used to model the count nature of the dependent variable. The analytical sample consisted of 9910 respondents. The Findings show that Mean temperature is positively and significantly associated with ideal family size (β=0.019, p<0.001), suggesting that rising temperature may reinforce pronatalist preferences in climate vulnerable contexts. Annual precipitation showed a weak positive association (β=0.002, p<0.093), while other climatic indicators were not statistically significant. Among socio-demographic factors, higher educational attainment significantly reduced fertility preferences, with tertiary education showing strongest negative effect (β=-0.435, p<0.001). Urban residence was associated with lower ideal family size(β=-0.0122, p<0.001), while marital union, age and household composition significantly increased fertility preferences. The findings suggest that fertility preferences in Zimbabwe are shaped not only by socio-economic transitions but also environmental uncertainty. The study contributes to climate demography by demonstrating that climate change climate change is becoming increasingly embedded in reproductive decision making and highlights the need to integrate reproductive health into climate adaptation policies.
References
Agarwal, T., Goel, P. A., Gartaula, H., Rai, M., Bijarniya, D., Rahut, D. B., & Jat, M. L. (2022). Gendered impacts of climate-smart agriculture on household food security and labor migration: Insights from Bihar, India. International Journal of Climate Change Strategies and Management, 14(1), 1-19. https://doi.org/10.1108/IJCCSM-01-2020-0004
Ayadi, M. F., Onodipe, G., & Adepoju, O. E. (2025). Adolescent fertility and its impact on educational attainment in Nigeria: A propensity score matching approach. International Journal of Healthcare Management, 18(2), 318-326. https://doi.org/10.1080/20479700.2023.2295113
Ayele, E., Temesgen, D., Lemma, T., & Wordofa, M. G. (2024). Gender dimensions of determinants of adaptation strategies to climate change among smallholder farmers in Northeast Ethiopia. Global Social Welfare. https://doi.org/10.1007/s40609-024-00364-4
Ayele, T., Dedecha, D., & Duba, D. (2020). The impact of climate change on pastoralist livelihoods in Ethiopia: A review. Journal of Resources Development and Management, 63, 1-14. https://doi.org/10.7176/JRDM/63-02
Bastianelli, E. (2025). Climate change worries and fertility intentions: Insights from three EU countries. Journal of Marriage and Family, 87(2), 659-675. https://doi.org/10.1111/jomf.13048
Beck, U. (1992). Risk society: Towards a new modernity. Sage.
Bongaarts, J. (2013). The causes of educational differences in fertility in sub-Saharan Africa. Vienna Yearbook of Population Research, 11, 21-50.
Bongaarts, J. (1990). The measurement of wanted fertility. Population and Development Review, 16(3), 487-506. https://doi.org/10.2307/1972833
Bongaarts, J. (2015). Modeling the fertility impact of the proximate determinants: Time for a tune-up. Demographic Research, 33, 535-560. https://doi.org/10.4054/DemRes.2015.33.19
Caldwell, J. C. (1987). The cultural context of high fertility in Sub-Saharan Africa. Population and Development Review, 13(3), 409-437. https://doi.org/10.2307/1973133
Caldwell, J. C. (1987). The cultural context of high fertility in Sub-Saharan Africa. Population and Development Review, 13(3), 409-437. https://doi.org/10.2307/1973133
Casey, G., Shayegh, S., Moreno-Cruz, J., Bunzl, M., Galor, O., & Caldeira, K. (2019). The impact of climate change on fertility. Environmental Research Letters, 14(5), Article 054007. https://doi.org/10.1088/1748-9326/ab0843
Chandel, A., Yadav, M., & Hung, T. H. (2025). Social and economic consequences of early marriage on women's education and workforce participation. In Social, political, and health implications of early marriage (pp. 261-290). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3394-5.ch011
Chatsiwa, J. (2024). Vulnerability to climate variability of smallholder farmers in Gutu District, Zimbabwe: A pro-poor asset adaptation approach. Journal of Asian and African Studies. Advance online publication. https://doi.org/10.1177/00219096241284738
Chigavazira, T. (2019). The vulnerability of women to droughts in Mudzi District, Zimbabwe: The complexities of livelihood strategies and responses (Master's thesis, University of the Witwatersrand).
Chiweshe, M. K. (2024). Marriage in contemporary Zimbabwe: Identity, community, and change. Routledge. https://doi.org/10.4324/9781003542339
Dasgupta, P. (2022). Contraceptive use and fertility transitions: The distinctive experience of sub-Saharan Africa. Demographic Research, 46, 97-130. https://doi.org/10.4054/DemRes.2022.46.4
de Haas, B., Kabagenyi, A., & Diennabila, S. (2025). Reproductive autonomy in fertility research in Sub-Saharan Africa: A scoping review. Studies in Family Planning, 56(2), 243-273. https://doi.org/10.1111/sifp.70012
Easterlin, R. A. (1975). An economic framework for fertility analysis. Studies in Family Planning, 6(3), 54-63. https://doi.org/10.2307/1964934
Elder, G. H., Jr., Johnson, M. K., & Crosnoe, R. (2003). The emergence and development of life course theory. In J. T. Mortimer & M. J. Shanahan (Eds.), Handbook of the life course (pp. 3-19). Springer. https://doi.org/10.1007/978-0-306-48247-2_1
Food and Agriculture Organization of the United Nations. (2022). FAO's global information system on water and agriculture (AQUASTAT).
Garenne, M. (2018). Family planning and fertility decline in Africa: From 1950 to 2010. In Family planning. IntechOpen. https://doi.org/10.5772/intechopen.71029
Grace, K., & Nagle, N. N. (2015). Using high-resolution remotely sensed data to examine the relationship between agriculture and fertility in Mali. The Professional Geographer, 67(4), 641-654. https://doi.org/10.1080/00330124.2015.1032899
Grace, K., Merchant, E. K., & Nagle, N. (2025). Population and climate change: Considering climate change demography's past and future. Population and Development Review, 51(1), 361-388. https://doi.org/10.1111/padr.12722
Intergovernmental Panel on Climate Change. (2022). Climate change 2022: Impacts, adaptation and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
https://doi.org/10.1017/9781009325844
Intergovernmental Panel on Climate Change. (2024). Climate change 2023: Synthesis report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC.
Jones, L., Anderson, S., Læssøe, J., Banzhaf, E., Jensen, A., Tubadji, A., Hutchins, M., Yang, J., Taylor, T., & Wheeler, B. W. (2025). Re-thinking people and nature interactions in urban nature-based solutions. Sustainability, 17(7), Article 3043. https://doi.org/10.3390/su17073043
Kabagenyi, A., Kayemba, V., Ariho, P., Rusatira, J. C., & Rutaremwa, G. (2025). East Africa's fertility and contraceptive use: Analysis of 1950-2100 to inform the demographic dividend processes. In Advancing population and development in Uganda and beyond: Present and future considerations in honour of Dr. Jotham Musinguzi (p. 25). Fountain Publishers. https://doi.org/10.2307/jj.30297404.9
Kovačević, B., & Kovačević, I. (2017). Sociology of global risk society: Anthony Giddens and Ulrich Beck. European Defendology Center.
Evans, A., & Gray, E. (2018). Modelling variation in fertility rates using geographically weighted regression. Spatial Demography, 6(2), 121-140.
https://doi.org/10.1007/s40980-017-0037-9
Mashaah, T., Gomo, E., Maradzika, J. C., Madziyire, M. G., & January, J. (2024). Psychological, sociocultural, and coping experiences of women with infertility using traditional healthcare services in Harare urban, Zimbabwe: A qualitative study. African Journal of Reproductive Health, 28(6), 25-38. https://doi.org/10.29063/ajrh2024/v28i1.11
Matsa, M. (2020). Climate change and agriculture in Zimbabwe: Sustainability in minority farming communities. Springer. https://doi.org/10.1007/978-3-030-51346-7
Mlema, C. F. (2024). Impact of women's education on maternal health in Zimbabwe (Master's thesis, Seoul National University).
Molitoris, P. (2023). Early childbearing and child marriage: An update. Studies in Family Planning, 54(3), 503-521. https://doi.org/10.1111/sifp.12243
Mugandani, R., Wuta, M., Makarau, A., & Chipindu, B. (2012). Re-classification of agro-ecological regions of Zimbabwe in conformity with climate variability and change. African Crop Science Journal, 20(Suppl. 2), 361-369. https://doi.org/10.4314/acsj.v20i2
Mwageni, E. A., & Ankomah, A. (2001). Sex preference and contraceptive behaviour among men in Mbeya Region, Tanzania. Journal of Family Planning and Reproductive Health Care, 27(2), 85-89. https://doi.org/10.1783/147118901101195317
Ndhlovu, O. (2023). Climate change adaptation among smallholder farmers in Zambia (Master's thesis, University of Cape Town).
Ndiwa, A. M., Mburu, J., Mulwa, R., & Chumo, C. (2025). Determinants of climate change vulnerability across different agricultural enterprises in Kenya: An ordered probit analysis. Climate Services, 38, Article 100578. https://doi.org/10.1016/j.cliser.2025.100578
Nguyen, M. (2025). Education and reproductive empowerment: How schooling shapes women's contraceptive use and fertility intention in low- and middle-income countries. International Journal of Educational Development, 115, Article 103287. https://doi.org/10.1016/j.ijedudev.2025.103287
Ngwenya, C. L. (2021). An investigation into the progression of premarital fertility since the onset of Zimbabwe's fertility transition (Master's dissertation, University of Cape Town). University of Cape Town OpenUCT Repository. http://hdl.handle.net/11427/36110
Organ, J., Dixon, D., & Villa, K. (2023). Climate change, fertility and Sahelian demographics. Journal of Sustainable Development, 16(1), 1-16. https://doi.org/10.5539/jsd.v16n1p1
Penker, M., & Kirbiš, A. (2025). Education for future? Investigating the role of education in explaining active green engagement: A multilevel moderated mediation analysis. Sustainable Futures, 9, Article 100608. https://doi.org/10.1016/j.sftr.2025.100608
Richie, C. (2022). Climate change and health care education. In M. W. M. (Ed.), Applied philosophy for health professions education: A journey towards mutual understanding (pp. 233-250). Springer. https://doi.org/10.1007/978-981-19-1512-3_16
Sasson, W. (2017). Land cover change and fertility in West-Central Africa: Rural livelihoods and the vicious circle model. Population and Environment, 38(4), 345-368. https://doi.org/10.1007/s11111-017-0279-x
Sellers, S., & Gray, C. (2019). Climate shocks constrain human fertility in Indonesia. World Development, 117, 357-369. https://doi.org/10.1016/j.worlddev.2019.02.003
Sengupta, P., & Dutta, S. (2025). Eco-fertility: Examining the climate change-total fertility rate nexus in the context of sustainable development goals: A systematic review. Medical Review, 5(1), 35-43. https://doi.org/10.1515/mr-2024-0024
Sennott, C., & Yeatman, S. (2012). Stability and change in fertility preferences among young women in Malawi. International Perspectives on Sexual and Reproductive Health, 38(1), 34-42. https://doi.org/10.1363/3803412
Shah, M. I., Shuaibu, M. S., AbdulKareem, H. K., Khan, Z., & Abbas, S. (2023). Inequality consequences of natural resources, environmental vulnerability, and monetary-fiscal stability: Global evidence. Environmental Science and Pollution Research, 30(4), 10329-10345. https://doi.org/10.1007/s11356-022-22788-1
Shapiro, D., & Gebreselassie, T. (2014). Marriage in Sub-Saharan Africa: Trends, determinants, and consequences. Population Research and Policy Review, 33(2), 229-255. https://doi.org/10.1007/s11113-013-9287-4
Stone, L. (1985). Urban-rural fertility differences and their determinants in Africa. Population and Environment, 8(3-4), 187-208. https://doi.org/10.1007/BF01258420
Thomas, D., & Maluccio, J. A. (1996). Fertility, contraceptive choice, and public policy in Zimbabwe. The World Bank Economic Review, 10(1), 189-222. https://doi.org/10.1093/wber/10.1.189
Tokat, M. A., Bilgiç, D., Yağcan, H., & Demirdağ, C. (2023). A factor whose effects on fertility are overlooked: Climate change and its consequences. Reproductive BioMedicine Online, 47, Article 103551. https://doi.org/10.1016/j.rbmo.2023.103551
United Nations Population Fund. (2024). Navigating megatrends: The ICPD Programme of Action for a sustainable future: ICPD30 think piece-The ICPD and climate action. UNFPA.
Walsh, B. S., Parratt, S. R., Hoffmann, A. A., Atkinson, D., Snook, R. R., Bretman, A., & Price, T. A. R. (2019). The impact of climate change on fertility. Trends in Ecology & Evolution, 34(3), 249-259. https://doi.org/10.1016/j.tree.2018.12.002
Yang, J., & Yang, Z. (2025). The impact of intergenerational educational mobility on fertility intentions: Evidence from China. Applied Economics, 1-15. https://doi.org/10.1080/00036846.2025.2479158
Yu, Y., Nguyen-Phung, H. T., & Le, H. (2025). Women's empowerment in Zimbabwe: Examining the role of educational reform. Social Indicators Research, 177(2), 489-531. https://doi.org/10.1007/s11205-024-03515-4
Zenda, M. (2024). A systematic literature review on the impact of climate change on the livelihoods of smallholder farmers in South Africa. Heliyon, 10(18), Article e14193. https://doi.org/10.1016/j.heliyon.2024.e38162
Zewdia, W. F., Asmelash, D., & Asmelash, Y. (2024). Geo-spatial analysis of high-risk fertility behaviors and child stunting in Ethiopia. Frontiers in Public Health, 12, Article 1449689. https://doi.org/10.3389/fpubh.2024.1449689
Zhao, J., Qi, W., Cheng, Y., Hao, R., Yuan, M., Jin, H., Wang, Y., Lv, H., Wu, Y., & Hu, J. (2024). Influence of perceived stress on fertility intention among women of childbearing age without children: Multiple mediating effects of anxiety, family communication, and subjective well-being. Reproductive Health, 21(1), Article 135. https://doi.org/10.1186/s12978-024-01855-5
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