Woman in Development & Politics

Woman in Development & Politics

Examining the Impact of Gender Division of Labor at Home on Women’s Reproductive Behavior Using Agent-Based Simulation

Document Type : Research Paper

Authors
Nasibeh Esmaeili 1
Hajieh Bibi Razeghi Nasrabad 2
1 Assistant Professor, Department of Demography, Faculty of Social Sciences, University of Tehran, Tehran, Iran.
2 Associate Professor, Department of Demography, Faculty of Social Sciences, University of Tehran, Tehran, Iran.
10.22059/jwdp.2024.381114.1008472
Abstract
The divisio​n of gender roles within households has been identified as a critical factor influencing fertility decisions and behaviors, as evidenced by the decline in fertility rates below the replacement level. The objective of this paper is to investigate and anticipate the impact of the division of gender roles in households on the reproductive behavior of women in Tehran province using agent-based modeling (ABM) tools. Data from the 2017 Iran Fertility Transition Survey (IFTS) has been utilized for this purpose. The simulation results suggest that the Total Fertility Rate (TFR) in Tehran province will decrease to 1.06 children by 2029, with a projected precipitous decline in fertility rates over the next decade. Furthermore, the AnyLogic software was employed to implement scenarios that examined the consequences of both reducing and increasing men's involvement in domestic work division. According to these simulations, if male participation decreases by 15%, the TFR could fall to 1.03 children. Conversely, if male participation increases by 15%, the TFR could rise to 1.09 children by 2029. Based on these findings, the recommendations section underscores the necessity for family-friendly policies that prioritize cultural and social values that encourage males to participate in household responsibilities. The objective of this method is to mitigate gender inequality and establish an environment that is conducive to the growth of fertility rates.
Keywords
Agent-Based Simulation
Family Support Policies
Gender Division of Domestic Labor
Low Fertility
Subjects
Abbasi-Shavazi, M. J., & Esmaeili, N. (2020). The evolutionary path of demography from the beginning to the emergence of agent-based modeling. Journal of Population Association of Iran, 15(30), 7-40.   https://doi.org/10.22034/jpai.2021.521779.1173 (In Persian)
Abbasi-Shavazi, M. J., & Esmaeili, N. (2021). Media, Culturalization and Fertility: Identifying and Ranking Factors Affecting Fertility Using Analytical Hierarchy Process Approach. Strategic Studies of Culture, 1(1), 7-46. https://doi.org/10.22083/scsj.2021.136357 (In Persian)
Abbasi-Shavazi, M. J., & Esmaeili, N. (2022). Introduction of Agent-Based Modeling in Explaining Low Fertility. Iranian Population Studies, 7(1), 257-292. https://doi.org/10.22034/jips.2021.263638.1091 (In Persian)
Abbasi-Shavazi, M. J., & Esmaeili, N. (2022). Simulation of Women’s Fertility Behavior in Tehran Province Using Agent-Based Modeling Approach. Journal of Population Association of Iran, 17(33), 77-111.   https://doi.org/10.22034/jpai.2023.559267.1241 (In Persian)
Abbasi-Shavazi, M. J., Mahmoudian, H., Sadeghi, R., & Ghorbani, Z. (2019). The Impact of Value-Attitude Orientations on the Ideals of Childbearing in Iran. Journal of Population Association of Iran, 13(26), 37-66. (In Persian)
Abbasi-Shavazi, M. J., McDonald, P., & Hosseini-Chavoshi, M. (2009). The Fertility Transition in Iran, Revolution and Reproduction. Cham: Springer. http://dx.doi.org/10.1007/978-90-481-3198-3_5
Abbasi-Shavazi, M. J., Razeghi-Nasrabad, H. B. B., & Hosseini-Chavoshi, M. (2019). The 2017 Fertility Transition Survey in Five Selected Provinces of Iran. Unpublished report. National Institute of Population Research and National Institute of Health Research, Tehran. (In Persian)
Afshari, Z. (2015) Gender equality and fertility in Iran. Journal of Women in Development and Politics, 13(2), 245-262.   https://doi.org/10.22059/jwdp.2015.55992 (In Persian)
Askari-Nodoushan, A., & Razeghi Nasrabad, H. B. (2023). Motherhood Experience and Childbearing Challenges of Working Women: A Qualitative Study in Tehran. Strategic Research on Social Problems, 12(3), 99-122. https://doi.org/10.22108/srspi.2023.138962.1934 (In Persian)
Bijak, J. (2021). Towards Bayesian model-based demography: Agency, complexity and uncertainty in migration studies. Cham: Springer. http://dx.doi.org/10.3917/popu.2204.0698
Billari, F. C. (2015). Integrating macro- and micro-level approaches in the explanation of population change, Population Studies, 69(1), 10-30. http://dx.doi.org/10.1007/978-90-481-3198-3_5
Billari, F. C., Fent, T., Prskawetz, A., & Scheffran, J. (2006). Agent–based Computational Modelling Applications in Demography, Social, Economic and Environment sciences. Springer, Physica-Verlag HD.
Brinton, M. C., & Zhou, Y. (2019). Low Fertility in Japan: An Agent-Based Modeling Approach. Annual meeting Population Association of America, 10-13 April, Austin, America.
Dorahaki, A., & Nobakht, R. (2020), The Influence of Gender Equality within the Family on Fertility Intention of Women in Urban Areas of Bushehr Province, Woman in Development and Politics, 18(1), 151-172.     https://doi.org/10.22059/jwdp.2020.294291.1007761 (In Persian)
Esmaeili, N. (2023). Predicting the trend of changes in the number of births and the sex ratio at birth in Iran: Time series analysis. Journal of Social Problems of Iran, 14(1), 233-258. https://doi.org/10.22059/ijsp.2023.95165
Esmaeili, N. (2023). The application of artificial intelligence (AI) in Demography, The 1st International Congress on Sustainable Population & Secure Future and the 2nd Festival of Art in Midwifery,15-16 Novamber, Bojnord , Iran. (In Persian)
Esmaeili, N., & Abbasi-Shavazi, M. J. (2023). Prediction of Women’s Fertility Behavior in Tehran Province Based on Cultural Approach Applying Agent-based Modeling. Journal of Culture-Communication Studies, 24(62), 41-83. https://doi.org/10.22083/jccs.2023.362341.3654 (In Persian)
Esmaeili, N., & Abbasi-Shavazi, M. J. (2024). Forecasting number of births and sex ratio at birth in Iran using deep neural network and ARIMA: implications for policy evaluations. Journal of Population Research, 41(4), 26-47. http://dx.doi.org/10.1007/s12546-024-09348-9
Esmaeili, N., & Abbasi-Shavazi, M. J. (2024). Impact of family policies and economic situation on low fertility in Tehran, Iran: A multi-agent-based modeling. Demographic Research, 51, 107-154.        https://doi.org/10.4054/DemRes.2024.51.5
Fathi, E. (2021). A look at the past, present and future of Iran's population, Statistics Research Institute. Retrived from: https://srtc.ac.ir/en/
Fent, T., Aparicio Diaz, B., & Prskawetz, A. (2013). Family policies in the context of low fertility and social structure, Demographic Research, 29(37), 963-998. http://dx.doi.org/10.1553/0x003d08e2
Garcìa-Pereiro, T., Mencarini, L., Patimo, R., & Tanturri, M. L. (2021). Gender Roles and Fertility Intentions in Italy. International Population Conference. Hyderabad, India, 5-10 December.
Ghodrati, H., Boustani, D., Ghodrati, A., & Kalali, A. (2013). Analyze the relationship between gender equality in family and women's reproductive Case Study: Married women 20 to 40 years old in sabzevar. Journal of Arid Regions Geography Studies, 3(11), 75-91. (In Persian)
Goldscheider, F., Bernhardt, E., & Lappegard, T. (2015).The Gender Revolution: A Framework for Understanding Family and Demographic Behavior. Population and Development Review, 41(2), 183-379.        http://dx.doi.org/10.1111/j.1728-4457.2015.00045.x
Grow, A. & Van Bavel, J. (2016). Introduction: Agent-based modelling as a tool to advance evolutionary population theory. In: Van Bavel, J. and Grow, A. (eds.). Agent-based modelling in population studies: Concepts, methods, and applications (the Springer Series on Demographic Methods and Population Analysis). Cham: Springer: 3–28.  http://dx.doi.org/10.1007/978-3-319-32283-4
Hosseini, H. (2013), Introduction to Economic and Social Demography (5th Ed.). Hamedan: Bu-Ali Sina University. (In Persian)
Khalajabadi-Farahani, F. (2017). Role of gender beliefs and gender division of domestic labor in fertility preferences and intentions among men and women in Tehran. Population Studies, 3(1), 95-129. (In Persian)
Mahmoudian, H., & Esmaeili, N. (2023). Predicting the labor force participation rate in Iran using neural network based Simulations. Journal of Economic & Developmental Sociology, 12(1), 1-24.        https://doi.org/10.22034/jeds.2023.51837.1658 (In Persian)
McDonald, P. (2000). Gender equity in theories of fertility transition. Population and Development Review, 26(3), 427-439.   https://doi.org/10.1111/j.1728-4457.2000.00427.x
McDonald, P. (2013). Societal Foundations for Explaining Fertility: Gender Equity, Demographic Research, 28(15), 981–994.  http://dx.doi.org/10.4054/DemRes.2013.28.34
Mills, M., Mencarini, L., Tanturrini, M. L., & Begall, K. (2008) Gender equity and fertility intentions in Italy and the Netherlands. Demographic Research, 18(1), 1-26. https://doi.org/10.4054/DemRes.2008.18.1
Rastagar-Khaled, A. (2004), Work/family relationship: gender differences in social support, Woman in Development and Politics, 2(2), 55-75. (In Persian)
Razeghi Nasrabad, H. B. B., Hosseini Chavoshi, M., & Abbasi Shavazi, M. J. (2021). The Effects of Gender Role Attitudes and Role Division on the Second Birth Interval in Tehran. Journal of Applied Sociology, 32(2), 1-28. https://doi.org/10.22108/jas.2020.121730.1875 (In Persian)
Shams -Ghahfarokhi, M. (2015). The Impact of Gender Equaity and Equality on Fertility Behaviors in the City of Isfahan. Journal of Population Association of Iran, 10(20), 96-127.       https://dor.isc.ac/dor/20.1001.1.1735000.1394.10.20.4.3 (In Persian)
Tazi-Preve, I., Bichlbauer, D., & Goujon, A. (2004). Gender trouble and Its impact on fertility intentions. Yearbook of Population Research in Finland, 40, 5-24. https://doi.org/10.23979/fypr.44996
Torabi, F., & Esmaeili, N. (2021). Application of neural-wavelet network in predicting the incidence of marriage and divorce in Iran. China Population and Development Studies, 4(5), 439-457. https://doi.org/10.1007/s42379-020-00072-4
Torr, B. M., & Short, S. E. (2004) Second births and the second shift: a research note on gender equity and fertility. Population and Development Review, (30), 109–131. https://doi.org/10.1111/j.1728-4457.2004.00005.x
Zhou, M., & Yee Kan, M. (2019). A new family equilibrium? Changing dynamics between the gender division of labor and fertility in Great Britain, 1991–2017. Demographic Research, 40(50), 1455–1500.    https://doi.org/10.4054/DemRes.2019.40.50
Woman in Development & Politics
Volume 22, Issue 4
Autumn 2024
Pages 891-915