SOCIO-CULTURAL AND CONTEXTUAL DETERMINANTS OF INTERGENERATIONAL CHANGE IN FERTILITY PATTERNS: A SYSTEMATIC REVIEW
Main Article Content
Keywords
Systematic Review, Fertility Patterns, Intergenerational, Family Size, Childbearing
Abstract
The intergenerational change in fertility patterns is largely triggered by the socio-cultural and contextual determinants. The familial traits and attributes are transmitted from one generation to next generations through the parents. The mothers’ fertility behavior is significantly associated with their daughters’ fertility patterns. The objective of this systematic review is to identify the determinants of intergenerational change in fertility patterns found in the scientific literature review as potentially determining change in fertility patterns across two generations. At the searching stage, 98 research articles were identified by using key terms in alone and combination through different research database and search engines such as Google Scholar, PubMed, Elsevier, Scopus, Web of Science, Science Direct, Science Scholar, Taylor and Francis Online and Wiley Online Library. The criteria of the included studies were (i) Published articles, (ii) Published in “W” and “X” category research journals recognized by Higher Education Commission, Pakistan for the year 2022-23, (iii) Fully accessed research articles, and (iv) Research articles published in English language. At the final stage, 22 research studies were included for the systematic review. The findings of the included research studies yielded that socio-cultural determinants (education, rural-urban difference and employment status) and contextual determinants (relative age at marriage, mother’s fertility preferences, parental family size and supportive environment of family bring the intergenerational change in fertility patterns. The findings can be summed up that intergenerational change in fertility patterns is largely influenced by the parents’ fertility behavior. The Fertility characteristics and behavior of the parents at the same time shaped by their educational status, residential area, employment type, age at first marriage and environment of family.
References
2. Lim, S. (2021). Socioeconomic differentials in fertility in South Korea.
https://www.demographic-research.org/Vol144/39/DOI:10.4054/DemRes.2021.44.39.
3. Dahlbergr, J. and Kolk, M. (2018). Explaining Swedish sibling similarity in fertility: Parental fertility behavior vs. social background. https://www.demographic-research.org/Volumes/ Vol39/32/DOI:10.4054/DemRes.2018.39.32.
4. Buhr, P., Lutz, K. and Peter. T. (2018). The influence of the number of siblings on expected family size in a cohort of young adults in Germany. https://www.demographic-research.org /Volumes/Vol39/10/DOI:10.4054/DemRes.2018.39.10.
5. Goldberg, R.E. (2018). Understanding generational differences in early fertility: Proximate and social determinants. Journal of Marriage and Family; 80(5):1225-1243. Doi:10.1111/jomf.12506.
6. Morosow, K. and Trappe, H. (2018). Intergenerational transmission of fertility timing in Germany.
https://www.demographic-research.org/Volumes/Vol38/46/DOI:10.4054/DemRes.2018.38.46.
7. Yoon, S.Y. (2017). The influence of a supportive environment for families on women’s fertility intentions and behavior in South Korea. https://www.demographic-research.org/Volumes /Vol36/7/DOI:10.4054/DemRes.2017.36.7.
8. Cools, S. and Hart, R.K. (2017). The effect of childhood family size on fertility in adulthood: New evidence from IV estimation. Demography, Vol. 54, No. 1, pp. 23-44. DOI: 10.1007/s 13524-016-0537-z.
9. Erfani, A. Nojomi, M.M and Hosseini, H. (2017). Prolonged birth-intervals in Hamedan, Iran: variations and determinants. Journal of Biosocial Science (2018) 50, 457-471, Cambridge University Press, 2017. DOI: 10.1017/S0021932017000232.
10. Kim, E. (2017). Division of domestic labour and lowest-low fertility in South Korea. https://www.demographic-research.org/Volumes/Vol37/24/DOI:10.4054/DemRes.2017.37.24.
11. Testa et al. (2016). Are daughters’ childbearing intentions related to their mother’s socio-economic status?
https://www.demographic-research.org/Volumes/Vol35/21/DOI:10.4054/DemRes.2016.35.21.
12. Tanskanen, A.O. and Rotkirch. A. (2014). The impact of grandparental investment on mothers’ fertility intentions in four European countries. https://www.demographic-research.org/Volumes/ Vol31/1/DOI:10.4054/DemRes.2014.31.1.
13. Fasang, A.E. and Raab, M. (2014). Beyond Transmission: Intergenerational patterns of family formation among middle-class American families. Demography, Vol. 51, No. 5, pp. 1703-1728. DOI: 10.1007/s13524-014-0322-9.
14. Choe, M. K., Thapa, S., and Mishra, V. (2004). Early marriage and early motherhood in Nepal. Journal of Biosocial Science, 00, 1-20, Cambridge University Press. DOI: 10.1017/S00219 320030006527.
15. Zhenzhen, Z. (2000). Socio-Demographic influence on first birth interval in China, 1980-1992. Journal of Biosocial Science, 32, 315-327, Cambridge University Press.
16. Nath, D.C, Land, K.C., and Goswami, G. (1999). Effects of the status of women on the first-birth interval in Indian urban society. Journal of Biosocial Science, 31, 55-69, Cambridge University Press.
17. Axinn, W.G., Clarkberg, M.E., and Thornton, A. (1994). Family influences on family size preferences. Demography, Vol. 31, No. 1, pp. 65-79.
18. Luc et al. (1993). Selected Determinants of Fertility in Vietnam: Age at marriage, marriage to first birth interval and age at first birth. Journal of Biosocial Science, 25, 303-310, Cambridge University Press.
19. Kahn, J.R., and Anderson, K.E. (1992). Intergenerational Patterns of Teenage Fertility. Demography, Vol. 29, No. 1, pp. 39-57.
20. Aryal, R.H. (1991). Socioeconomic and cultural differentials in age at marriage and the effect on fertility in Nepal. Journal of Biosocial Science, 23, 167-178, Cambridge University Press.
21. Anderton et al. (1987). Intergenerational transmission of relative fertility and life course patterns. Demography, Vol. 24, No. 4, pp. 467-480.
22. Thapa, S. (1987). Determinants of fertility in Nepal: Applications of an aggregate model. Journal of Biosocial Science, 19, 351-365, Cambridge University Press.
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Yasir Rahim
PhD Scholar of Sociology, Government College University, Faisalabad, Pakistan
Dr. Ayesha Chaudhry
Associate Professor, Department of Sociology, Government College University, Faisalabad, Pakistan
Dr. Babak Mahmood
Professor, Department of Sociology, Government College University, Faisalabad, Pakistan
Dr. Muhammad Idrees
Assistant Professor, Department of Rural Sociology, University of Agriculture, Faisalabad, Pakistan