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The Intergenerational Effect and Second Childbirth: Survey Findings from the Shaanxi Province of China

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Abstract

Traditionally, the fertility behaviors of Chinese people have been deeply influenced by the entrenched patriarchal, patrilineal, and patrilocal systems. Women’s fertility decisions and behaviors are significantly influenced by their parents and parents-in-law. Given the current social changes with low fertility levels and intentions in China, it is still unclear about the actual link between the fertility behavior and the intergenerational effect. Therefore, we utilize data from 1577 questionnaires, conducted in 2013 in the Shaanxi Province of northwest China about fertility intentions and behaviors, and use the event history analysis method and the Cox proportional hazard model to explore the association between intergenerational effects and women’s second childbirths. “The number of the parental generation’s children” and “the living arrangements of the parental generation” are employed to measure the intergenerational effect. The findings show that there is an existence of intergenerational transmission of fertility between women of childbearing age and their parents-in-law, rather than their biological parents when considering the effects of their parents-in-law. In addition, the study finds a significant correlation between women’s second childbirth and the living arrangements of their parents-in-law, but no significant association with the living arrangements of their biological parents. These results support that the patriarchal, patrilineal, and patrilocal systems play a role in women’s fertility behaviors in contemporary China.

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Notes

  1. According to Bongaarts and Feeney (2010), a TFR tempo effect, is the difference between the observed TFR for a given year and the value that would have been observed if the period mean age at childbearing had remained constant at the value observed at the beginning of the year.

References

  • Anderton, D. L., Tsuya, N. O., Bean, L. L., & Mineau, G. P. (1987). Intergenerational transmission of relative fertility and life course patterns. Demography, 24(4), 467–480.

    Article  Google Scholar 

  • Axinn, W. G., Clarkberg, M. E., & Thornton, A. (1994). Family influences of family size preference. Demography, 31(1), 65–79.

    Article  Google Scholar 

  • Barber, J. S. (2001). The intergenerational transmission of age at first birth among married and unmarried men and women. Social Science Research, 30(2), 219–247.

    Article  Google Scholar 

  • Basten, S., & Jiang, Q. (2014). China’s family planning policies: Recent reforms and future prospects. Studies in Family Planning, 45(4), 493–509.

    Article  Google Scholar 

  • Baydar, N., & Brooks-Gunn, J. (1998). Profiles of grandmothers who care for their grandchildren in the United States. Family Relations, 47(4), 385–393.

    Article  Google Scholar 

  • Bernardi, L. (2003). Channels of social influences on reproduction. Population Research and Policy Review, 22(5–6), 527–555.

    Google Scholar 

  • Blossfeld, H. P., Golsch, K., & Rohwer, G. (2007). Event history analysis with stata. Mahwah, NJ: Lawrence Erlbaum Associates Inc.

    Google Scholar 

  • Bongaarts, J., & Feeney, G. (2010). When is a tempo effect a tempo distortion? Genus, 66(2), 1–15.

    Google Scholar 

  • Bongaarts, J., & Watkins, S. (1996). Social interactions and contemporary fertility transitions. Population and Development Review, 22(4), 639–682.

    Article  Google Scholar 

  • Booth, A. L., & Kee, H. J. (2009). Intergenerational transmission of fertility patterns. Oxford Bulletin of Economics and Statistics, 71(2), 183–208.

    Article  Google Scholar 

  • Cai, Y. (2013). China’s new demographic reality-learning from the 2010 census. Population and Development Review, 39(3), 371–396.

    Article  Google Scholar 

  • Caldwell, J. C. (1976). Toward a restatement of demographic transition theory. Population and Development Review, 2(3/4), 321–366.

    Article  Google Scholar 

  • Chen, F. (2005). Residential patterns of parents and their married children in contemporary China: A life course approach. Population Research and Policy Review, 24(2), 125–148.

    Article  Google Scholar 

  • Chen, F., Ji, Y., Cai, Y., & Zheng, Z. (2014). Intergenerational ties and fertility preference in a low fertility context. In F. Wang, X. Peng, & B. Gu (Eds.), Globalization and low fertility: China’s choice. Shanghai: Fudan University Press. (in Chinese).

    Google Scholar 

  • Chi, P., & Hsin, P. (1996). Family structure and fertility behavior in Taiwan. Population Research and Policy Review, 15(4), 327–339.

    Article  Google Scholar 

  • Choe, M. K., Bumpass, L. L., & Tsuya, N. O. (2004). Employment. In N. O. Tsuya & L. L. Bumpass (Eds.), Marriage, work, and family life in comparative perspective: Japan, South Korea, and the United States. Honolulu, HI: East-West Center.

    Google Scholar 

  • Cox, D. R. (1972). Regression models and life tables. Journal of the Royal Statistical Society, 34(2), 187–220.

    Google Scholar 

  • Das Gupta, M. (1999). Lifeboat versus corporate ethic: Social and demographic implications of stem and joint families. Social Science and Medicine, 49(2), 173–184.

    Article  Google Scholar 

  • Duncan, O. D., Freedman, R., Coble, J. M., & Slesinger, D. P. (1965). Marital fertility and size of family of orientation. Demography, 2(1), 508–515.

    Article  Google Scholar 

  • Easterlin, R. A. (1980). Birth and fortune: The impact of numbers on personal welfare. New York: Basic Books.

    Google Scholar 

  • Gu, B., Wang, F., Guo, Z., & Zhang, E. (2007). China’s local and national fertility policies at the end of the twentieth century. Population and Development Review, 33(1), 129–147.

    Article  Google Scholar 

  • Ha, J. T. (2014). Intergenerational ties, one-child policy, and fertility in China: Evidence from the 1982 and 1990 Census. In Paper presented at the 2015 PAA meetings. http://paa2015.princeton.edu/uploads/151378. Accessed on January 20, 2015.

  • Jiang, Q., Li, S., & Feldman, M. W. (2011). Demographic consequences of gender discrimination in China: Simulation analysis of policy options. Population Research and Policy Review, 30(4), 619–638.

    Article  Google Scholar 

  • Jiang, Q., Li, Y., & Sánchez-Barricarte, J. J. (2016). Fertility intention, son preference and second childbirth—Survey findings from Shaanxi Province of China. Social Indicators Research, 125(3), 935–953.

    Article  Google Scholar 

  • Kaptijn, R., Thomese, F., Van Tilburg, T., & Liefbroer, R. (2010). How grandparents matter: Support for the cooperative breeding hypothesis in a contemporary Dutch population. Human Nature, 21(4), 393–405.

    Article  Google Scholar 

  • Kohler, H. P. (2001). Fertility and social interaction: An economic perspective. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Kolk, M. (2014). Understanding transmission of fertility across multiple generations–Socialization or socioeconomics? Research in Social Stratification and Mobility, 35, 89–103.

    Article  Google Scholar 

  • Kotte, M., & Ludwig, V. (2011). Intergenerational transmission of fertility intentions and behaviour in Germany: The role of contagion. Vienna Yearbook of Population Research, 9, 207–226.

    Article  Google Scholar 

  • Lyngstad, T. H., & Prskawetz, A. (2010). Do siblings’ fertility decisions influence each other? Demography, 47(4), 923–934.

    Article  Google Scholar 

  • Mao, Z., & Luo, H. (2013). Difference between fertility intention and fertility behavior for women subject to the two-child policy: An empirical study based on the theory of planned behavior. Population Research, 37(1), 84–93. (in Chinese).

    Google Scholar 

  • Montgomery, M. R., & Casterline, J. B. (1996). Social learning, social influence and new models of fertility. Population and Development Review, 22(Supplement), 151–175.

    Article  Google Scholar 

  • Morgan, S. P., Guo, Z., & Hayford, S. R. (2009). China’s below-replacement fertility: Recent trends and future prospects. Population and Development Review, 35(3), 605–629.

    Article  Google Scholar 

  • Murphy, M. (2012). Intergenerational fertility correlations in contemporary developing counties. American Journal of Human Biology, 24(5), 696–704.

    Article  Google Scholar 

  • Murphy, M. (2013). The intergenerational transmission of reproductive behavior: Comparative perspectives. The History of the Family, 18(2), 107–115.

    Article  Google Scholar 

  • Murphy, M., & Knudsen, L. B. (2002). The intergenerational transmission of fertility in contemporary Denmark: The effects of number of siblings (full and half), birth order, and whether male or female. Population Studies, 56(3), 235–248.

    Article  Google Scholar 

  • Murphy, M., & Wang, D. (2001). Family-level continuities in childbearing in low-fertility societies. European Journal of Population, 17(1), 75–96.

    Article  Google Scholar 

  • Nie, Y., & Wyman, R. J. (2005). The One-Child policy in Shanghai: Acceptance and internalization. Population and Development Review, 31(2), 313–336.

    Article  Google Scholar 

  • Pluzhnikov, A., Nolan, D. K., Tan, Z., McPeek, M. S., & Ober, C. (2007). Correlation of intergenerational family sizes suggests a genetic component of reproductive fitness. The American Journal of Human Genetics, 81(1), 165–169.

    Article  Google Scholar 

  • Sear, R., & Coall, D. (2011). How much does family matter? Cooperative breeding and the demographic transition. Population and Development Review, 37(Supplement), 81–112.

    Article  Google Scholar 

  • Thornton, A. (1980). The influence of first generation fertility and economic status on second generation fertility. Population and Environment, 3(1), 51–72.

    Article  Google Scholar 

  • Tian, F. F., Kane, D. & Liang, K. (2014). Son preference or son pressure? Narratives of fertility decisions from Chinese female migrants. In Paper presented at the 2014 PAA meetings. http://paa2014.princeton.edu/papers/142360. Accessed on April 20, 2015.

  • Vandell, D. L., McCartney, K., Owen, M. T., Booth, C., & Clarke-Stewart, A. (2003). Variations in child care by grandparents during the first three years. Journal of Marriage and Family, 65(2), 375–381.

    Article  Google Scholar 

  • Walby, S. (1989). Theorising patriarchy. Sociology, 23(2), 213–234.

    Article  Google Scholar 

  • Wang, L. (2016). The trend of low fertility is hard to change and the negative population growth rate may arrive in advance. China Business Network (online version), 1 February 2016. http://www.yicai.com/news/4746821.html. Accessed on May 16, 2016.

  • Waynforth, D. (2011). Grandparental investment and reproductive decisions in the longitudinal 1970 British cohort study. Proceedings of the Royal Society B: Biological Sciences, 279, 1155–1160.

    Article  Google Scholar 

  • Weinstein, M., Sun, T., Chang, M., & Freedman, R. (1990). Household composition, extended kinship, and reproduction in Taiwan: 1965–1985. Population Studies, 44(2), 217–239.

    Article  Google Scholar 

  • Ye, W. (2002). Analyzing the institutional influences of the traditional family pattern on the traditional fertility culture. Population Journal, 22(4), 25–31. (in Chinese).

    Google Scholar 

  • Zhang, L. (2012). Living arrangements and living willingness of the aged population. Population Journal, 6, 25–33. (in Chinese).

    Google Scholar 

  • Zhao, Z. (2015). Closing a sociodemographic chapter of Chinese history. Population and Development Review, 41(4), 681–686.

    Article  Google Scholar 

  • Zheng, Z. (2013). The choice of having a second child and its implication for future family structure in China. In A. Rotkirch & A. Buchanan (Eds.), Fertility rates and population decline: No time for children?. New York: Palgrave Macmillan.

    Google Scholar 

  • Zheng, Z. (2014). Intergenerational effects on fertility and intended family size: Implications for future fertility change in China. In F. Cai (Ed.), Chinese research perspectives on population and labor. Leiden: Koninklijke Brill NV.

    Google Scholar 

  • Zheng, Z., Cai, Y., Wang, F., & Gu, B. (2009). Below replacement fertility and childbearing intention in Jiangsu Province, China. Asian Population Studies, 5(3), 329–347.

    Article  Google Scholar 

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Correspondence to Quanbao Jiang.

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Li, Y., Jiang, Q. The Intergenerational Effect and Second Childbirth: Survey Findings from the Shaanxi Province of China. Soc Indic Res 133, 669–691 (2017). https://doi.org/10.1007/s11205-016-1386-2

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