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Home > Vol 38, No 4 (2020) > Li

Comparison of Socioeconomic Characteristics between Childless and Procreative Couples after Implementation of the Two-Child Policy in Inner Mongolia, China

Xinhua Li, Yancun Fan, Sawitri Assanangkornchai, Edward Braddon McNeil

Abstract

Objective: In the context of China’s “two-child” policy, this study aims to compare socio-demographic characteristics and attitudes towards the desired number of children among couples of different family size. We describe the major reasons for and against couples raising a (further) child based on the theory of planned behavior.
Material and Methods: An interview-based survey was conducted in Inner Mongolia among couples visiting marital registration offices, antenatal care clinics, kindergartens, and primary schools. Using prevalence ratios and 95% confidence intervals estimated from multivariate log-binomial regression models, socio-demographic characteristics and attitudes towards the two-child policy were compared between three types of couples: those without children, those with one child, and those with multiple children.
Results: The sample consisted of 2,013 women aged 20-49 years and their partners. The top difficulty in raising a child was “increased economic burden”. Factors significantly associated with a reduced prevalence of raising children included the woman’s marital age and the couple’s educational achievement, employment status, and monthly income. Factors associated with an increased prevalence of raising children included a lack of inter-couple communication, having a perception of the strong influence of the two-child policy, and Han ethnicity.
Conclusion: Significant socio-demographic differences were seen between couples with and without children in China. Childless couples were more affluent than single- or multi-child couples and they perceived the two-child policy to be less influential on their decision to raise children.

 Keywords

Couples; socioeconomic characteristics; theory of planned behavior; two-child policy

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References

Lacovou M, Tavares LP. Yearning, learning, and conceding: reasons men and women change their childbearing Intentions. Popul Dev Rev 2011;37:89-123.

Chen M, Yip PS. The discrepancy between ideal and actual parity in Hong Kong: fertility desire, intention, and behavior. Popul Res Policy Rev 2017;36:583-605.

Huang Y, Tang W, Mu Y, Li X, Liu Z, Wang Y, et al. The sex ratio at birth for 5,338,853 deliveries in China from 2012 to 2015: a facility-based study. PloS One 2016;11. doi: 10.1371/journal.pone.0167575.

Qin M. Evolution of family planning policy and its impact on population change in China. Southampton: University of Southampton; 2016.

Jones GW. Ultra-low fertility in East Asia: policy responses and challenges. Asian Popul Stud 2019;15:131-49.

Son YJ. Do childbirth grants increase the fertility rate? Policy impacts in South Korea. Rev Econ Househ 2018;16: 713-35.

Nagase N. The effect of family-friendly policies on fertility and maternal labor supply. California: Stanford University; 2017.

Swee-Hock S. Population policies and programmes in Singapore. Hawaii: ISEAS-Yusof Ishak Institute; 2016.

Liu F, Bao J, Boutain D, Straughn M, Adeniran O, DeGrande H, et al. Online responses to the ending of the one-child policy in China: implications for preconception care. Ups J Med Sci 2016:1-8.

Schwank SE, Gu C, Cao Z, Andersson E, Jiang H, Ding Y, et al. China’s child policy shift and its impact on Shanghai and Hangzhou women’s decision-making. Int J Womens Stud 2018;10:639.

Bollen KA, Glanville JL, Stecklov G. Socio-economic status, permanent income, and fertility: a latent-variable approach. Popul Stud 2007;61:15-34.

Monstad K, Propper C, Salvanes KG. Education and fertility: evidence from a natural experiment. Scand J Econ 2008;110: 827-52.

Begall K, Mills MC. The influence of educational field, occupation, and occupational sex segregation on fertility in the Netherlands. Eur Sociol Rev 2012;29:720-42.

Lan M, Kuang Y. The impact of women's education, workforce experience, and the one child policy on fertility in China: a census study in Guangdong, China. Springer Plus 2016;5:1708.

Bao L, Chen F, Zheng Z. Transition in second birth intention in a low fertility context: the case of Jiangsu, China. Asian Popul Stud 2017;13:198-222.

Jiang Q, Li Y, Sanchez-Barricarte JJ. Fertility intention, son Preference, and second childbirth: survey findings from Shaanxi province of China. Soc Indic Res 2016;125:935-53.

Breierova L, Duflo E. The impact of education on fertility and child mortality: do fathers really matter less than mothers? Cambridge: National bureau of economic research; 2004.

Press CS. Basic satistics on all region population census in 1953, 1964, 1982, 1990, 2000 and 2010 [monograph on the Internet]. Inner Mongolia Autonomous Regional: China Statistics Press; 2018 [cited 2019 Dec 20]. Available from: http://tj.nmg.gov.cn/Files/tjnj/2018/zk/indexeh.htm

Keyong D. Population aging and its influences on the economy and society in China. Beijing: Renmin University of China; 2016.

Press CS. Characteristic of aging problem in inner mongolia [monograph on the Internet]. Inner Mongolia: Inner Mongolia of China Statistics Press; 2015 [cited 2019 Dec 15]. Available from: http://www.nmgtj.gov.cn/nmgttj/tjfx/webinfo/2016/01/ 1441781739054285.htmInner

Rich A, Brandes K, Mullan B, Hagger MS. Theory of planned behavior and adherence in chronic illness: a meta-analysis. J Behav Med 2015;38:673-88.

Zeng Y, Hesketh T. The effects of China's Universal twochild policy. Lancet 2016;388:1930-8.

Zhang N, Fan Fm, Huang Sy, Rodriguez MA. Mindfulness training for loneliness among Chinese college students: a pilot randomized controlled trial. Int J Psychol 2018;53: 373-8.

Hawkley LC, Gu Y, Luo YJ, Cacioppo JT. The mental representation of social connections: generalizability extended to Beijing adults. PloS One 2012;7. doi: 10.1371/journal.pone. 0044065.

Falkingham J, Evandrou M, Qin M, Vlachantoni A. Informal care provision across multiple generations in China. Southampton: University of Southampton; 2019.

Chen F, Liu G, Mair CA. Intergenerational ties in context: grandparents caring for grandchildren in China. Social Forces 2011;90:571-94.

Anderberg D, Zhu Y. What a difference a term makes: the effect of educational attainment on marital outcomes in the UK. J Popul Econ 2014;27:387-419.

Cygan-Rehm K, Maeder M. The effect of education on fertility: evidence from a compulsory schooling reform. Labour Econ 2013;25:35-48.

Nozaki Y. The effects of higher education on childrearing fertility behavior in Japan. Int J Soc 2017;44:653-69.

Molina JA, Montuenga VM. The motherhood wage penalty in Spain. J Fam Econ Issues 2009;30:237-51.

Billingsley S, Puur A, Sakkeus L. Jobs, careers, and becoming a parent under state socialist and market conditions: evidence from Estonia 1971-2006. Demographic Res 2014;30:1733-68.

Osiewalska B. Childlessness and fertility by couples' educational gender (in) equality in Austria, Bulgaria, and France. Demographic Res 2017;37:325-62.

Wang C. History of the Chinese family planning program: 1970– 2010. Contraception 2012;85:563-9.

Zhang Y. A qualitative study of Chinese women’s fertility desire in light of the recent two-child policy. Scania: Lund University; 2018.

Hesketh T, Lu L, Xing ZW. The effect of china's one-child family policy after 25 years. N Engl J Med 2005;353:1171-6.

Yi Zeng ZW. A policy analysis on challenges and opportunities of population/household aging in China. Popul Ageing 2014;7:255-81.

Huang J, Qin D, Jiang T, Wang Y, Feng Z, Zhai J, et al. Effect of fertility policy changes on the population structure and economy of China: from the perspective of the shared socioeconomic pathways. Washington: AGU-100; 2019.

DOI: http://dx.doi.org/10.31584/jhsmr.2020748

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About The Authors

Xinhua Li
Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand. Faculty of Health Management, Inner Mongolia Medical University, Jin Shan Development Zone, Hohhot 010020,
China

Yancun Fan
Faculty of Health Management, Inner Mongolia Medical University, Jin Shan Development Zone, Hohhot 010020,
China

Sawitri Assanangkornchai
Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Edward Braddon McNeil
Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

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