Investigating Fertility Intentions for a Second Child in Contemporary China Based on User-Generated Content

Ying Qian, Xiao-ying Liu, Bing Fang, Fan Zhang and Rui Gao
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Ying Qian: Department of Information Management, School of Management, Shanghai University, Shanghai 200444, China
Xiao-ying Liu: Department of Information Management, School of Management, Shanghai University, Shanghai 200444, China
Bing Fang: Department of Information Management, School of Management, Shanghai University, Shanghai 200444, China
Fan Zhang: Department of Information Management, School of Management, Shanghai University, Shanghai 200444, China
Rui Gao: Department of Information Management, School of Management, Shanghai University, Shanghai 200444, China

IJERPH, 2020, vol. 17, issue 11, 1-15

Abstract: China’s two-child policy, aimed at boosting the country’s total fertility rate, has failed to achieve the desired outcomes. Previous studies on low fertility rates mainly used data obtained from demographic censuses, questionnaires, or interviews. These data-gathering methods are costly, entailing time delays and yielding limited information. User-generated content (UGC) provides an alternative data source. We propose a machine–human hybrid approach using UGC obtained from social media to assess users’ intentions to have a second child. Our results showed that couples associate a second child with high economic costs mainly through negative impacts on the mothers’ careers, with no concomitant economic benefits. A key motivation for having two children relates to the mental benefit of the joy in having children. However, raising a second child also entails considerable mental costs such as exhaustion and pressure. Couples largely seek help within their extended families, that is, their parents are major sources of child-rearing support. Therefore, the government should devise ways of reducing the negative impacts of having a second child on a woman’s career and provide child-rearing support to help increase the fertility rate. Our proposed approach can also be used to elicit the reasons for low fertility rates in other countries.

Keywords: fertility intention; second child; machine–human hybrid approach; user-generated content; two-child policy (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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