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Factors Associated with Fertility Intention among Chinese Married Youth during the COVID-19 Pandemic.
Peng, Ruicheng; Mou, Wei; Xu, Peng.
  • Peng R; Department of Sociology, School of Philosophy, Zhongnan University of Economics and Law, Wuhan 430073, China.
  • Mou W; Department of Sociology, School of Philosophy, Zhongnan University of Economics and Law, Wuhan 430073, China.
  • Xu P; Department of Sociology, School of Philosophy, Zhongnan University of Economics and Law, Wuhan 430073, China.
Behav Sci (Basel) ; 13(2)2023 Feb 17.
Article in English | MEDLINE | ID: covidwho-2244147
ABSTRACT
Using the childbearing survey data from Hubei Province in March 2022, this article empirically analyzed the status quo of fertility intention and its influencing factors among Chinese married youth during the COVID-19 pandemic. In our analysis, fertility intention was operationalized as the ideal number of children and short-term fertility plan. Statistical results showed that the average ideal number of children stood at 1.652, which was lower than the population replacement level, whilst only 16.4% of married youth had a short-term fertility plan. By utilizing a binary logit regression model and the sheaf coefficient technique, we found that COVID-19-induced factors (i.e., change in the marital relationship during the epidemic, delayed pregnancy preparation due to vaccination) had a more stable effect on fertility intention, especially on short-term fertility planning. Parenting perception characteristics exerted a great impact on the ideal number of children but a relatively small impact on short-term fertility planning. Meanwhile, married youth with stable jobs and a high family income did not necessarily show stronger fertility intentions than those with fewer socioeconomic resources. In addition, the findings also reveal that the relative importance of fertility-influencing factors could vary at different fertile stages, which have valuable implications for population policy in Chinese contexts.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Vaccines Language: English Year: 2023 Document Type: Article Affiliation country: Bs13020184

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Vaccines Language: English Year: 2023 Document Type: Article Affiliation country: Bs13020184