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Quantifying the sources of heterogeneity of fertility preferences in China
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作者 Rui Lu gert stulp Anne H.Gauthier 《China Population and Development Studies》 2022年第2期127-140,共14页
There are no unanimous estimates on fertility preferences in China;they vary considerably across studies.Understanding this cross-study heterogeneity of reported preferred family size will contribute to the debates on... There are no unanimous estimates on fertility preferences in China;they vary considerably across studies.Understanding this cross-study heterogeneity of reported preferred family size will contribute to the debates on the uncertainty of fertility in China.This paper quantified how much heterogeneity in aggregate-level fertility preferences can be explained by taking into account the demographic characteristics of the sample,its geographical location,and the measurement of fertility preferences.We retrieved 124 estimates of average preferred family size from 94 publications(from the year 2001 and onwards)in the China National Knowledge Infrastructure database(CNKI)and used mixed-effect meta-regression model to investigate heterogeneity.We found that the average preferred number of children in China since 2001 ranged from 0.91 to 2.88,with an average of 1.70(SD=0.26).Demographic differences accounted for 23%,human geographic regionalization for 21%,and the measurement of fertility preferences for 13%of the between-study variation.Sample characteristics(demographic and regional differences)and the measurement of fertility preferences together accounted for 46%of the variation in average preferred fertility.The averaged preferred family size varies by differ-ent characteristics and measurement.This study also points out whether particular groups have higher or lower preferences.It helps researchers to put estimates from fertility preferences from single studies in perspective.Moreover,this study can help resolve why researchers have such different outlooks on the future fertility of China. 展开更多
关键词 Fertility preferences China HETEROGENEITY META-ANALYSIS
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