2019
DOI: 10.1093/wbro/lkz002
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Preventing More “Missing Girls”: A Review of Policies to Tackle Son Preference

Abstract: In parts of Asia, the South Caucasus, and the Balkans, son preference is strong enough to trigger significant levels of sex selection, resulting in the excess mortality of girls and skewing child sex ratios in favor of boys. Every year, an estimated 1.8 million girls go “missing” because of the widespread use of sex selective practices in these regions. The pervasive use of such practices is reflective of the striking inequities girls face immediately, and it also has possible negative implications for efforts… Show more

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Cited by 14 publications
(9 citation statements)
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“…[3][4][5] Evidence-based strategies that include consideration of social determinants, such as equal inheritance laws for women, and emphasis on effective implementation of policies, are urgently needed to reduce sex-selective abortion. 34,35 Without a reduction in sex-selective abortion, the demo graphic distortion might have repercussions for decades. 36,37 Contributors NS and PJ conceived and designed the study.…”
Section: Richest Quintilementioning
confidence: 99%
“…[3][4][5] Evidence-based strategies that include consideration of social determinants, such as equal inheritance laws for women, and emphasis on effective implementation of policies, are urgently needed to reduce sex-selective abortion. 34,35 Without a reduction in sex-selective abortion, the demo graphic distortion might have repercussions for decades. 36,37 Contributors NS and PJ conceived and designed the study.…”
Section: Richest Quintilementioning
confidence: 99%
“…As highlighted by Antman (2016), it is conceivable that the sex ratio of the children in the household may influence elderly health indirectly through the time and financial contributions parents receive from their adult children. Indeed, given the gendered nature of support in China, having no sons may impact on how parents (particularly mothers) are treated in the household and the community at large, which may in turn impact on their health (Kumar & Sinha, 2019).…”
Section: Empirical Strategymentioning
confidence: 99%
“…A possible explanation of the gap is the differential fertility patterns between poor and nonpoor households. Son preference has been shown to influence fertility decisions; families frequently continue to have children until they reach their preferred number of boy children (Clark 2000;Kumar and Sinha 2020) across the wealth distribution. 22 Ultrasounds are more common among urban women, women who have some educational attainment, and women in wealthier households (IIPS and ICF International 2017).…”
Section: Figure 8 Child Differences In Poverty Rates By Sex Are Concentrated In Countries Exhibiting Sex Selectionmentioning
confidence: 99%