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Son Preference and Household Income in Rural China

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Listed:
  • John Knight
  • Li Shi
  • Deng Quheng

Abstract

Why is it that couples who have a son or whose last child is a son earn higher conditional income? To solve this curious case we tell a detective story: evidence of a phenomenon to be explained, a parade of suspects, a process of elimination from the enquiry, and then the denouement. Given the draconian family planning policy and a common perception that there is strong son preference in rural China, we postulate two main hypotheses: income-based sex selection making it more likely that richer households have sons, and an incentive for households with sons to raise their income. Tests of each hypothesis are conducted. Taken as a whole, the tests cannot reject either hypothesis but they tend to favour the incentive hypothesis; and there is evidence in support of the channels through which the incentive effect might operate. To our knowledge, this is the first study to test these hypotheses against each other in rural China and more generally in developing countries.

Suggested Citation

  • John Knight & Li Shi & Deng Quheng, 2010. "Son Preference and Household Income in Rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 46(10), pages 1786-1805.
  • Handle: RePEc:taf:jdevst:v:46:y:2010:i:10:p:1786-1805
    DOI: 10.1080/00220388.2010.492948
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    References listed on IDEAS

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    1. Chu Junhong, 2001. "Prenatal Sex Determination and Sex‐Selective Abortion in Rural Central China," Population and Development Review, The Population Council, Inc., vol. 27(2), pages 259-281, June.
    2. Deaton, Angus S, 1989. "Looking for Boy-Girl Discrimination in Household Expenditure Data," The World Bank Economic Review, World Bank, vol. 3(1), pages 1-15, January.
    3. Rachel Murphy, 2003. "Fertility and Distorted Sex Ratios in a Rural Chinese County: Culture, State, and Policy," Population and Development Review, The Population Council, Inc., vol. 29(4), pages 595-626, December.
    4. Ping Zhang & Arthur van Soest & Xiaodong Gong, 2005. "The effects of the gender of children on expenditure patterns in rural China: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 509-527.
    5. Stephan Klasen & Claudia Wink, 2002. "A Turning Point in Gender Bias in Mortality? An Update on the Number of Missing Women," Population and Development Review, The Population Council, Inc., vol. 28(2), pages 285-312, June.
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    Cited by:

    1. Knight, John, 2013. "The economic causes and consequences of social instability in China," China Economic Review, Elsevier, vol. 25(C), pages 17-26.
    2. Shang-Jin Wei & Xiaobo Zhang, 2016. "The Competitive Saving Motive: Concept, Evidence, and Implications," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 11(3), pages 355-366, September.
    3. Qing Wang, 2015. "Child Gender, Intergenerational Kinship and Parental Labor Market Outcomes," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 892-907, November.
    4. Husain, Zakir & Dutta, Mousumi & Saha, Manashi, 2011. "Gender disparities in primary education across siblings: is intra household disparity higher in regions with low child sex ratios?," MPRA Paper 30791, University Library of Munich, Germany.
    5. Madhura Swaminathan & Vikas Rawal, 2011. "Is India Really a Country of Low Income-Inequality? Observations from Eight Villages," Journal, Review of Agrarian Studies, vol. 1(1), pages 1-22, January-J.
    6. Brennan, Linda & Zevallos, Zuleyka & Binney, Wayne, 2011. "Vulnerable consumers and debt: Can social marketing assist?," Australasian marketing journal, Elsevier, vol. 19(3), pages 203-211.
    7. Ding, Weili & Zhang, Yuan, 2014. "When a son is born: The impact of fertility patterns on family finance in rural China," China Economic Review, Elsevier, vol. 30(C), pages 192-208.
    8. Lixing Li & Xiaoyu Wu, 2017. "The Consequences of Having a Son on Family Wealth in Urban China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(2), pages 378-393, June.

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