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The distribution of financial aid in China: Is aid reaching poor students?

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  • Loyalka, Prashant
  • Song, Yingquan
  • Wei, Jianguo

Abstract

China's central government incrementally introduced various kinds of student financial aid since the late 1990s in response to public concerns about the rising burden of college prices. Despite the marked increase in financial assistance from governmental as well as non-governmental sources in recent years especially, little is known about how well aid is currently distributed across Chinese universities and whether it is successfully reaching needy students.

Suggested Citation

  • Loyalka, Prashant & Song, Yingquan & Wei, Jianguo, 2012. "The distribution of financial aid in China: Is aid reaching poor students?," China Economic Review, Elsevier, vol. 23(4), pages 898-917.
    • Handle: RePEc:eee:chieco:v:23:y:2012:i:4:p:898-917
    DOI: 10.1016/j.chieco.2012.04.010
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    References listed on IDEAS

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    1. Elliott Fan & Xin Meng & Zhichao Wei & Guochang Zhao, 2010. "Rates of Return to University Education: the Regression Discontinuity Design," CEPR Discussion Papers 634, Centre for Economic Policy Research, Research School of Economics, Australian National University.
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    3. Loyalka, Prashant & Song, Yingquan & Wei, Jianguo & Zhong, Weiping & Rozelle, Scott, 2013. "Information, college decisions and financial aid: Evidence from a cluster-randomized controlled trial in China," Economics of Education Review, Elsevier, vol. 36(C), pages 26-40.
    4. Roger Newson, 2001. "somersd-Confidence intervals for nonparametric statistics and their differences," Stata Technical Bulletin, StataCorp LP, vol. 10(55).
    5. Liu, Chengfang & Zhang, Linxiu & Luo, Renfu & Wang, Xiaobing & Rozelle, Scott & Sharbono, Brian & Adams, Jennifer & Shi, Yaojiang & Yue, Ai & Li, Hongbin & Glauben, Thomas, 2011. "Early commitment on financial aid and college decision making of poor students: Evidence from a randomized evaluation in rural China," Economics of Education Review, Elsevier, vol. 30(4), pages 627-640, August.
    6. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
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    Cited by:

    1. Cai, Yu & Chapman, Bruce & Wang, Qing, 2019. "Repayment burdens of mortgage-style student loans in China and steps toward income-contingent loans," Economics of Education Review, Elsevier, vol. 71(C), pages 95-108.
    2. Huang, Wei & Li, Fan & Liao, Xiaowei & Hu, Pingping, 2018. "More money, better performance? The effects of student loans and need-based grants in China's higher education," China Economic Review, Elsevier, vol. 51(C), pages 208-227.
    3. Loyalka, Prashant & Song, Yingquan & Wei, Jianguo & Zhong, Weiping & Rozelle, Scott, 2013. "Information, college decisions and financial aid: Evidence from a cluster-randomized controlled trial in China," Economics of Education Review, Elsevier, vol. 36(C), pages 26-40.
    4. Wang, Xiaobing & Liu, Chengfang & Zhang, Linxiu & Yue, Ai & Shi, Yaojiang & Chu, James & Rozelle, Scott, 2013. "Does financial aid help poor students succeed in college?," China Economic Review, Elsevier, vol. 25(C), pages 27-43.

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    More about this item

    Keywords

    College students; Financial aid; Need; China; Nonparametric; Semiparametric;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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