IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v50y2018i54p5903-5919.html

Returns to education in China: a meta-analysis

Author

Listed:
  • Sefa Awaworyi Churchill
  • Vinod Mishra

Abstract

Within labour economics, returns to education is an area of focused research. Moreover, amongst studies looking at emerging economies, China is the most widely studied economy. While there is a general consensus that returns to education are positive, studies use various datasets and methodologies and consequently present varying estimates of returns to education. We perform a meta-analysis of these estimates of the returns to education in China, addressing issues of heterogeneity in the existing literature and examining whether variations in reported estimates can be explained by study characteristics such as dataset and estimation methods, among others. The meta-regression results show that variations in reported estimates can be accounted for by study characteristics such as data source, estimation method and sample period, among others. The results support the college premium hypothesis and reveal that the returns to education for college graduates are higher than those for other (lower) levels of education.

Suggested Citation

  • Sefa Awaworyi Churchill & Vinod Mishra, 2018. "Returns to education in China: a meta-analysis," Applied Economics, Taylor & Francis Journals, vol. 50(54), pages 5903-5919, November.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:54:p:5903-5919
    DOI: 10.1080/00036846.2018.1488074
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2018.1488074
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2018.1488074?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Livini Donath & Oliver Morrissey & Trudy Owens, 2021. "Does the pay period matter in estimating returns to schooling? Evidence from East Africa," Discussion Papers 2021-01, University of Nottingham, CREDIT.
    2. Ji Ting, 2019. "Aggregate implications of occupational inheritance in China and India," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(1), pages 1-24, January.
    3. Ichiro Iwasaki & Xinxin Ma, 2021. "Returns to Secondary and Tertiary Education in China - A Meta-Analysis," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 3(Early Vie), pages 1-8.
    4. Chen, Yuanyuan & Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2023. "Education and Migrant Health in China," Economic Modelling, Elsevier, vol. 121(C).
    5. Huang, Bin & Tani, Massimiliano & Wei, Yi & Zhu, Yu, 2022. "Returns to education in China: Evidence from the great higher education expansion," China Economic Review, Elsevier, vol. 74(C).
    6. Jianhua Duan & Kuntal K. Das & Laura Meriluoto & W. Robert Reed, 2020. "Estimating the effect of spillovers on exports: a meta-analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(2), pages 219-249, May.
    7. Chen, Ye & Kumru, Cagri S. & Zhang, Yurui, 2024. "Optimal taxation, differential mortality, and endogenous human capital accumulation in China," China Economic Review, Elsevier, vol. 88(C).
    8. Mattia Filomena & Matteo Picchio, 2023. "Retirement and health outcomes in a meta‐analytical framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1120-1155, September.
    9. Xinxin Ma & Ichiro Iwasaki, 2021. "Does communist party membership bring a wage premium in China? a meta-analysis," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 19(1), pages 55-94, January.
    10. Jianhua Duan & Kuntal K. Das & Laura Meriluoto & W. Robert Reed, 2019. "Spillovers and Exports: A Meta-Analysis," Working Papers in Economics 19/03, University of Canterbury, Department of Economics and Finance.
    11. Xinxin Ma & Ichiro Iwasaki, 2021. "Return to schooling in China: a large meta-analysis," Education Economics, Taylor & Francis Journals, vol. 29(4), pages 379-410, July.
    12. repec:iab:iabjlr:v:54:p:art.17 is not listed on IDEAS
    13. Wang, Haining & Cheng, Zhiming & Smyth, Russell & Sun, Gong & Li, Jie & Wang, Wangshuai, 2022. "University education, homeownership and housing wealth," China Economic Review, Elsevier, vol. 71(C).
    14. W. Robert Reed, 2020. "A Note on the Use of Partial Correlation Coefficients in Meta-Analyses," Working Papers in Economics 20/08, University of Canterbury, Department of Economics and Finance.
    15. Dai, Fengyan & Xu, Lei & Zhu, Yu, 2022. "Higher education expansion and supply of teachers in China," China Economic Review, Elsevier, vol. 71(C).
    16. Huang, Bin & Zhu, Yu, 2020. "Higher Education Expansion, the Hukou System, and Returns to Education in China," IZA Discussion Papers 12954, IZA Network @ LISER.
    17. Prakash, Kushneel & Awaworyi Churchill, Sefa & Smyth, Russell, 2022. "Are you puffing your Children's future away? Energy poverty and childhood exposure to passive smoking," Economic Modelling, Elsevier, vol. 114(C).
    18. Chen, Jie & Pastore, Francesco, 2021. ""Study hard and make progress every day": Updates on returns to education in China," GLO Discussion Paper Series 787, Global Labor Organization (GLO).
    19. Xiaorong Gu, 2021. "Parenting for Success: The Value of Children and Intensive Parenting in Post-Reform China," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(2), pages 555-581, April.
    20. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54, pages 1-017.
    21. Awaworyi Churchill, Sefa & Iqbal, Nasir & Nawaz, Saima & Yew, Siew Ling, 2021. "Unconditional cash transfers, child labour and education: theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 437-457.
    22. Sefa Awaworyi Churchill & Hoang M. Luong & Mehmet Ugur, 2022. "Does intellectual property protection deliver economic benefits? A multi‐outcome meta‐regression analysis of the evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1477-1509, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:50:y:2018:i:54:p:5903-5919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.