Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/bla/etrans/v11y2003i4p597-619.html
   My bibliography  Save this article

Increasing urban wage inequality in China

Author

Listed:
  • John Knight
  • Lina Song
Abstract
Two strictly comparable cross‐section household datasets, relating to 1988 and 1995, are used to analyse the increase in wage inequality from an initially low level in urban China over this period of labour market reform. The institutional background and the evolution of policy are described. The rapid growth of wage inequality and the sharp widening of wage structure are quantified. Earnings functions are compared, and the increase in both the level and the inequality of wages are decomposed into their constituent elements. Quantile regression analysis is conducted to throw light on the relationships between the observed and the unobserved determinants of wages. Distinctions are made between the variables likely to represent human capital, discrimination, and segmentation. The evidence suggests that productive characteristics were increasingly rewarded as marketization occurred, but that discrimination and segmentation also grew. The move towards a fully‐fledged labour market was by no means complete.

Suggested Citation

  • John Knight & Lina Song, 2003. "Increasing urban wage inequality in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(4), pages 597-619, December.
  • Handle: RePEc:bla:etrans:v:11:y:2003:i:4:p:597-619
    DOI: 10.1111/j.0967-0750.2003.00168.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.0967-0750.2003.00168.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.0967-0750.2003.00168.x?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
    ---><---

    References listed on IDEAS

    as
    1. Peter Gottschalk, 1997. "Inequality, Income Growth, and Mobility: The Basic Facts," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 21-40, Spring.
    2. Martin Ravallion & Shaohua Chen, 1999. "When Economic Reform is Faster Then Statistical Reform: Measuring and Explaining Income Inequality in Rural China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(1), pages 33-56, February.
    3. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    4. Knight, John B & Song, Lina, 1991. "The Determinants of Urban Income Inequality in China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 53(2), pages 123-154, May.
    5. Mwabu, Germano & Schultz, T Paul, 1996. "Education Returns across Quantiles of the Wage Function: Alternative Explanations for Returns to Education by Race in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 335-339, May.
    6. Shorrocks, A F, 1982. "Inequality Decomposition by Factor Components," Econometrica, Econometric Society, vol. 50(1), pages 193-211, January.
    7. Gustafsson, Bjorn & Shi, Li, 2001. "The Anatomy of Rising Earnings Inequality in Urban China," Journal of Comparative Economics, Elsevier, vol. 29(1), pages 118-135, March.
    8. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    9. Robert H. Topel, 1997. "Factor Proportions and Relative Wages: The Supply-Side Determinants of Wage Inequality," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 55-74, Spring.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chi, Wei & Li, Bo & Yu, Qiumei, 2011. "Decomposition of the increase in earnings inequality in urban China: A distributional approach," China Economic Review, Elsevier, vol. 22(3), pages 299-312, September.
    2. Omar Arias & Gustavo Yamada & Luis Tejerina, 2004. "Education, family background and racial earnings inequality in Brazil," International Journal of Manpower, Emerald Group Publishing Limited, vol. 25(3/4), pages 355-374, April.
    3. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    4. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    5. Sourafel Girma & Abbi Kedir, 2005. "Heterogeneity in returns to schooling: Econometric evidence from Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 41(8), pages 1405-1416.
    6. Selahattin Güriş & Ebru Çağlayan, 2012. "Returns to education and wages in Turkey: robust and resistant regression," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1407-1416, August.
    7. Chris Sakellariou, 2005. "Heterogeneity in the Returns to Education and Experience: Evidence from a High and a Low Income S.E. Asian Country," Economic Growth Centre Working Paper Series 0501, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    8. Michael Chletsos & Stelios Roupakias, 2020. "Education and wage inequality before and during the fiscal crisis: A quantile regression analysis for Greece 2006–2016," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1333-1364, November.
    9. Bartelsman, Eric & Dobbelaere, Sabien & Peters, Bettina, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-Level Evidence on Germany and the Netherlands," IZA Discussion Papers 7540, Institute of Labor Economics (IZA).
    10. Fasih, Tazeen & Kingdon, Geeta & Patrinos, Harry Anthony & Sakellariou, Chris & Soderbom, Mans, 2012. "Heterogeneous returns to education in the labor market," Policy Research Working Paper Series 6170, The World Bank.
    11. Kevin Denny & Vincent O'Sullivan, 2004. "Can education compensate for low ability? Evidence from British data (version 3.0)," Open Access publications 10197/170, School of Economics, University College Dublin.
    12. Le Wang, 2013. "How Does Education Affect the Earnings Distribution in Urban China?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 435-454, June.
    13. Christopher S. Ruebeck & Joseph E. Harrington, Jr & Robert Moffitt, 1997. "Handedness and Earnings," Economics Working Paper Archive 533, The Johns Hopkins University,Department of Economics, revised Jun 2004.
    14. Daniel Miles & Máximo Rossi, 2001. "Wage Inequality in Developing Countries: Market Forces or Government Intervention," Documentos de Trabajo (working papers) 1001, Department of Economics - dECON.
    15. Arias, Omar, 2001. "Are men benefiting from the new economy : male economic marginalization in Argentina, Brazil, and Costa Rica," Policy Research Working Paper Series 2740, The World Bank.
    16. repec:ucn:wpaper:10197/170 is not listed on IDEAS
    17. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    18. Kevin Denny & Vincent O'Sullivan, 2004. "Can education compensate for low ability? Evidence from British data (version 3.1)," Working Papers 200420, School of Economics, University College Dublin.
    19. Patrinos, Harry Anthony & Ridao-Cano, Cris & Sakellariou, Chris, 2006. "Estimating the returns to education : accounting for heterogeneity in ability," Policy Research Working Paper Series 4040, The World Bank.
    20. Kevin Denny & Vincent O'Sullivan, 2004. "Can education compensate for low ability? Evidence from British data (version 3.2)," Open Access publications 10197/943, School of Economics, University College Dublin.
    21. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.

    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:bla:etrans:v:11:y:2003:i:4:p:597-619. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/ebrdduk.html .

    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.