[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v37y2016icp2-14.html
   My bibliography  Save this article

Wage differentials between urban residents and rural migrants in urban China during 2002–2007: A distributional analysis

Author

Listed:
  • Zhu, Rong
Abstract
This paper examines the wage differentials between urban workers and rural migrants in China's urban labor market. The wage differentials between the two groups are found to be higher at the top end than at the bottom part of the wage distribution in both 2002 and 2007. We decompose the distributional wage differentials between the two groups into a composition effect explained by differences in productivity characteristics, and a discrimination effect attributable to unequal returns to those characteristics. We find that the discrimination against migrant workers increases with the percentile of wage distribution in both 2002 and 2007. We also show that the discrimination against rural migrants has intensified during 2002–2007 throughout the wage distribution.

Suggested Citation

  • Zhu, Rong, 2016. "Wage differentials between urban residents and rural migrants in urban China during 2002–2007: A distributional analysis," China Economic Review, Elsevier, vol. 37(C), pages 2-14.
  • Handle: RePEc:eee:chieco:v:37:y:2016:i:c:p:2-14
    DOI: 10.1016/j.chieco.2015.04.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X15000553
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2015.04.002?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    2. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    3. Démurger, Sylvie & Gurgand, Marc & Li, Shi & Yue, Ximing, 2009. "Migrants as second-class workers in urban China? A decomposition analysis," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 610-628, December.
    4. Hugo Ñopo, 2008. "Matching as a Tool to Decompose Wage Gaps," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 290-299, May.
    5. Magnani, Elisabetta & Zhu, Rong, 2012. "Gender wage differentials among rural–urban migrants in China," Regional Science and Urban Economics, Elsevier, vol. 42(5), pages 779-793.
    6. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    7. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    8. Javier Gardeazabal & Arantza Ugidos, 2005. "Gender wage discrimination at quantiles," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(1), pages 165-179, July.
    9. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    10. LAU, Chi Keung Marco, 2010. "New evidence about regional income divergence in China," China Economic Review, Elsevier, vol. 21(2), pages 293-309, June.
    11. Nicole M. Fortin, 2008. "The Gender Wage Gap among Young Adults in the United States: The Importance of Money versus People," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    12. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    13. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    14. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    15. Messinis, George, 2013. "Returns to education and urban-migrant wage differentials in China: IV quantile treatment effects," China Economic Review, Elsevier, vol. 26(C), pages 39-55.
    16. John A. Bishop & Feijun Luo & Fang Wang, 2005. "Economic transition, gender bias, and the distribution of earnings in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 239-259, April.
    17. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    18. Xuejin Zuo & Feng Wang, 1999. "Inside China's Cities: Institutional Barriers and Opportunities for Urban Migrants," American Economic Review, American Economic Association, vol. 89(2), pages 276-280, May.
    19. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    20. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    21. Song, Yang, 2013. "Rising Chinese regional income inequality: The role of fiscal decentralization," China Economic Review, Elsevier, vol. 27(C), pages 294-309.
    22. Lee, Leng, 2012. "Decomposing wage differentials between migrant workers and urban workers in urban China's labor markets," China Economic Review, Elsevier, vol. 23(2), pages 461-470.
    23. Björn Gustafsson & Shi Li, 2000. "Economic transformation and the gender earnings gap in urban China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 305-329.
    24. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Dan Zhou & Sibo Yang & Xue Li, 2022. "Internet Use and Job Satisfaction: Evidence from China," IJERPH, MDPI, vol. 19(19), pages 1-16, September.
    2. 岩﨑, 一郎 & Iwasaki, Ichiro & 馬, 欣欣 & Ma, Xin Xin, 2019. "現代中国における男女賃金格差: メタ分析による接近," Discussion Paper Series 689, Institute of Economic Research, Hitotsubashi University.
    3. Ben Westmore, 2017. "Sharing the Benefits of China’s Growth by Providing Opportunities to All," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-33, October.
    4. Ha, Wei & Yi, Junjian & Yuan, Ye & Zhang, Junsen, 2016. "The dynamic effect of rural-to-urban migration on inequality in source villages: System GMM estimates from rural China," China Economic Review, Elsevier, vol. 37(C), pages 27-39.
    5. Ma, Xinxin, 2018. "Labor market segmentation by industry sectors and wage gaps between migrants and local urban residents in urban China," China Economic Review, Elsevier, vol. 47(C), pages 96-115.
    6. He, Xiaobo & Luo, Zijun, 2020. "Does Hukou pay? Evidence from nanny markets in urban China," China Economic Review, Elsevier, vol. 63(C).
    7. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender Wage Gap in China: A Large Meta-Analysis," CEI Research Paper Series 2020-5, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    8. Björn Gustafsson & Haiyuan Wan, 2018. "Wage growth and inequality in urban China: 1988–2013," WIDER Working Paper Series 163, World Institute for Development Economic Research (UNU-WIDER).
    9. Feng, Shuaizhang & Lu, Jingliang & Shen, Leilei, 2024. "Hukou Matters: The heterogeneous local labor market effects of export expansions in China," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 321-340.
    10. 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 1-17.
    11. Liao, Yu & Zhang, Junfu, 2021. "Hukou status, housing tenure choice and wealth accumulation in urban China," China Economic Review, Elsevier, vol. 68(C).
    12. Ding Li & María de los Ángeles Pérez-Sánchez & Shun Yi & Eduardo Parra-Lopez & Naipeng (Tom) Bu, 2021. "Establishing a Sustainable Labor Market in Developing Countries: A Perspective of Generational Differences in Household Wage," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    13. Thomas Vendryes & Jiaqi Zhan, 2023. "Hukou-Based Discrimination, Dialects and City Characteristics," Documents de recherche 23-04, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    14. Ming Guan & Hongyi Guan, 2024. "Sense of community and residential well-being among rural-urban migrants in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    15. 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.
    16. Guangliang Yang & Lixing Li & Shihe Fu, 2020. "Do rural migrants benefit from labor market agglomeration economies? Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(3), pages 910-931, September.
    17. Donghyun Kim & Up Lim, 2017. "Wage Differentials between Heat-Exposure Risk and No Heat-Exposure Risk Groups," IJERPH, MDPI, vol. 14(7), pages 1-17, June.
    18. Baixue Yu & Geng Niu & Jingjing Ye & Wen‐wen Zhang, 2023. "Human capital agglomeration, institutional barriers, and internal migration in China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 284-303, March.
    19. 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.
    20. Björn Gustafsson & Haiyuan Wan, 2018. "Wage growth and inequality in urban China: 1988-2013," WIDER Working Paper Series wp-2018-163, World Institute for Development Economic Research (UNU-WIDER).
    21. Yuke He & Geng Niu & Guochang Zhao, 2022. "Parents' pension eligibility and migrant consumption in urban China: Evidence from a quasi‐experiment," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2317-2335, November.
    22. Pamela Lenton & Lu Yin, 2016. "The Educational Success of China’s Young Generation of Rural-to-Urban Migrants," Working Papers 2016007, The University of Sheffield, Department of Economics.
    23. Gu, Tao, 2019. "Wage determination and fixed capital investment in an imperfect financial market: the case of China," MPRA Paper 95986, University Library of Munich, Germany.

    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. Magnani, Elisabetta & Zhu, Rong, 2012. "Gender wage differentials among rural–urban migrants in China," Regional Science and Urban Economics, Elsevier, vol. 42(5), pages 779-793.
    2. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    3. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    4. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
    5. Domenico Depalo & Raffaela Giordano & Evangelia Papapetrou, 2015. "Public–private wage differentials in euro-area countries: evidence from quantile decomposition analysis," Empirical Economics, Springer, vol. 49(3), pages 985-1015, November.
    6. Sonja C. Kassenböhmer & Mathias Sinning, 2010. "Distributional Changes in the Gender Wage Gap," Ruhr Economic Papers 0220, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    7. Kampon Adireksombat & Zheng Fang & Chris Sakellariou, 2016. "The Evolution Of Gender Wage Differentials In Thailand: 1991–2007 — An Application Of Unconditional Quantile Regression," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-30, December.
    8. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2020. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    9. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.
    10. repec:zbw:rwirep:0220 is not listed on IDEAS
    11. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2019. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2).
    12. Pan, Yao, 2016. "Understanding the rural and urban household saving rise in China," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 46-59.
    13. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
    14. Philippe Van Kerm, 2013. "Generalized measures of wage differentials," Empirical Economics, Springer, vol. 45(1), pages 465-482, August.
    15. Antón, José-Ignacio & Muñoz de Bustillo, Rafael, 2013. "Public-private sector wage differentials in Spain. An updated picture in the midst of the Great Recession," MPRA Paper 48897, University Library of Munich, Germany.
    16. Huong Thu Le & Alison L. Booth, 2014. "Inequality in Vietnamese Urban–Rural Living Standards, 1993–2006," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 862-886, December.
    17. Dang, Rui, 2015. "Explaining the body mass index gaps between Turkish immigrants and Germans in West Germany 2002-2012: A decomposition analysis of socio-economic causes," Ruhr Economic Papers 580, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    18. Sakellariou, Chris, 2012. "Decomposing the increase in TIMSS Scores in Ghana : 2003-2007," Policy Research Working Paper Series 6084, The World Bank.
    19. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    20. Karolina Goraus Tanska & Joanna Tyrowicz & Lucas Augusto van der Velde, 2020. "How rankings disguise gender inequality: A comparative analysis of cross-country gender equality rankings based on adjusted wage gaps," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-21, November.
    21. Zhang, Li & Sharpe, Rhonda Vonshay & Li, Shi & Darity, William A., 2016. "Wage differentials between urban and rural-urban migrant workers in China," China Economic Review, Elsevier, vol. 41(C), pages 222-233.

    More about this item

    Keywords

    Urban residents; Rural migrants; Wage; Quantile decomposition;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    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:eee:chieco:v:37:y:2016:i:c:p:2-14. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/chieco .

    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.