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Union membership, union coverage and wage dispersion of rural migrants: Evidence from Suzhou industrial sector

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  • Wang, Wen
  • Lien, Donald

Abstract

Using the data from an original survey on rural migrant workers from Suzhou industrial sector in 2013, we estimate the wage effect of both union membership and union coverage across the wage distributions using decomposition approach based on unconditional quantile regression. The results show that union membership has a significant effect on the wage level of rural migrant workers across the wage distribution. The effect of coefficient differences which results from the different rewarding systems explains the majority wage differentials between union members and non-members in non-unionized firms. There is also significant union coverage effect at the lower part of the distribution when comparing the union-covered non-member to the nonunion-covered non-member, which is also mainly caused by the coefficient effect. By contrast, wage differentials between union members and non-members in unionized firms are attributed to significant composition effect, which reveals that union members are positively selected within unionized firms. As a result, the positive wage effect of union is limited to the more advantaged group among migrant workers.

Suggested Citation

  • Wang, Wen & Lien, Donald, 2018. "Union membership, union coverage and wage dispersion of rural migrants: Evidence from Suzhou industrial sector," China Economic Review, Elsevier, vol. 49(C), pages 96-113.
    • Handle: RePEc:eee:chieco:v:49:y:2018:i:c:p:96-113
    DOI: 10.1016/j.chieco.2018.02.001
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    1. 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.
    2. Edward J. Schumacher, 1999. "What Explains Wage Differences Between Union Members and Covered Nonmembers?," Southern Economic Journal, John Wiley & Sons, vol. 65(3), pages 493-512, January.
    3. Pi, Jiancai & Zhang, Pengqing, 2016. "Hukou system reforms and skilled-unskilled wage inequality in China," China Economic Review, Elsevier, vol. 41(C), pages 90-103.
    4. Song, Yang & Yang, Jidong & Yang, Qijing, 2016. "Do firms' political connections depress the union wage effect? Evidence from China," China Economic Review, Elsevier, vol. 38(C), pages 183-198.
    5. Yang Yao & Ninghua Zhong, 2013. "Unions and Workers' Welfare in Chinese Firms," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 633-667.
    6. Richard B. Freeman, 1980. "Unionism and the Dispersion of Wages," ILR Review, Cornell University, ILR School, vol. 34(1), pages 3-23, October.
    7. Douglas H. Blair & David L. Crawford, 1984. "Labor Union Objectives and Collective Bargaining," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 99(3), pages 547-566.
    8. Nicolai T. Borgen, 2016. "Fixed effects in unconditional quantile regression," Stata Journal, StataCorp LP, vol. 16(2), pages 403-415, June.
    9. David Card, 2001. "The Effect of Unions on Wage Inequality in the U.S. Labor Market," ILR Review, Cornell University, ILR School, vol. 54(2), pages 296-315, January.
    10. Ying Ge, 2014. "Do Chinese Unions Have “Real” Effects On Employee Compensation?," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 187-202, January.
    11. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    12. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    13. Arbache, Jorge Saba & Carneiro, Francisco Galrao, 1999. "Unions and Interindustry Wage Differentials," World Development, Elsevier, vol. 27(10), pages 1875-1883, October.
    14. Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June.
    15. 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.
    16. Wang, Wen & Li, Qiang & Lien, Donald, 2016. "Human capital, political capital, and off-farm occupational choices in rural China," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 412-422.
    17. Lu, Yi & Tao, Zhigang & Wang, Yijiang, 2010. "Union effects on performance and employment relations: Evidence from China," China Economic Review, Elsevier, vol. 21(1), pages 202-210, March.
    18. Ying ZHU & Malcolm WARNER & Tongqing FENG, 2011. "Employment relations “with Chinese characteristics”: The role of trade unions in China," International Labour Review, International Labour Organization, vol. 150(1-2), pages 127-143, June.
    19. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    20. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    21. Long, Cheryl & Yang, Jin, 2016. "How do firms respond to minimum wage regulation in China? Evidence from Chinese private firms," China Economic Review, Elsevier, vol. 38(C), pages 267-284.
    22. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    23. Card, David, 1996. "The Effect of Unions on the Structure of Wages: A Longitudinal Analysis," Econometrica, Econometric Society, vol. 64(4), pages 957-979, July.
    24. Lung-Fei Lee, 1982. "Some Approaches to the Correction of Selectivity Bias," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(3), pages 355-372.
    25. John Budd & Wei Chi & Yijiang Wang & Qianyun Xie, 2014. "What Do Unions in China Do? Provincial-Level Evidence on Wages, Employment, Productivity, and Economic Output," Journal of Labor Research, Springer, vol. 35(2), pages 185-204, June.
    26. CAI, Fang & DU, Yang, 2011. "Wage increases, wage convergence, and the Lewis turning point in China," China Economic Review, Elsevier, vol. 22(4), pages 601-610.
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    2. Xinxin Ma, 2019. "The Impact of Membership of the Communist Party of China on Wages," Economics Bulletin, AccessEcon, vol. 39(4), pages 2839-2856.
    3. 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.
    4. MA Xinxin, 2022. "Economic Transition and Wage Gap Between Communist Party Members and Nonmembers in China," Discussion papers 22032, Research Institute of Economy, Trade and Industry (RIETI).
    5. Zagler, Martin & Amighini, Alessia & Fang, Weidi, 2023. "On the evolution of the wage premium for party membership in China," Department of Economics Working Paper Series 351, WU Vienna University of Economics and Business.
    6. 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.
    7. Brändle, Tobias, 2024. "Unions and Collective Bargaining: The Influence on Wages, Employment and Firm Survival," GLO Discussion Paper Series 1457, Global Labor Organization (GLO).
    8. Yuan Yuan & Hongbo Li & Xiaolin Zhang & Xiaoliang Hu & Yahua Wang, 2019. "Emerging Location-Based Service Data on Perceiving and Measuring Multifunctionality of Rural Space: A Study of Suzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    9. Huang, Lulu & Zhang, Yuan & Zuo, Congmin, 2023. "City size and the employment of female migrant workers in the service sector: Evidence from urban China," China Economic Review, Elsevier, vol. 82(C).
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    11. Jiang, Xiandeng & Yang, Jin & Yang, Wei & Zhang, Jian, 2021. "Do employees’ voices matter? Unionization and corporate environmental responsibility," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1265-1281.

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    More about this item

    Keywords

    Migrant worker; Union; Wage effect; Quantile regression; China;
    All these keywords.

    JEL classification:

    • J51 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Trade Unions: Objectives, Structure, and Effects
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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