IDEAS home Printed from https://ideas.repec.org/a/jsr/journl/v2y2016i2p1-11.html

China’S Rural – Urban Migration: Who Gains, Who Loses?

Author

Listed:
  • Stober Emmanuel Olusegun

Abstract

There is a price to pay for any and every country to develop. This price can be said to have been duly paid by migrant workers in China. The benefit of such price is the stamping out of extreme poverty by 94% from 1990 – 2015. This study is embodied by the Lewis Structural Change Model and looks at China’s population control programs – the restriction on internal labor mobility, its income inequality implication and economy development. The research reveals how the sacrifices of the migrant workers payoff in reforming the economic conditions in the rural areas; this points to the reasons why the rural income and development are highly dependent on migrant remittance and why China’s economy development would not have been possible without labor migration.

Suggested Citation

  • Stober Emmanuel Olusegun, 2016. "China’S Rural – Urban Migration: Who Gains, Who Loses?," Junior Scientific Researcher, SC Research Publishing SRL, vol. 2(2), pages 1-11, November.
    • Handle: RePEc:jsr:journl:v:2:y:2016:i:2:p:1-11
    as

    Download full text from publisher

    File URL: https://www.jsrpublishing.com/userfiles/files/archive_pages/12/CHINAS_RURAL_URBAN_MIGRATION-_WHO_GAINS_WHO_LOSES.2016..pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. United Nations UN, 2015. "The Millennium Development Goals Report 2015," Working Papers id:7097, eSocialSciences.
    2. Lin, Justin Y & Wang, Gewei & Zhao, Yaohui, 2004. "Regional Inequality and Labor Transfers in China," Economic Development and Cultural Change, University of Chicago Press, vol. 52(3), pages 587-603, April.
    3. Randall S. Brown & Marilyn Moon & Barbara S. Zoloth, 1980. "Incorporating Occupational Attainment in Studies of Male-Female Earnings Differentials," Journal of Human Resources, University of Wisconsin Press, vol. 15(1), pages 3-28.
    4. 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.
    5. United Nations UN, 2015. "The Millennium Development Goals Report 2015," Working Papers id:7222, eSocialSciences.
    6. Morris M. Kleiner & Alan B. Krueger, 2013. "Analyzing the Extent and Influence of Occupational Licensing on the Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 173-202.
    7. 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.
    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. Jason Gagnon & Theodora Xenogiani & Chunbing Xing, 2009. "Are all Migrants Really Worse off in Urban Labour Markets?: New empirical evidence from China," OECD Development Centre Working Papers 278, OECD Publishing.
    2. Mahmood Araï & Gérard Ballot & Ali Skalli, 1996. "Différentiels intersectoriels de salaire et caractéristiques des employeurs en France," Économie et Statistique, Programme National Persée, vol. 299(1), pages 37-58.
    3. Raquel Vale Mendes, 2009. "Gender wage differentials and occupational distribution," Notas Económicas, Faculty of Economics, University of Coimbra, issue 29, pages 26-40, June.
    4. Maria Koumenta & Mario Pagliero, 2019. "Occupational Regulation in the European Union: Coverage and Wage Effects," British Journal of Industrial Relations, London School of Economics, vol. 57(4), pages 818-849, December.
    5. Weichselbaumer, Doris & Winter-Ebmer, Rudolf, 2003. "Rhetoric in Economic Research: The Case of Gender Wage Differentials," Economics Series 144, Institute for Advanced Studies.
    6. Paulo Roberto De Sousa Freitas Filho & Breno Sampaio, 2016. "Wage Discrimination In Brazil: Inferences Based On Unconditional Quantile Regressions," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 224, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Ravi Srivastava, 2019. "Emerging Dynamics of Labour Market Inequality in India: Migration, Informality, Segmentation and Social Discrimination," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(2), pages 147-171, June.
    8. Jonathan Haughton & Wendi Sun & Le Thi Thanh Loan, 2018. "Discrimination against Migrants in Urban Vietnam," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(3), pages 211-232, August.
    9. Doris Weichselbaumer & Rudolf Winter-Ebmer, 2007. "The effects of competition and equal treatment laws on gender wage differentials [‘Models of job discrimination’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(50), pages 236-287.
    10. Rulof Burger & Rachel Jafta, 2006. "Returns to Race: Labour Market Discrimination in Post-Apartheid South Africa," Working Papers 04/2006, Stellenbosch University, Department of Economics.
    11. Siew, Ching Goy & Johnes, Geraint, 2012. "Revisiting The Impact of Occupational Segregation on the Gender Earnings Gap in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 46(1), pages 13-25.
    12. Martina Zweimüller & Rudolf Winter‐Ebmer & Doris Weichselbaumer, 2008. "Market Orientation and Gender Wage Gaps: an International Study," Kyklos, Wiley Blackwell, vol. 61(4), pages 615-635, November.
    13. Myeong-Su Yun & Eric S. Lin, 2015. "Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach," Pacific Economic Review, Wiley Blackwell, vol. 20(4), pages 569-587, October.
    14. Thomas Vendryes & Jiaqi Zhan, 2023. "Hukou-Based Discrimination, Dialects and City Characteristics," Working Papers hal-04247417, HAL.
    15. Christophe Nordman & Anne-Sophie Robilliard & François Roubaud, 2009. "Decomposing Gender and Ethnic Earnings Gaps in Seven West African Cities," Working Papers DT/2009/07, DIAL (Développement, Institutions et Mondialisation).
    16. Xin Meng, 1998. "Gender occupational segregation and its impact on the gender wage differential among rural-urban migrants: a Chinese case study," Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 741-752.
    17. Pedro Orraca & Francisco Javier Cabrera & Gustavo Iriarte, 2016. "The gender wage gap and occupational segregation in the Mexican labour market," EconoQuantum, Revista de Economia y Negocios, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 13(1), pages 51-72, Enero-Jun.
    18. Pedro Orraca & Francisco-Javier Cabrera & Centro de Investigacion y Docencia Economicas A. C., 2016. "The gender wage gap and occupational segregation in the Mexican labour market," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 13(1), pages 51-72, Enero-Jun.
    19. Andrén, Daniela & Andrén, Thomas, 2007. "Occupational gender composition and wages in Romania: from planned equality to market inequality?," Working Papers in Economics 261, University of Gothenburg, Department of Economics.
    20. Doris Weichselbaumer & Rudolf Winter‐Ebmer, 2005. "A Meta‐Analysis of the International Gender Wage Gap," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 479-511, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • J8 - Labor and Demographic Economics - - Labor Standards
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:jsr:journl:v:2:y:2016:i:2:p:1-11. 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: Aluculesei Alina-Cerasela (email available below). General contact details of provider: .

    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.