IDEAS home Printed from https://ideas.repec.org/a/bla/rdevec/v23y2019i4p1788-1799.html
   My bibliography  Save this article

Urban bias and wage inequality

Author

Listed:
  • Jiancai Pi
  • Yanwei Fan

Abstract

This paper explores how urban bias affects skilled–unskilled wage inequality through building several general equilibrium models. In the basic model, we find that an increase in the degree of urban bias will widen wage inequality if the unskilled sector is more capital intensive than the skilled sector and reduce wage inequality if the skilled sector is more capital intensive than the unskilled sector. In the extended models, we find that the conclusion obtained in the basic model almost still holds under different conditions.

Suggested Citation

  • Jiancai Pi & Yanwei Fan, 2019. "Urban bias and wage inequality," Review of Development Economics, Wiley Blackwell, vol. 23(4), pages 1788-1799, November.
    • Handle: RePEc:bla:rdevec:v:23:y:2019:i:4:p:1788-1799
    DOI: 10.1111/rode.12603
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rode.12603
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rode.12603?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
    ---><---

    Citations

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


    Cited by:

    1. Jiancai Pi & Xinyi Liu, 2023. "Urban bias and multinational firms," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(1), pages 101-114, February.
    2. Jiancai Pi & Xiangyu Huang, 2021. "Product Variety and Wage Inequality," Annals of Economics and Finance, Society for AEF, vol. 22(1), pages 135-151, May.
    3. Pi, Jiancai & Zhang, Pengqing, 2021. "Redistribution and wage inequality," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 510-523.
    4. Dianshuang Wang & Hongyun Huang & Xin Zhao & Fang Fang, 2023. "Green technological progress, agricultural modernization, and wage inequality: Lessons from China," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1673-1698, August.
    5. Jiancai Pi & Kaiqi Zhang & Xiangyu Huang, 2023. "Financial globalization and wage inequality," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(2), pages 144-157, May.
    6. Chi‐Chur Chao & May Hu & Xuan Nguyen, 2022. "Manufacturing capital utilisation, firm dynamics and wage inequality," The World Economy, Wiley Blackwell, vol. 45(12), pages 3947-3970, 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:bla:rdevec:v:23:y:2019:i:4:p:1788-1799. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1363-6669 .

    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.