IDEAS home Printed from https://ideas.repec.org/a/eaa/aeinde/v9y2009i1_16.html
   My bibliography  Save this article

An Empirical Analysis of Chinese Rural Labour Migration Using a Multinomial Logit Model

Author

Listed:
  • Chen, G.
  • Hamori, S.

Abstract

This paper uses data from the China Health and Nutrition Survey (CHNS) questionnaire (2000) from four provinces that have a large number of migrant workers—Guizhou, Guangxi, Hubei, and Henan (16 counties with 96 villages). We clarify the characteristics of non-agricultural workers and migrants in comparison with agricultural workers based on a multinomial logit model. The results reveal that individual, household, and regional characteristics determine the employment choices of Chinese rural workers.

Suggested Citation

  • Chen, G. & Hamori, S., 2009. "An Empirical Analysis of Chinese Rural Labour Migration Using a Multinomial Logit Model," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(1).
    • Handle: RePEc:eaa:aeinde:v:9:y:2009:i:1_16
    as

    Download full text from publisher

    File URL: http://www.usc.es/economet/reviews/aeid9116.pdf
    Download Restriction: No.
    ---><---

    More about this item

    Keywords

    multinomial logit model; labor migration; Chinese labor market;
    All these keywords.

    JEL classification:

    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

    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:eaa:aeinde:v:9:y:2009:i:1_16. 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: M. Carmen Guisan (email available below). General contact details of provider: http://www.usc.es/economet/eaa.htm .

    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.