IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v15y2025i3p21582440251374835.html
   My bibliography  Save this article

Language Skills and Income: Evidence from Xizang’s Rural Households in China

Author

Listed:
  • Aiyan Xu
  • Jianfeng He
  • Xin Xin

Abstract

Language competence, particularly in the national standard language ability (NSLA), constitutes a critical dimension of human capital. According to classical human capital theory and endogenous growth models, proficiency in NSLA enhances individuals’ capacity for information acquisition, social communication, and labor market integration, thereby improving employment outcomes and income levels. Drawing on data from the 2021 wave of the Annual Livelihood Survey of Farmers and Herders in Xizang in China, this study investigates the relationship between NSLA and household income among Tibetan farmers and herdsmen. Using an extended Mincerian earnings function, we find that: (1) NSLA has a statistically significant positive effect on household income; (2) among the four dimensions of language competence—listening, speaking, reading, and writing—speaking ability exerts the greatest impact; and (3) the income effect of NSLA varies considerably across income groups, with limited returns for low-income households and diminishing marginal returns for high-income households. These findings suggest that promoting NSLA among the rural Tibetan labor force can enhance income generation capacity and contribute to reducing income inequality. The study offers policy implications for advancing inclusive development and linguistic equity in multilingual, service-oriented economies like Xizang in China.

Suggested Citation

  • Aiyan Xu & Jianfeng He & Xin Xin, 2025. "Language Skills and Income: Evidence from Xizang’s Rural Households in China," SAGE Open, , vol. 15(3), pages 21582440251, September.
  • Handle: RePEc:sae:sagope:v:15:y:2025:i:3:p:21582440251374835
    DOI: 10.1177/21582440251374835
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440251374835
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440251374835?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:sae:sagope:v:15:y:2025:i:3:p:21582440251374835. 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: SAGE Publications (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.