IDEAS home Printed from https://ideas.repec.org/a/axf/gbppsa/v13y2025ip172-179.html

Research on the Spatial Distribution Pattern of Disabled Population in Yunnan Province

Author

Listed:
  • Liu, Hengyu

Abstract

Although population geography has evolved into a mature sub-discipline and achieved remarkable progress across various research domains, studies focusing on the population with disabilities remain relatively limited. This paper examines the spatial distribution characteristics of the disabled population based on the definition outlined in the Law of the People's Republic of China on the Protection of Persons with Disabilities, which identifies disability as the loss or abnormality of certain psychological, physiological, or structural functions of the human body. The results reveal a distinct spatial pattern in Yunnan Province, where the disabled population is more concentrated in the eastern regions-particularly the northeast-while significantly fewer individuals with disabilities reside in the northwest. Furthermore, the analysis indicates a strong positive correlation between the total population size and the number of people with disabilities, suggesting that population density is a key factor influencing the distribution of disability. This study provides a scientific foundation for formulating more precise and equitable support policies for people with disabilities and highlights the necessity of strengthening the collection and analysis of fundamental data to promote their social inclusion and sustainable development.

Suggested Citation

  • Liu, Hengyu, 2025. "Research on the Spatial Distribution Pattern of Disabled Population in Yunnan Province," GBP Proceedings Series, Scientific Open Access Publishing, vol. 13, pages 172-179.
  • Handle: RePEc:axf:gbppsa:v:13:y:2025:i::p:172-179
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/GBPPS/article/view/810/791
    Download Restriction: no
    ---><---

    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:axf:gbppsa:v:13:y:2025:i::p:172-179. 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: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/GBPPS .

    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.