IDEAS home Printed from https://ideas.repec.org/a/spr/ariqol/v11y2016i1d10.1007_s11482-014-9358-7.html
   My bibliography  Save this article

A Human Well-Being Perspective to the Measurement of Quality of Life: Findings From the City of Delhi

Author

Listed:
  • Preeti Kapuria

    (Jadavpur University)

Abstract

This study employs Amartya Sen’s Capability Approach to assess the quality of life of people in Delhi. Despite recording the highest per capita income in the country, Delhi remains a city-state of many inequalities causing huge disparities in the living conditions of the rich and the poor. Here I assess peoples’ perception of these disparities using five sets of well-being dimensions; psychological distress, social interactions and leisure activities, sheltering conditions, health status, and economic status & working conditions. Using a stratified random sample of 330 households (1,267 individuals aged atleast 18 years) and plurality of well-being dimensions, survey responses are quantified using fuzzy set theory, an approach designed to handle inexact and fuzzy outcomes. The results show that around 31 % of Delhi’s population is deprived of social interactions and leisure activities, over 25 % of people have very poor health status and around 14 % have very poor economic and working conditions. Education, in particular, is found to play an important role in improving the well-being of individuals. Higher levels of education are associated with higher levels of well-being achievement. The findings from this analysis should make a strong case for supplementing economic indicators with other indicators of well-being.

Suggested Citation

  • Preeti Kapuria, 2016. "A Human Well-Being Perspective to the Measurement of Quality of Life: Findings From the City of Delhi," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(1), pages 125-145, March.
    • Handle: RePEc:spr:ariqol:v:11:y:2016:i:1:d:10.1007_s11482-014-9358-7
    DOI: 10.1007/s11482-014-9358-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11482-014-9358-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11482-014-9358-7?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:ariqol:v:11:y:2016:i:1:d:10.1007_s11482-014-9358-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.