IDEAS home Printed from https://ideas.repec.org/a/agr/journl/vxxviy2019i1(618)p129-150.html
   My bibliography  Save this article

Inequity in health care sector in India: A case study of district level in four Indian states

Author

Listed:
  • Brijesh C. PUROHIT

    (Madras School of Economics, Chennai, India)

Abstract

Across the nations, national health policies, including that of India, have emphasised a preference for equitable health care facilities. Keeping this emphasis on equity in mind we explored four Indian states using sub-state level (or district level) data. We applied mainly three well established indicators, namely Gini coefficient and Thiel’s T and L indices to gauge magnitudes of inequity. We compared our results between two periods for the same state which included one high income and another low income Indian state. Also we compared across four states, namely, Punjab, Karnataka, Madhya Pradesh and West Bengal using the information for latest available year. Our results indicate that government investment in three tier health facilities expansion indeed has resulted in low inequities in terms of health facilities available. However, private health facilities or certain specific public health facilities do not seem to be much equitable particularly at the substate level. Our results focus on availability aspects and thus necessarily do not indicate equitable utilisation of health care facilities or health care outcomes at the district levels.

Suggested Citation

  • Brijesh C. PUROHIT, 2019. "Inequity in health care sector in India: A case study of district level in four Indian states," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(618), S), pages 129-150, Spring.
  • Handle: RePEc:agr:journl:v:xxvi:y:2019:i:1(618):p:129-150
    as

    Download full text from publisher

    File URL: http://store.ectap.ro/articole/1379.pdf
    Download Restriction: no

    File URL: http://www.ectap.ro/articol.php?id=1379&rid=134
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Shreya Banerjee & Indrani Roy Chowdhury, 2020. "Inequities in curative health-care utilization among the adult population (20–59 years) in India: A comparative analysis of NSS 71st (2014) and 75th (2017–18) rounds," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-23, November.
    2. A. Akhtar & Nadeem Ahmad & Indrani Roy Chowdhury, 2020. "Socio-economic inequality in catastrophic health expenditure among households in India: A decomposition analysis," Indian Economic Review, Springer, vol. 55(2), pages 339-369, December.

    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:agr:journl:v:xxvi:y:2019:i:1(618):p:129-150. 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: Marin Dinu (email available below). General contact details of provider: https://edirc.repec.org/data/agerrea.html .

    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.