IDEAS home Printed from https://ideas.repec.org/a/src/jbsree/v6y2020i4p1227-1236.html
   My bibliography  Save this article

Composite Appraisal of Women Development in Selected Thirty-six Countries with Special Focus on Pakistan: Applying Grey Incidence Analysis Model

Author

Listed:
  • Tehmina Fiaz Qazi
  • Abdul Basit
  • Waheed Asghar
  • Abdul Aziz Khan Niazi

Abstract

Aim of the study is to appraise women development in selected thirty-six countries with special reference to Pakistan. The design of the study comprises of survey of literature, data elicitation and analysis. The study uses grey incidence analysis model (usually known as Grey Relational Analysis or simply GRA). The model has been applied on the secondary data extracted from the website of World Development Indicators (WDI). The countries included in the analysis have been selected on the basis of availability of data. From the result of GRA it can be learnt that thirty-six countries of the world are classified into seven different categories. There are five countries (namely Estonia, Hungary, Slovak Republic, Thailand and Ecuador) categorized as countries having exceptionally high women development, whereas, five countries under each next ensign (very high, high, moderate, low and very low). There are six countries (namely Tanzania, Madagascar, Cote d'Ivoire, Pakistan, Nigeria and Afghanistan) categorized under the ensign of exceptionally low. Pakistan fall under the ensign of exceptionally low. This study is designed on an original country level data extracted from very reliable source and the results of the study are useful for regulators, researchers, NGOs and other stakeholders of the phenomenon by way of providing deeper and new information.

Suggested Citation

  • Tehmina Fiaz Qazi & Abdul Basit & Waheed Asghar & Abdul Aziz Khan Niazi, 2020. "Composite Appraisal of Women Development in Selected Thirty-six Countries with Special Focus on Pakistan: Applying Grey Incidence Analysis Model," Journal of Business and Social Review in Emerging Economies, CSRC Publishing, Center for Sustainability Research and Consultancy Pakistan, vol. 6(4), pages 1227-1236, December.
  • Handle: RePEc:src:jbsree:v:6:y:2020:i:4:p:1227-1236
    DOI: http://doi.org/10.26710/jbsee.v6i4.1406
    as

    Download full text from publisher

    File URL: https://publishing.globalcsrc.org/ojs/index.php/jbsee/article/view/1406/992
    Download Restriction: no

    File URL: https://libkey.io/http://doi.org/10.26710/jbsee.v6i4.1406?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
    ---><---

    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:src:jbsree:v:6:y:2020:i:4:p:1227-1236. 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: Prof. Dr. Ghulam Shabir (email available below). General contact details of provider: https://edirc.repec.org/data/csrcmpk.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.