English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Tehmina Fiaz Qazi, Abdul Basit, Waheed Asghar, Abdul Aziz Khan Niazi Hailey College of Banking and Finance,University of the Punjab, Lahore, Pakistan, tehmina.qazi@gmail.com Lahore Institute of Science & Technology, Lahore, Pakistan, abasit_shahbaz@yahoo.com Director in Technical Education and Vocational Training Authority,Government of the Punjab, Lahore, Pakistan, waheedasgharpk@gamil.com; director.at@tevta.gop.pk Institute of Business & Management,University of Engineering & Technology, Lahore, Pakistan, azizniazi@uet.edu.pk ARTICLE DETAILS ABSTRACT History Revised format: November 2020 Available Online: December 2020 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.

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