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EVALUATING UNEMPLOYMENT THROUGH GREY INCIDENCE ANALYSIS MODEL A STUDY OF ONE HUNDRED THIRTEEN SELECTED COUNTRIES

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04 Pages : 23-35

http://dx.doi.org/10.31703/grr.2021(VI-I).04      10.31703/grr.2021(VI-I).04      Published : Mar 2021

Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries

Abstract

    The purpose of the study is to gauge the unemployment level of selected one hundred and thirteen countries. The design of the study includes a survey of the literature, extraction of relevant data and analysis. The study follows a quantitative paradigm of research that uses secondary data set taken from the website of World Development Indicators (WDI). The analysis encompasses selected countries based on the availability of data. The data has been analyzed using Grey Incidence Analysis Model, commonly known as GRA. For interpretation of the results, the methodology has been augmented with the scheme of ensigns (i.e. classification of countries into Extremely Low, Very Low, Low, Moderate, High, Very High, Extremely High) of the level of unemployment. Results show that J&APR have an extremely low level of unemployment and member countries of SADC have an extremely high level of unemployment. Pakistan fall under the ensign of very low, therefore have a low level of unemployment. It is valuable to study equally useful for governments, academia and the international community. This study provides critical new information on the phenomenon.

    Unemployment, Grey Incidence Analysis Model, GRA, Pakistan

    (1) Abdul Aziz Khan Niazi
    Institute of Business & Management, University of Engineering and Technology, Lahore, Punjab, Pakistan.
    (2) Tehmina Fiaz Qazi
    Hailey College of Banking and Finance, University of the Punjab, Lahore, Punjab, Pakistan.
    (3) Abdul Basit
    Lahore Institute of Science & Technology, Lahore, Punjab, Pakistan.
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Cite this article

APA

    APA : Niazi, A. A. K., Qazi, T. F., & Basit, A. (2021). Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries. Global Regional Review, VI(I), 23-35. https://doi.org/10.31703/grr.2021(VI-I).04

CHICAGO

    CHICAGO : Niazi, Abdul Aziz Khan, Tehmina Fiaz Qazi, and Abdul Basit. 2021. "Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries." Global Regional Review, VI (I): 23-35 doi: 10.31703/grr.2021(VI-I).04

HARVARD

    HARVARD : NIAZI, A. A. K., QAZI, T. F. & BASIT, A. 2021. Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries. Global Regional Review, VI, 23-35.

MHRA

    MHRA : Niazi, Abdul Aziz Khan, Tehmina Fiaz Qazi, and Abdul Basit. 2021. "Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries." Global Regional Review, VI: 23-35

MLA

    MLA : Niazi, Abdul Aziz Khan, Tehmina Fiaz Qazi, and Abdul Basit. "Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries." Global Regional Review, VI.I (2021): 23-35 Print.

OXFORD

    OXFORD : Niazi, Abdul Aziz Khan, Qazi, Tehmina Fiaz, and Basit, Abdul (2021), "Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries", Global Regional Review, VI (I), 23-35

TURABIAN

    TURABIAN : Niazi, Abdul Aziz Khan, Tehmina Fiaz Qazi, and Abdul Basit. "Evaluating Unemployment through Grey Incidence Analysis Model: A Study of One Hundred Thirteen Selected Countries." Global Regional Review VI, no. I (2021): 23-35. https://doi.org/10.31703/grr.2021(VI-I).04