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ASSESSMENT OF AGRICULTURAL PERFORMANCE OF DISTRICTS OF PUNJAB BASED ON COMPOSITE AGRICULTURAL INDICATORS USING GREY RELATIONAL ANALYSIS

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16 Pages : 158-172

http://dx.doi.org/10.31703/gssr.2021(VI-I).16      10.31703/gssr.2021(VI-I).16      Published : Mar 1

Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis

Abstract

    The province of Punjab is considered the breadbasket of Pakistan. This study is aimed to evaluate and hierarchicalize the districts of Punjab based on agricultural indicators. It follows a ranking approach that uses secondary cross-sectional data obtained from Punjab Development Statistics 2016. This study has employed Grey System Theory and used GRA. It is a seminal study that uses a unique methodology that has integrated thirteen different indicators of agricultural development in one mathematical model and assigned a distinct composite grade to every district. Findings revealed that district Bahawalpur and Bahawalnagar have the highest Grey Relational Grade (GRG), hence depict the best agricultural performance in Punjab, whereas district Mianwali has the lowest GRG and accordingly least performance. This research provides insight to the policymakers, which will help them to take corrective measures and/or adjust the agricultural development policies

    Agricultural Indicators, Districts, GRA, Punjab, Sustainability

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

APA

    APA : Qazi, T. F., Niazi, A. A. K., & Basit, A. (2021). Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis. Global Social Sciences Review, VI(I), 158-172. https://doi.org/10.31703/gssr.2021(VI-I).16

CHICAGO

    CHICAGO : Qazi, Tehmina Fiaz, Abdul Aziz Khan Niazi, and Abdul Basit. 2021. "Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis." Global Social Sciences Review, VI (I): 158-172 doi: 10.31703/gssr.2021(VI-I).16

HARVARD

    HARVARD : QAZI, T. F., NIAZI, A. A. K. & BASIT, A. 2021. Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis. Global Social Sciences Review, VI, 158-172.

MHRA

    MHRA : Qazi, Tehmina Fiaz, Abdul Aziz Khan Niazi, and Abdul Basit. 2021. "Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis." Global Social Sciences Review, VI: 158-172

MLA

    MLA : Qazi, Tehmina Fiaz, Abdul Aziz Khan Niazi, and Abdul Basit. "Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis." Global Social Sciences Review, VI.I (2021): 158-172 Print.

OXFORD

    OXFORD : Qazi, Tehmina Fiaz, Niazi, Abdul Aziz Khan, and Basit, Abdul (2021), "Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis", Global Social Sciences Review, VI (I), 158-172

TURABIAN

    TURABIAN : Qazi, Tehmina Fiaz, Abdul Aziz Khan Niazi, and Abdul Basit. "Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis." Global Social Sciences Review VI, no. I (2021): 158-172. https://doi.org/10.31703/gssr.2021(VI-I).16