Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis
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
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Agricultural Indicators, Districts, GRA, Punjab, Sustainability
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(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
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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
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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
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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.
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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
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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.
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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
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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