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Combined Indicator of Religious Capital and Ranking of the Provinces of Iran
Using by Multi-Criteria Decision Making Patterns
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Mohammad Ghafarifard1   , Mohammadyusoaf Khashee2 , Ramezan Safdari3 , Mohammad Nasim Alameh3 |
1- Assistant Professor of Ahl al-Bayt International University, Tehran
2- Master of Science in Economics with Islamic Economics (Corresponding Author)
3- Master of Science in Economics with an Islamic Economics Degree |
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Abstract: (3901 Views) |
| Theoretical studies show that religious capital is the most important capital of a society. Today, communities need direct focus on religious capital to grow and develop its economy. Because the religious capital, the origin of which is the heart faith, makes the trust between people increases, risk and uncertainty, and individuals gain greater utility from performing religious recommendations. Over time these religious recommendations are established in the form of a new law and norms in society, which consequently accelerates growth and economic development in society. in this research, according to its theoretical basics, first to examine the religious capital and its indices in the DELPHI method, then using AHP method, religious capital indices have been made using Expert choice software. the three indices of religious capital, which have the highest characteristics from the perspective of experts, Qarzulhasanah deposit, the amount of Zakat and the number of Martyrs in the first to third, respectively. then, according to the data collected by 2015 using TOPSIS model, the ranking of Iran provinces has been done. the first to third of which includes the most religious capital is Yazd, south Khorasan and Qom |
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| Keywords: Religious capital, Religious capital indicators, Ranking, AHP, TOPSIS |
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Full-Text [PDF 939 kb]
(1607 Downloads)
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Article type: Research |
Subject:
Special
Received: 2019/11/6 | Accepted: 2020/03/9 | Published: 2020/03/19
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Ghafarifard M, khashee M, Safdari R, Alameh M N. Combined Indicator of Religious Capital and Ranking of the Provinces of Iran
Using by Multi-Criteria Decision Making Patterns. mieaoi 2020; 9 (30) :181-200 URL: http://mieaoi.ir/article-1-935-en.html
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