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Ranking of Financing Methods in Iran's Steel Industry through
the Statistical Model of Multi-indicator Decision Making
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Rasool Shahpouri *   , Ali Amirshahi , Ali Salehababdi |
| imam sadeqh , rasoolshahpouri@gmail.com |
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Abstract: (269 Views) |
| Optimum financing of economic enterprises is a necessary action that can improve the quality and quantity of domestic industries in the prevailing competitive environment and ultimately lead to the economic growth and prosperity of the country. Investigations show that some of the production plans in the country, such as steel projects, are defined with liquidity problems in order to achieve production capacity, therefore, considering the importance of steel projects in the country's economy, so far the issue of choosing the optimal method of financing the relevant industry as a No special attention is needed. Therefore, in the current research, we are seeking to discover the most optimal financing model for Iran's steel industry based on a series of specific criteria. In this study, through the statistical technique of multi-criteria decision-making and the design and distribution of a questionnaire to experts in order to prioritize the financing methods of the steel industry, which were extracted through a semi-structured interview, and the analysis and final ranking of the obtained information Using the TOPSIS method, the factors and financing methods of the steel industry were evaluated, and in this regard, pairwise comparisons were used to rank the factors and weights. The results of this study indicate that the project fund option compared to other options, including: construction, exploitation and ownership, parallel istisna, bonds convertible into shares, partnership bonds and lease bonds are of the highest priority according to It has components and criteria such as reasonable cost, etc. compared to other financing options, so it is suggested that companies active in the steel industry in the country prioritize financing in this way. |
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| Keywords: Financing, steel industry, TOPSIS method and AHP method |
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Full-Text [PDF 1207 kb]
(93 Downloads)
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Type of Study: Research |
Subject:
Special
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