Volume 7, Issue 3 (2018)                   JFST 2018, 7(3): 239-242 | Back to browse issues page

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Arabshahi Karizi A. Analysis of the Performance of Northern and Southern Provinces in the Fisheries Sector. JFST 2018; 7 (3) :239-242
URL: http://jfst.modares.ac.ir/article-6-16160-en.html
Management Department, Management, Economics & Accounting Faculty, Payam-e-Noor University, Tehran, Iran , ahmad.arabshahi@gmail.com
Abstract:   (9597 Views)
Aims: Iran has many potential and opportunities for the development of aquaculture with the goal of producing and diversifying food, improving food security, non-oil exports, foreign exchange, and most importantly, generating productive employment directly and indirectly. The aim of this study was to analyze the performance of the northern and southern provinces in the fisheries sector.
Instruments and Methods: In this descriptive study, provinces including Bushehr, Khuzestan, Sistan and Baluchestan, Golestan, Guilan, Mazandaran, and Hormozgan were examined by Multi-Attribute Decision Making (MADM) and, in particular, the prioritization technique based on the technique for order of preference by similarity to ideal solution (TOPSIS). The data were collected, using the 2015 Statistical Yearbook of Fisheries Organization and the Statistical Yearbook of Iran. Multi-attribute decision making (MADM) was used to analyze the data.
Findings: Based on the statistics used and the selected indices, Mazandaran had the best performance in the fisheries sector among the provinces. Guilan, Hormozgan, Khuzestan, Sistan and Baluchestan, Bushehr, and Golestan provinces were in the next ranks.
Conclusion: In the fisheries sector, Mazandaran province has the best performance among the provinces of Guilan, Hormozgan, Khuzestan, Sistan and Baluchestan, Bushehr, and Golestan.
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Article Type: Research Article | Subject: fish and shellfish physiology
Received: 2017/10/20 | Published: 2018/09/22

1. Aghili SM, Safari R, Shabanpour B, Rahmani M. An Analysis of the consumer market for aquatics and fishery products in Gorgan. J Fisch. 2010;4(3):91-100. [Persian] [Link]
2. Moradi H, Alibeygi AH. The effective factors contributing to the success of fishery cooperatives in Kermanshah province. Sci Res Q J CO-Operation Agric. 2010;21(3);1-28. [Persian] [Link]
3. Babakhani E, Eshraghi Samani R, Poursaiyed AR. A look at the marketing of fisheries and aquaculture (Case Study: Qasr -e- Shirin). Shebak. 2016;2(2 Suppul 9):15-21. [Persian] [Link]
4. Mokhtari Abkenari A, Chizari M, Salehi H. Perceptions of Iranian fisheries experts towards sustainable aquaculture. Iran Agric Ext Educ J. 2006;2(2):87-97. [Persian] [Link]
5. Mohammadi H, Farajzadeh Z, Mokhtari D, Pishbin S, Ameri AA. Financial appraisal of investment in aquatic producing and processing projects in fars province. Pajouhesh Sazandegi . 2008;21(2):2-16. [Persian] [Link]
6. Eskandari S, Zeraatkish SY. Study of value added and fishery export on economic variables agriculture in Iran. J Aquac Develop. 2016;10(3):1-12. [Persian] [Link]
7. Asgarpour MJ. Multiple criteria decision making. Tehran: University of Tehran; 2013. [Persian] [Link]
8. Azar A, Rajabzadeh A. Applied decision making: MADM approach. Tehran: Negahe Danesh; 2012. [Persian] [Link]
9. Pourtaheri M. Application of multi attribute decision making method in geography. Tehran: Samt; 2014. 117-8. [Persian] [Link]
10. Amiri M, Darestani Farahahni A. Decision making with multiple criteria. Tehran: Kiyan University Press; 2013. [Persian] [Link]
11. Dai L, Wang J. Evaluation of the Profitability of Power Listed Companies Based on Entropy Improved TOPSIS Method. Procedia Eng. 2011;15:4728-32. [Link] [DOI:10.1016/j.proeng.2011.08.885]
12. Statistical Centre of Iran. Iran statistical yearbook, 2015. Tehran: Statistical Centre of Iran; 2015. pp. 266-71. [Link]
13. Iran Fisheries Organization. Iran Fisheries Organization statistical yearbook, 2014. Tehran: Iran Fisheries Organization; 2014. pp. 20-40. [Persian] [Link]
14. Samadi Miarkolaei H, Samadi Miarkolaei H, Masha Zamini M. Entrepreneurship development; a step towards achieving the economic and social goals of fisheries: (Explanation and ranking of effective environmental factors using fuzzy Delphi and FAHP approach). Iran Fish Sci Res Inst. 2015;24(3):125-38. [Persian] [Link]
15. Jamali G, Valinassab T. Identification, analysis and ranking of factors affecting productivity of Bushehr fishing companies using Group Analytical Hierarchy Process (GAHP) technique. Iran Fish Sci Res Inst. 2012;20(4):33-42. [Persian] [Link]
16. Behtash MJ, Ajili A, Ashrafi P. Extension workers' attitude towards privatization of agricultural extension and its determinant factors. Iran Agric Ext Educ J. 2006;2(2):111-20. [Persian] [Link]
17. Fazli H, Parafkandeh Haghighy F, Keymaram F, Daryanabard G. Spatiotemporal abundance and diversity of bonyfishes in beach seines in Iranian waters of the Caspian Sea. Fish Sci Technol. 2016;5(3):109-20. [Persian] [Link]
18. Adeli A. Evaluation and Interpretation of policies of Five -year developmental plans and Iran fisheries outlook. Fish Sci Technol. 2013;2(3):57-74. [Persian] [Link]
19. Alipour H, Touraji. MR. A Need Assessment of fish (cammon carp) culture Agent members in Guilan and Mazandaran Province. Iran Fish Sci Res Inst. 2013;22(3):103-16. [Persian] [Link]
20. Eskandari S, Zeraatkish S. Study of value added and fishery export on economic variables agriculture in Iran. J Aquac Dev. 2016;10(3):1-12. [Persian] [Link]
21. Nasimi A. Position of developing the fisheries industry in an economy without oil. Agric Econ Develop. 1998;22(6):153-77. [Persian] [Link]
22. Salarzehi H, Roshandel Arabtani T, Masoumi E. Strategic analysis of entrepreneurial development in fishery industries within a SWOT-AHP Approach (A case study in Bushehr province). Public Manag Res. 2014;7(25):97-118. [Persian] [Link]

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