Awareness of resources and potential economic of regions is essential for their development and growth. One important economic indicator is the economic value of different sections that shows how each region has used its human and natural resources capacities to improve its own economic growth and production. The aim of this study is to achieve the relative merits of each region by the rankings of the value added created by the different economic activities. For this purpose, the Entropy Shanon method for weighting each of the 15 economic sub-sectors was used. Then, the data related to year of 1390 was analysed by the statistical data and multi criteria decision making techniques (VIKOR). The results showed that, Khuzestan has the highest rank because of the high share of value added in the mining sector (48%) and (VIKOR index equal to /290). Tehran because of having lots of share in ‘financial intermediation’ and ‘real estate’, rent and business service’ and (VIKOR index equal to. /472), and Kohgiluyeh Boyer Ahmad because of high share (11%) in the mining sector and (VIKOR index equal to. /538) have been ranked as the second and the third; respectively. The provinces of Qom (VIKOR index was equal to. /993), Semnan (. /993), Chaharmahal and Bakhtiari (. /993) because of the low contribution of the different economic sectors have the lowest rate. Therefore along with the policy of social justice as a central objective of national development programs, It is necessary to investigate different regions of the country (provinces of the country) in the point of view of distribution of Service and access to various socio-economic and infrastructure index. In addition, the insufficiency of future development should be considered.
1. Bittencourt, M.)2010 :( Financial Development and Economic Growth in Latin America: Is Schumpeter Right? Proceedings of the German Development Economics Conference, Berlin.
2. Chamber of Commerce, Industries, Mines and Agriculture Tehran, 2014. Evaluation and ranking of the country's gross domestic product and value added economic activity in 1390; Department of Economy Studies Center collects and analyzes statistics.
3. Dadashpoor, H. and De De jani, M.)2015(: Identifying and prioritizing the root causes of influence in improving regional competitiveness Kurdistan Province", Journal of Regional Planning, Issue 19, Pages 42-27(in Persian).
5. GAO, Y. ZHENG ,Y.and Angang, H. Bo. M.( 2015): Input–Output-Based Genuine Value Added and Genuine Productivity in China’s Industrial Sectors (1995-2010), institute of developing economics.
6. Hojabr Kyani. K and Naghibi. M (2012):Estimating the potential value added in main sectors of the Iranian economy with Kalman filter method, Journal of Applied Economics, Issue 8, pp. 77-57(in Persian).
7. Jafari Samimi, A. and Hosseini S. M( 2007): The Relationship between comparative advantage added value and economic development in the Khorasan agricultural sector and compare it to other provinces Province, the sixth meeting of the country's agricultural economy, Ferdowsi University of Mashhad (in Persian).
8. Jafari Samimi, A., zaribaf, M., and amirpour ashorie,p.(2012): examine the relationship between comparative advantage and added value activities in the tourism sector (hotels and restaurants) and economic growth of the mazandaran and comparison with other provinces, the researchers (Journal of Management), ninth year, No. 25, pp. 20 (in Persian).
9. Jafari Samimi, A. and Naqvi S. S.( 2008): Comparative Advantage extra value economic sectors in the Khorasan region based on the performance of the Third Development Plan, Journal of Knowledge & Development, Vol. 15, No. 23, 23-1(in Persian).
10. Konency, Z. (2011): Economic Value Added as a Dependence on the Corporate- and Market-life Cycle, Journal of Competitiveness, Issue 2.pp 124-145.
11. Khaki, G. (1998): value added a way to measure the productivity, Tehran, Institute of Studies and Educational Planning, 1376, p. 123(in Persian).
12. Khalil Zadeh,J., shahbazi,Q., hallaj yousefi,M. and aghajani,H.( 2013):The impact of rising oil revenues on value added industry, economic strategy, Issue 7, pages 153-172 (in Persian).
13. Lutfi, H. and Mustafa,R .(2014): Analysis and ranking of provinces in terms of the capacity the land strategy, Logistics the environment, Volume 7, Number 27, 165-143(in Persian).
14. Mlek Hussein, A. (2006): Analysis of Spatial organization in markazi Province, Journal of Planning No. 1, Malayer.
15. Mankiw, G.( 2004): Macroeconomics, baradaran. Sh. H and parsaeian. A, Tehran, Allameh Tabatabai University Press, 2004, second edition, p. 28.
16. Nicholas, A., Ghassen, E., Emmanuel, S., Ahdi, N. A., and Rangan ,G.(2014): Dutch disease effect of oil rents on agriculture value added in Middle East and North African (MENA) countries, journal of Energy Economics, Volume 45, Pages 485–490.
17. Nojavan, M., Mohammadi ,A. A.and Salehi, E. (2012):Application of the multiple criteria decision making methods in the urban and regional planning emphasizing topsis and saw methods, Urban Management, Vol. 9 , N. 28, Pages 285-296(in Persian).
18. Odedokun, M.O. (1996): Alternative Econometric Approaches for Analyzing the Role of the Financial Sector in Economic Growth: Time-Series Evidence from LDCs, Journal of Development Economics, 50: 119-146.
19. Opricovic, S. and Tzeng, G. H.( 2007): “Extended VIKOR Method inComparison with Outranking Methods”, European Journal of Operational Research, 178(2), 514–529.
20. Pourtaheri, M., Ahmadabadi, A. and Rahbari, M. (2016): Feasibility Prone Areas of pistachio Cultivation in the City of Damghan (Using: the Vikor Approach), Vol. 5, Issue 20, Pages 97-110(in Persian).
21. Pourasghar sangchyan, F., salehi, E. and dinaravandi, M. (2012): Assess the level of development of the country's provinces with Factors analysis approach, Spatial planning, Volume 4, Number 2, 26-5.
23. Shakeri, A. (2012): Theory and macroeconomic policies, Tehran, Rafeh, Page 45 (in Persian).
24. Sharifi, N., pahlavani, M., esfandiary kalokan, M., dehghan shorkand, H., asgharpormoziraji, H.A. and saadati meil aghardan, F. (2013): Ranking employment and the value added of the manufacturing sector and their causes (Analysis input-output). Economic policy, Issue 8, pp. 149-11 (in Persian).
25. Sadegi shahdani, M. and Ghafari, F. (2009): The relative advantages and structural analysis of the country's GDP in the province", economic research and policy, Issue 50, Pages 136-115 (in Persian).
26. Statistical Center of Iran. (2011): National Account provinces of the country (in Persian).
27. Statistical Center of Iran. (2011): population and housing census(in Persian).
28. Tehran Urban Planning Center. (2010): Overview of Iran's GDP with regard to the share of provinces) with a focus on Tehran province in 2008, knowledge city, Issue 14(in Persian).
29. Zangi Abadi, A.,ahmadian,M.,shahsavani,M.J. and aghajani,H .( 2013): Spatial analysis of regional development in the boshehr Province utilizes a combination of multi-criteria decision approach, Journal of Regional Planning, Issue 12, pp: 1-10(in Persian).
30. Zarabi, A. and Eizadi, M. (2013): Analysis of Regional Development of the Country, spatial planning (Geography), Issue I, row 8, 116-101(in Persian).
Abdoli, G., Kardgar, R., kazemi, A., & Molaei Qelichi, M. (2017). Ranking the Iran's provinces based on added value in the economic subsectors by means of Multi-criteria decision-making models (VIKOR (. Regional Planning, 7(26), 1-14.
MLA
Ghahreman Abdoli; Razieh Kardgar; Abootaleb kazemi; Mohamad Molaei Qelichi. "Ranking the Iran's provinces based on added value in the economic subsectors by means of Multi-criteria decision-making models (VIKOR (". Regional Planning, 7, 26, 2017, 1-14.
HARVARD
Abdoli, G., Kardgar, R., kazemi, A., Molaei Qelichi, M. (2017). 'Ranking the Iran's provinces based on added value in the economic subsectors by means of Multi-criteria decision-making models (VIKOR (', Regional Planning, 7(26), pp. 1-14.
VANCOUVER
Abdoli, G., Kardgar, R., kazemi, A., Molaei Qelichi, M. Ranking the Iran's provinces based on added value in the economic subsectors by means of Multi-criteria decision-making models (VIKOR (. Regional Planning, 2017; 7(26): 1-14.
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