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Identifying Key Sectors in Iranian Economy using Eigenvector Method Based on Input-Output Table for year 2011

Nader Hakimipoor () and Hojjat Akbarian ()
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Nader Hakimipoor: Assistant Professor at Statistical Research and Training Center, Statistical Center of Iran
Hojjat Akbarian: MA in economics, Statistical Expert of Statistical Center of Iran

Quarterly Journal of Applied Theories of Economics, 2016, vol. 3, issue 1, pages 139-160

Abstract: Due to shortage of the capital, identifying investing sectors with more economic growth and stimulation effects is the matter of interest for many economic planners. These sectors that have the most backward and forward chains with other economic sectors are known as key sectors. The main purpose of this paper is to identify these key sectors using new methods and comparing them with traditional methods. In this study, we used a 69-sector input-output table derived by merging 71-sector input-output table in 2011 (prepared by Iranian statistical center). The results show that despite the high correlation of Rasmussen and eigen vector methods, based on traditional Rasmussen method, 16 sectors, and based on eigen vector method, 4 sectors are as Iran's key economic sectors.

Keywords: Backward linkage; Forward linkage; Eigen vector; Key sectors. (search for similar items in EconPapers)
JEL-codes: C15 C67 O40 (search for similar items in EconPapers)
Date: 2016
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