Application of Financial Social Accounting Matrix (FSAM) for Analyzing Real-Financial Linkages of Iranian Economy

Q4 Economics, Econometrics and Finance
P. Mohajeri, A. Banouei, Seyyed Mohammad Seyyed Hosseini
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引用次数: 0

Abstract

Prevailing views in Iran suggest that financial sector mobilizes more resource to services than to the commodity producing sectors. On account of double counting in intermediate inputs, the conventional multipliers derived from the Financial Social Accounting Matrix (FSAM) cannot solve this problem. As an alternative to conventional multipliers, FSAM GDP multipliers which indicate the growth performance of financial system of economy are proposed. Using a newly constructed 2016 FSAM for Iran, both conventional and GDP multipliers of Real Social Accounting Matrix (RSAM) and FSAM have been worked out. The overall findings are as follows: First- the average conventional and GDP multipliers in FSAM are larger than their corresponding figures in RSAM. Second- in RSAM, the average conventional multipliers of commodity producing sectors are larger than services whereas the GDP multipliers give the opposite pictures which support the prevailing opinions in Iran. Third- With respect to conventional and GDP multipliers at the sectoral level, the results show that in the case of conventional multipliers, 8 out of 10 top highest multipliers are commodity producing sectors whereas GDP multipliers give exactly the opposite trend which vindicates the resource mobilization of financial sector towards the service sectors.
金融社会会计矩阵(FSAM)在分析伊朗经济实体金融联系中的应用
伊朗的主流观点表明,金融部门向服务业调动的资源比向商品生产部门调动的资源更多。由于中间投入的重复计算,传统的从金融社会会计矩阵(FSAM)推导的乘数无法解决这个问题。作为传统乘数的一种替代,提出了FSAM GDP乘数来表示经济金融系统的增长绩效。使用新构建的2016年伊朗FSAM,计算出了实际社会核算矩阵(RSAM)和FSAM的传统乘数和GDP乘数。总体发现如下:第一,FSAM中的平均常规乘数和GDP乘数大于RSAM中的相应数字。其次,在RSAM中,商品生产部门的平均传统乘数大于服务业,而GDP乘数给出了相反的情况,支持了伊朗的主流观点。第三,关于部门一级的传统乘数和国内生产总值乘数,结果表明,在传统乘数的情况下,10个最高乘数中有8个是商品生产部门,而国内生产总值乘法器给出了完全相反的趋势,证明了金融部门向服务部门调动资源的正确性。
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来源期刊
Iranian Economic Review
Iranian Economic Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.70
自引率
0.00%
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