Sonia Sabzalizad Honarvar; Mohammad Jelodari Mamaghani; Aliasghar Banouei; Afsaneh Sherkat; Ashkan Mokhtary Asl Shouti
Volume 18, Issue 57 , February 2014, , Pages 69-84
Abstract
During thepast six decades, the analysts of the input – output economics(IOE) have used two approaches of input – output coefficient matrix(IOCM) and intermediate transactions matrix(ITM), both of which are based on iteration algorithms, in updating input – output tables(IOTs). The ...
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During thepast six decades, the analysts of the input – output economics(IOE) have used two approaches of input – output coefficient matrix(IOCM) and intermediate transactions matrix(ITM), both of which are based on iteration algorithms, in updating input – output tables(IOTs). The former is theoretically based on the production function and is more popular as compared with the latter which is only in terms of accounting. The challenging issue for the analysts of IOE is similar or different results of the two approaches. A group insists on different results, whereas, the observations of another group suggest that the results are equivalent. Neither of the mentioned groups consider factors such as aggregation and convergence speed with respect to the number of iterations in algorithms of the two approaches. The main focus of this article is to investigate the theoretical and empirical aspects of factors, using two survey-based symmetric IOTs of Iran for the years 1996 and 2001. With respect to the above factors, the 3 sectors, 7 sectors, 15 sectors and 21 sectors are considered. This article concludes two overall findings: a 1-statistical error in the two approaches exits but insignificant. 2-The convergence speed with lower number of iterations in the IOCM approach is higher than that of the second approach.
Ali Asghar Banouei; Mohammad Jelowdari Mamaghani; Yaghoob Andayesh; Hassan Alizadeh Asl; Mina Mahmoodi
Volume 6, Issue 20 , October 2004, , Pages 27-53
Abstract
In this paper we analyze quantitatively the interrelationship between three major sectors of the Iranian economy, viz. agriculture, industry and services. We apply two approaches of Social Accounting Matrix (SAM), Namely; conventional multiplier and decomposed multiplier based on structural path ...
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In this paper we analyze quantitatively the interrelationship between three major sectors of the Iranian economy, viz. agriculture, industry and services. We apply two approaches of Social Accounting Matrix (SAM), Namely; conventional multiplier and decomposed multiplier based on structural path analysis. The former illustrates the global effect of one account on the other without revealing the complexities of the socio-economic production processes. The latter depicts different paths as well as loops, circuits and network that have been generated in each path, thereby providing a wide scope to socio–economic analysis. In our study, we have used the Iran's 1996 SAM. The overall results suggest that in order to increase production, mere economic policies are not sufficient and therefore, supplementary socio –economic policies are required.
