Ali Asghar Banouei; Afsaneh Sherkat
Abstract
The problem of spatial equilibrium and disequilibrium has always been one of the main concerns of policy makers and regional planners in Iran. Two prerequisites, which have not been considered by regional analysts in Iran, are highlighted to explain this problem: First, the recognition of theoretical ...
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The problem of spatial equilibrium and disequilibrium has always been one of the main concerns of policy makers and regional planners in Iran. Two prerequisites, which have not been considered by regional analysts in Iran, are highlighted to explain this problem: First, the recognition of theoretical foundations of place-based and place-neutral theories, and, second, the use of integrated and coherent statistics such as the MRIOT. The main purpose of this paper is to examine these two issues while using a multi-regional model with special emphasize on the feedback effects, based on following three questions: Is there a direct relationship between the size of GDP of different regions with their spillover and feedback effects? Which regions have a greater role in the spatial equilibrium? And finally, which sectors do play a greater role in the spatial equilibrium of the country? For answering the above questions, for the first time in Iran, the MRIOT is calculated. The MRIOT comprises nine regions based on the latest approval of the Supreme Council for Spatial Planning using the FLQ-RAS mixed method, within the framework of seven economic sectors for year 2011. Findings show that: First, there is no direct relationship between the size of GDP and the spillover effects of the regions. Second, the feedback effects of the regions with smaller GDP are higher which would potentially play a greater role in creating spatial equilibrium in the country. Third, the feedback effects of the agricultural related industries in eight regions are higher than that of the other economic sectors. This suggests that, this sector can be considered as the driving force behind the spatial equilibrium in the country.
Ali Asghar Banouei; parisa mohajeri; narges sadeghi; afsaneh sherkat
Abstract
In this article, we show that the application of LQ methods for estimation of RIOT in Iran requires two types of residuals. To tackle with this problem, a new mixed FLQ-RAS method is proposed. This method maintains the official data of regional accounts that has been provided by the Statistical Centre ...
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In this article, we show that the application of LQ methods for estimation of RIOT in Iran requires two types of residuals. To tackle with this problem, a new mixed FLQ-RAS method is proposed. This method maintains the official data of regional accounts that has been provided by the Statistical Centre of Iran and therefore, the sectoral export is used as a residual. Domestic National, Gilan IOTs and regional accounts for the year 2002 have been used. FLQ and FLQ-RAS methods have used to estimate the RIOTs of Gilan. For the evaluation, we have used five conventional statistical methods for error measurment. The results are twofolds.The minimum adjustment is 0.9% for agriculture and the maximum adjustment is 55% for mining. Second the degree of accuracy between the two methods reveals that the proposed method outperforms than the FLQ method. The application of the proposed method has four advantages in Iran: one- flexibility for covering more sectors, two- extension to other regions, three- its complete consistency with the basic data of the country and four- its flexibility in considering exogenous or superior data at the regional level.
Ashkan Mokhtari Asl Shoti; Afsaneh Sherkat
Abstract
The most well-known application of the supply and use tables is the calculation of a variety of symmetric tables with different technological assumptions. From the 1960s to the late 2000s, only symmetric industry by industry tables under fixed sale commodity assumption, could be used as the basis of ...
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The most well-known application of the supply and use tables is the calculation of a variety of symmetric tables with different technological assumptions. From the 1960s to the late 2000s, only symmetric industry by industry tables under fixed sale commodity assumption, could be used as the basis of updating. However, a symmetric table cannot provide the simultaneous analysis of product and activity and, therefore, cannot be applied in any fields of economy. Since the late 2000s, the input-output analysts have developed various methods in order to directly use the supply and use tables as the basis of updating instead of updating the symmetric tables. Despite more than three decades of experience of compilation of the supply and use tables in Iran, statistical institutions still use the symmetric tables as the basis of updating. The present paper aims to quantitatively study and compare conventional methods of updating the supply and use tables with the view to answer the following question: Which of the reviewed methods best suits the available statistics in Iran and can be applied for the updating the supply and use tables? The results show that, among the methods under consideration, the SUT_RAS method is more consistent with the nature of data and statistics in Iran.
