New Mixed Method of CHARM-RAS for Generating Regional Input-Output Tables (RIOTs) of Gilan and Hormozgan Provinces, Iran

A. Banouei, P. Mohajeri, J. Banouei, Z. Ziyaei, S. Tavassoli, Z. Eghtesadi, S. Sadeghi
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Abstract

The application of CHARM for the estimation of RIOTs needs two residuals: exports and value added. The first one seems to be plausible whereas the second one is not appropriate for those countries like Iran which have regional accounts. The comparison of the regional sectoral value added and the regional GDP figures of Gilan and Hormozgan provinces derived from the CHARM method with corresponding official figures reveal underestimation of 2.4 per cent for Gilan province and overestimation of 9.9 per cent for Hormozgan province. These deviations are more pronounced in regional sectoral value added of two provinces. These observations raise an important question: why one should overlook and/or unnecessarily adjust the official data? To solve this issue a new mixed CHARM-RAS method is proposed. The overall findings show that first of all, as compared to the CHARM method, the proposed mixed method guarantees the regional sectoral value added and GDP of two provinces provided by SCI. Secondly, the degree of accuracy between two methods reveals that the proposed method outperforms the CHARM method in all the statistical methods.
伊朗吉兰省和霍尔木兹甘省投入产出表生成的CHARM-RAS混合新方法
运用CHARM对暴乱进行估计需要两个残差:出口和增加值。第一种似乎是合理的,而第二种则不适合像伊朗这样拥有地区账户的国家。将吉兰省和霍尔木兹甘省的区域部门增加值和区域国内总产值数字与相应的官方数字进行比较,发现吉兰省低估了2.4%,霍尔木兹甘省高估了9.9%。这种偏差在两省的区域部门增加值中更为明显。这些观察提出了一个重要的问题:为什么人们应该忽视和/或不必要地调整官方数据?为了解决这一问题,提出了一种新的混合CHARM-RAS方法。总体结果表明:首先,与CHARM方法相比,本文提出的混合方法保证了SCI提供的两省的区域部门增加值和GDP。其次,两种方法的准确率比较表明,该方法在所有统计方法中优于CHARM方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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