University of Tabriz Applied Theories of Economics 2423-6586 5 3 2018 11 22 Assessment of the Efficiency of FLQ and AFLQ Methods in the Regionalization of National Input-Output Tables in Iran’s Economy Assessment of the Efficiency of FLQ and AFLQ Methods in the Regionalization of National Input-Output Tables in Iran’s Economy 103 136 7962 FA Hossein Aliasgharpour Ph.D. Candidate in Economics, Faculty of Economics, University of Mazandaran Nooraddin Sharify Associate Professor of Economics, University of Mazandaran 0000-0001-5973-2546 Journal Article 2018 03 08 This article seeks to compare the accuracy of the Flegg’s Location Quotients (FLQ) and Augmented Flegg’s Location Quotient (AFLQ) methods in the regionalization of the national input-output table. The study of the evolution of location quotient approaches shows that although all the empirical evidence confirms the superiority of Flegg’s location quotient and its augmented methods in comparison to location quotient approaches, there is no single theory about the success of these two methods compared to each other. Therefore, the input-output table is provided for 31 provinces of the country, using the value added and output statistics of the provinces, updated national input-output table provided by Statistical Center of Iran in 2011, and the FLQ and AFLQ methods. To compare the performance of the FLQ method with the AFLQ method, five statistical indicators of estimating deviation are used. The results of the research show that in the regionalization of the national input-output table in Iran’s economy, the FLQ method is more accurate than the AFLQ in many statistical indicators, especially Tiel’s index. This article seeks to compare the accuracy of the Flegg’s Location Quotients (FLQ) and Augmented Flegg’s Location Quotient (AFLQ) methods in the regionalization of the national input-output table. The study of the evolution of location quotient approaches shows that although all the empirical evidence confirms the superiority of Flegg’s location quotient and its augmented methods in comparison to location quotient approaches, there is no single theory about the success of these two methods compared to each other. Therefore, the input-output table is provided for 31 provinces of the country, using the value added and output statistics of the provinces, updated national input-output table provided by Statistical Center of Iran in 2011, and the FLQ and AFLQ methods. To compare the performance of the FLQ method with the AFLQ method, five statistical indicators of estimating deviation are used. The results of the research show that in the regionalization of the national input-output table in Iran’s economy, the FLQ method is more accurate than the AFLQ in many statistical indicators, especially Tiel’s index. https://ecoj.tabrizu.ac.ir/article_7962_9524380b95a34d3999518a845d6dff4b.pdf