지역산업연관 투입계수 추계기법의 적합성 비교
A Study on Suitability Comparison of Input Coefficient to Build Regional Input-Output Tables Estimating Method
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초록
The purpose of this study is to find the most suitable way to build regional input-output tables. To achieve the goals, this study was based on the standard model of the 2005 Regional Input-Output Tables built by the Bank of Korea, and then compared models created by non-survey methods with the use of the 2005 national Input-Output Analysis. Through the comparative analysis, this study investigated the suitability of the estimate method. SLQ, CILQ, RLQ, FLQ, AFLQ, and RAS methods, which have been widely used by researchers, were used for estimation, and as for the suitability test, Correlation Analysis, Correlation Coefficient, the sum of MAD, and Chi-Square Analysis were performed in the study. As a result, RAS method turned out to be the most excellent one, showing that its Correlation Coefficient was 0.977, the sum of MAD was 1.479, and Chi-Square was 2.651. Six methods, however, had serious problems in building Regional Input-Output Tables. Therefore, to address the problems, it is necessary to find a method of building Regional Input-Output Tables.
Abstract
The purpose of this study is to find the most suitable way to build regional input-output tables. To achieve the goals, this study was based on the standard model of the 2005 Regional Input-Output Tables built by the Bank of Korea, and then compared models created by non-survey methods with the use of the 2005 national Input-Output Analysis. Through the comparative analysis, this study investigated the suitability of the estimate method. SLQ, CILQ, RLQ, FLQ, AFLQ, and RAS methods, which have been widely used by researchers, were used for estimation, and as for the suitability test, Correlation Analysis, Correlation Coefficient, the sum of MAD, and Chi-Square Analysis were performed in the study. As a result, RAS method turned out to be the most excellent one, showing that its Correlation Coefficient was 0.977, the sum of MAD was 1.479, and Chi-Square was 2.651. Six methods, however, had serious problems in building Regional Input-Output Tables. Therefore, to address the problems, it is necessary to find a method of building Regional Input-Output Tables.
참고문헌 (24)
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