投入？産出模型과？？聯關的 間接效果？？:성격 및 산업연관적 특성을 중심으로
The Input-Output Model and ？？the Interrelated Indirect Effect？？:Based on the Character and the Interindustry Characteristics
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초록
레온티에프 역행렬의 요인별 분해를 통하여 유발계수행렬 체계가 완성되었다. 유발계수행렬은 최종수요에 의해서 유발되는 생산() 및 투입유발계수행렬()과 산출물에 의해서 유발되는 생산() 및 투입유발계수행렬()로 나누어진다. 본 연구는 ① 최종수요에 의한 유발계수행렬을 특징 지워주는연관적 간접효과(interrelated indirect effect)의 성격을 규명하기 위하여, ② 연관적 간접효과의 산업연관적 특성을『2000년 산업연관표』를 통하여 경험적 분석을 할 목적으로 의도되어진 것이다. 네 유발계수행렬은 투입계수행렬 와 기술적 간접행렬 는 공통으로 갖고 있다. 오직 최종수요에 대한 생산 및 투입유발계수행렬에만 연관적 간접효과를 나타내는 연관적 간접행렬 을 내포하고 있다. 행렬의 원소 는 j부문의 최종수요 1단위를 충족하기 위한 i부문으로부터의 연관적 간접투입요구량을 의미한다.
Abstract
Recently, the author showed that the element of the Leontief inverse can be decomposed into four different parts as the final demand, the direct, the technical indirect and the interrelated indirect effects. From the research results above, we have two input requirements matrices and for final demand and output and two output requirements matrices and for final demand and output, respectively. In these four matrices, only the requirements matrices for final demand( and ) have the interrelated indirect effect . The study objectives of this paper can be summarized as follows.(1) We examine the characteristics of the interrelated indirect effect and present a distinct system which describes how there are related to inputs, output, and final demand.(2) We empirically analyze the interindustry differences for different requirements matrices based on the 2000 Input-Output Tables of Korea(Bank of Korea, 2003). The major findings from the analysis are as follows.(1) The Spearman's rank correlation coefficients(SRCC) are calculated at 0.9453 between the direct effect() and the technical indirect effect() among the combinations of effects. This high value(close to 1) implies that the entire priority ranks between the two effects are almost the same throughout the whole sectors of the economy.(2) The direct() and interrelated indirect effects() for sector 10, primary metal products, are 0.7891 and 0.8738 and the technical indirect effect for sector 15, transportation equipment, is 0.8177, which are the most high values among individual effects as shown in Table 1. The sectors 10 and 13, electrical and electronic equipment, are the high impact potential sectors for the impact and sensitivity coefficients, which show us the degree of interindustry linkage effects.
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