产业关联测度方法及其应用问题探析  

Measuring Inter-Industry Lnkage Coefficient and Exploring Relevant Problems

作　　者：杨灿[1] 

机构地区：[1]厦门大学计划统计系

出　　处：《统计研究》2005年第9期72-75,共4页Statistical Research

摘　　要：Various economic coefficients are the foundation of the input-output method.Through direct and complete measure of interindustrial relations,this paper goes into construction,diversity and relationship of the indicators with relevant important coefficients,influence coefficients and inducing coefficients,then elucidates its economic meanings and limitations.This paper calculates relevant indicator value with 1997 Input-Output Table of China,and discusses some problems about its application.It tries to enhance and perfect the application of input-output analysis.This paper concludes:the system of interindustrial relations indices in the Input-Output needs to be improved.In the respect of explaining economic phenomenon,the weighted influence coefficient and weighted inducing coefficient are better than the simple ones,at least are the helpful supplement of the latter.Various economic coefficients are the foundation of the input-output method. Through direct and complete measure of interindustrial relations, this paper goes into construction, diversity and relationship of the indicators with relevant important coefficients, influence coefficients and inducing coefficients, then elucidates its economic meanings and limitations. This paper calculates relevant indicator value with 1997 Input-Output Table of China, and discusses some problems about its application. It tries toenhance and perfect the application of input-output analysis. This paper concludes：the system of interindustrial relations indices in the Input-Output needs to be improved. In the respect of explaining economic phenomenon, the weighted influence coefficient and weighted inducing coefficient are better than the simple ones, at least are the helpful supplement of the latter.

关 键 词：产业关联 重要系数 影响力系数 感应度系数 产业关联分析 测度方法 问题探析 直接消耗系数矩阵 投入产出法 应用 

分 类 号：F326.24[经济管理—产业经济] F822.5