基于PCA降维分析视角的四川省工业主导产业选择研究  

From the Perspective of PCA Dimension Reduction to Study the Choice of Leading Industries in Sichuan Province

作　　者：朱美 杨建安 ZHU Mei;YANG Jianan(School of Economics, Chongqing Technology and Business University, Chongqing 400067, China)

机构地区：[1]重庆工商大学经济学院,重庆400067

出　　处：《工业经济论坛》2018年第1期68-77,共10页Industrial Economy Review

基　　金：重庆工商大学2017年度科研平台开发课题(学生科研创新项目)(编码XT201712)

摘　　要：本文基于罗斯托、筱原以及赫希曼关于主导产业选择评价基准理论,并结合现实情况,采用PCA降维分析(主成分分析)方法,对2015年四川省32个行业包括影响力系数、感应度系数等7个指标进行降维处理,得到了三个公因子,即关联效应因子F1、就业效应因子F2和显性比较优势因子F3,并构建了综合评价模型。实证表明:四川省突出主导产业包括酒、饮料和精制茶制造业,食品制造业以及化学原料和化学制品制造业等,其中,酒、饮料和精制茶制造业的综合评价分值最高,为2.615。最后,进一步分析该地区主导产业的行业分布特征以及优劣势,为更好发挥地区主导产业的带动作用提出了合理化建议。Based on Rostowo,Shinohara and Hirschman's decision on the selection criteria of leading industry and combining with the reality,this paper adopts the PCA dimensionality reduction(Principal Based on Rostowo,Shinohara and Hirschman's decision on the selection criteria of leading industry and combining with the reality,this paper adopts the PCA dimensionality reduction(Principal component analysis)method to reduce the index of the32industries in Sichuan in2015,including influence coefficient and inductance coefficient and other about7indicators,and get three common factors,namely,the correlation effect factor F1,the employment effect factor F2and the explicit comparative advantage factor F3,and construct the comprehensive evaluation model.Empirical studies show that Sichuan's leading industries include wine,beverage and refined tea manufacturing,food manufacturing and chemical raw materials and chemical manufacturing,among which the comprehensive evaluation of wine,beverage and refined tea manufacturing has the highest score of2.615Finally,it further analyzes the distribution characteristics and advantages and disadvantages of the leading industries in the region,and provides rationalization suggestions for better play the leading role of regional leading industries.

关 键 词：产业结构 评价基准 降维分析 主导产业 

分 类 号：F062.9[经济管理—政治经济学]