基于PCA-DEA的制造业资源配置有效性研究——以天津市为例  

Research on the Effectiveness of Manufacturing Resource Allocation Based on PCA-DEA:A case study of Tianjin

作　　者：刘亮[1] 李斧头 陈麒铭 

机构地区：[1]天津工业大学管理学院,天津300387

出　　处：《西安电子科技大学学报（社会科学版）》2017年第4期11-20,共10页Journal of Xidian University：Social Science Edition

基　　金：天津市哲学社会科学规划研究项目成果(TJGL16-019):供给侧结构性改革下的天津市制造业转型升级创新战略研究

摘　　要：制造业是国民经济的支柱性产业,对我国经济的发展有着重大的影响。资源配置的有效性可以揭示制造业的投入产出状况,从而反应经济运行效率。本文以天津市制造业相关数据为基础,构建基于主成分分析与数据包络分析(PCA-DEA)的两阶段综合评价模型;第一阶段,使用PCA从14个原始指标中获得6个综合指标,其中4个为输入指标和2个为产出指标;第二阶段,将标准DEA模型与具体的综合指标一起使用,进行资源配置有效性的测量,并对PCA-DEA模型的决策单元评估结果进行比较和讨论。最后依据对天津市制造业资源配置测算结果的分析,提出相关的建议,同时也为制造业资源配置研究提供借鉴。Manufacturing industry is a pillar industry in national economy and has a great influence on the economic development of our country. The effectiveness of resource allocation can reveal the input and output situation of the manufacturing industry, thus reflecting the economic efficiency of operation. In this paper, relevant data of Tianjin manufacturing was referenced and a two-stage comprehensive evaluation model based on principal component analysis and data envelopment analysis （PCA-DEA） was built. In the first phase, we used PCA to obtain six comprehensive indicators from 14 original indicators, four of which were input indicators and two output indicators. In the second stage, the standard DEA model is used together with the specific comprehensive index to measure the validity of resource allocation, and the results of PCA-DEA model decision-making unit are compared and discussed. Finally, based on the measurement results of manufacturing resources in Tianjin, the relevant suggestions were put forward, which provide references for further study on manufacturing resource allocation.

关 键 词：资源配置 制造业 主成分分析 数据包络分析 

分 类 号：F407[经济管理—产业经济]