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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 电子政务模拟仿真国家地方联合工程研究中心主任
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:信息与决策技术研究所
电子邮箱:yzwang@dlut.edu.cn
基于三阶段仁慈型DEA的产业集群研发效率评价
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发表时间:2017-01-01
发表刊物:科研管理
卷号:38
期号:7
页面范围:54-61
ISSN号:1000-2995
摘要:In recent years,R&D efficiency has aroused wide concern among researchers,but few studies have involved the R&D efficiency of industry clusters.This paper selects internal R&D expenditure and number of R&D personnel as an input,and number of invention patents authorization is chosen as an output.Then this paper proposes the three-stage benevolent DEA model considering cooperation between decision-making units and calculates the R&D efficiencies of 10 industrial clusters during 2008 -2012.The results verify the feasibility of the model and show that:(1) R&D efficiencies have increased obviously after the environmental factors and random factors are eliminated;(2) urban per capita GDP and number of graduates have a significant positive impact on the input redundancy of internal R&D expenditure and number of R&D personnel.The proportion of government R&D funds in urban total R&D expenditure has a positive influence in the input redundancy of internal expenditure of R&D while it has a negative influence in the number of R&D personnel.
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