运筹与管理 ›› 2016, Vol. 25 ›› Issue (1): 215-223.DOI: 10.12005/orms.2016.0027

• 应用研究 • 上一篇    下一篇

制造业技术创新效率评价模型及其应用研究

向小东, 陈丽芬   

  1. 福州大学 经济与管理学院,福建 福州 350108
  • 收稿日期:2013-07-04 出版日期:2016-02-25
  • 作者简介:向小东(1973-),男,四川广安人,博士,硕士生导师,主要从事管理科学与工程方面的研究。
  • 基金资助:
    福建省软科学项目(2014R0054)

Research on Technology Innovation Efficiency Evaluation Model of Manufacturing Industries and Its Application

XIANG Xiao-dong, CHEN Li-fen   

  1. School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
  • Received:2013-07-04 Online:2016-02-25

摘要: 从技术创新系统的内部过程出发,将制造业技术创新过程划分为技术研究与开发、技术应用与改造、环境污染治理三个阶段;然后运用虚拟系统法构建出制造业三阶段链式网络DEA交叉效率评价模型,并利用熵值法来确定交叉效率矩阵中各决策单元的权重,再通过加权求和法计算最终评价值;最后将此模型应用于福建省制造业技术创新效率的评价中。研究表明,福建省制造业各行业的技术创新效率,无论是整个技术创新系统,还是技术创新系统的各个子阶段,其交叉效率值普遍偏低,具有较大的提升空间。

关键词: 制造业, 技术创新效率评价, 网络DEA, 交叉效率, 熵值法

Abstract: Based on the internal process of technology innovation system,the technology innovation process of manufacturing industry is divided into three stages: technology research and development, technology application and transformation as well as environmental pollution control. And then the virtual system method is introduced to construct series network DEA cross-evaluation model. In addition, we apply the entropy method to determine the weight of each decision-making unit in the cross efficiency matrix, and adopt the weighted sum method to compute the final evaluation value. Finally, this model is applied to evaluate the technology innovation efficiency of manufacturing industry in Fujian province. The research suggests that the technology innovation cross efficiency values of manufacturing industry in Fujian province are generally low, including the overall cross efficiency and cross efficiencies of three sub-stages. Therefore there is still much room for improving the efficiencies.

Key words: manufacturing industries, technology innovation efficiency evaluation, network DEA, cross efficiency, entropy approach

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