科研管理 ›› 2014, Vol. 35 ›› Issue (6): 56-67.

• 论文 • 上一篇    下一篇

创新型城市技术创新投资效率的测度方法研究:基于创新过程的视角

寇明婷1,5, 陈凯华2, 高霞3, 杨利锋4   

  1. 1. 山西大同大学商学院, 山西 大同 037009;
    2. 中国科学院科技政策与管理科学研究所, 北京 100190;
    3. 内蒙古大学经济管理学院, 内蒙古 呼和浩特 010021;
    4. 中国科学技术大学管理学院, 安徽 合肥 230026;
    5. 中国科学院大学管理学院, 北京 100190
  • 收稿日期:2011-09-20 修回日期:2011-11-01 出版日期:2014-06-25 发布日期:2014-06-23
  • 作者简介:寇明婷(1981- ),女,山西应县人,博士,副教授,主要研究方向为科技金融与货币政策。
    陈凯华(1980- ),男,山东郓城人,博士,副研究员,主要研究方向为创新管理科学、创新计量学、创新发展政策学。
    高 霞(1976- ),女,内蒙古乌海人,博士,副教授,主要研究方向为科技管理与科学计量学。
    杨利锋(1982- ),男,河北行唐人,博士研究生,主要研究方向为技术管理与产业创新发展。
  • 基金资助:

    教育部人文社会科学研究青年基金项目(13YJC790062);国家自然科学基金青年科学基金项目(71103173、71103078);国家软科学研究计划面上项目(2013GXS4B087);中国科学院科技政策与管理科学研究所重大研究任务(A类项目)子课题(Y201121Z03)。

The study of theories and methods for the efficiency measurement of technological innovation investments in innovative cities:From an innovation-process perspective

Kou Mingting1,5, Chen Kaihua2, Gao Xia3, Yang Lifeng4   

  1. 1. School of Business, Shanxi Datong University, Datong 037009, Shanxi, China;
    2. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
    3. School of Economics and Management, Inner Mongolia University, Hohhot 010021, Inner Mongolia, China;
    4. School of Management, University of Science and Technology of China, Hefei 230026, Anhui, China;
    5. School of Management, University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2011-09-20 Revised:2011-11-01 Online:2014-06-25 Published:2014-06-23

摘要: 面向技术创新投资建设过程,构建测度创新型城市技术创新投资建设过程效率的分阶段测度指标体系,并引入网络数据包络分析构建适应网络状技术创新投资转化过程、不受专家偏好影响且可充分考虑参评城市间测度指标重要性差异的创新型城市技术创新投资建设过程效率的非参数测度模型。构建的测度框架能区分并系统性地考虑创新型城市技术创新投资建设过程的两阶段——技术研发和技术转化,全面地考虑技术研发和技术转化间生产技术的差异性、生产关系的关联性以及中间要素参与等特点,提供更加准确的测度。测度模型的计算结果可有助于发现创新型城市投资建设过程中生产无效的来源,使得面向创新型城市投资建设过程的系统性与差异性创新政策的制定成为可能。

关键词: 创新型城市, 技术创新投资效率, 监测指标, 效率和无效, 网络数据包络分析

Abstract: This article presents a phased measurement indicator system for the construction efficiency of technological innovation investment in innovative cities based on the technological innovation investment process of innovative cities. Subsequently, this article proposes a structural data envelopment analysis (DEA) technique to model the technological innovation investment process with a network transformation structure. The measurement framework is not subject to the preference of experts, and fully takes into account across-city difference in the importance of measures indicators. Our measurement framework discriminates the two-stage transformation of the technological innovation investment process: technological research/development and technological applications. Furthermore, our measurement framework systematically takes into account the difference of production technologies, the relevance of production relationship between technological research/development and technological applications, and the participation of intermediate production factors. The calculated results from our measurement model helps in exploring the sources of inefficiency in the construction process, and facilitates the development of systematic and differential innovation policies of one innovative city.

Key words: innovative cities, efficiency of technological innovation investment, system of monitoring indicators, efficiency and inefficiency, network data envelopment analysis

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