• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2013, Vol. ›› Issue (4): 537-545.

• 科技发展战略与政策 • 上一篇    下一篇

研发项目对中国大学技术转让合同影响的实证研究——以985工程高校为例

张寒1,胡宗彪2,李正风3   

  1. 1. 清华大学科学技术与社会研究所
    2. 武汉理工大学经济学院
    3. 清华大学科学技术与社会研究中心
  • 收稿日期:2012-08-31 修回日期:2013-01-17 出版日期:2013-04-15 发布日期:2013-04-15
  • 通讯作者: 张寒
  • 基金资助:
    联校教育社科医学研究奖计划

Empirical Measuring the Correlation between R&D Project and the Agreements of Chinese University Technology Transfer——Case study on 985 Project Universities

  • Received:2012-08-31 Revised:2013-01-17 Online:2013-04-15 Published:2013-04-15

摘要: 研发项目和科研经费是高校开展科研活动和技术转让的资源基础。采用教育部内部资料提供的22所“985工程”高校在1998-2010年的面板数据,构建研发项目的综合投入指标、研发项目的类型、科研经费的不同来源、专利活动对技术转移合同数量和合同金额影响的经验分析模型。研究发现,相同变量对合同数量影响的显著性要强于对合同金额的影响;政府资金、企事业单位委托资金和其他资金对技术转让合同数量和金额均没有产生显著的正向作用;专利申请和专利授权量对技术转让合同数量有显著正向影响,但是对合同金额的影响在统计意义上并不显著。研究结果为如何从资源配置的角度提高大学技术转让水平提供了有价值的政策启示。

关键词: 研发项目, 技术转让合同数量, 技术转让合同金额, 985工程大学, R&D project, number of technology transfer contract, revenue of technology transfer contract, 985 Project universities

Abstract: The R&D projects and S&T expenditures would be treated as the resources base for higher education engaged in S&T activities and technology transfer. This study taking unexplored data of 22 “985 Project” universities from the Ministry of Education. We establish empirical model to measuring the impact of R&D inputs of comprehensive indices, R&D projects by type of activities, S&T expenditures by source of funds, patent activities on the number and revenues of technology transfer contracts (TTC and RTC). The research revel that (1) the same indices of R&D inputs has more significant impact on TTC than RTT;(2) S&T expenditure from both government and enterprises have not yet caused positive significant influence on both TTC and RTC;(3) the rapid growth of the number of patent application and granted patent has positive significant influence on TTC, while the positive significant on RTT is not significant. The results provide valuable policy information for improving the technology transfer from the perspective of the optimal allocation of research resources.

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