基于SBM-NDEA模型的我国高专利密集度产业技术创新效率研究

本文结合以创新损耗为表征的非期望产出以及非径向的SMB-NDEA模型对我国高专利密集度产业2005-2015年的技术创新效率进行研究。实证结果表明:(1)我国9大高专利密集度产业大多能保证较高的技术创新效率并能持续创新,特别是“计算机、通信和其他电子设备制造业”及“烟草制造业”长期保持接近效率前沿的高效率;(2)依照不同产业的各网络节点的效率情况可将9大产业聚类,类别内部具有相似的效率节点表征;(3)创新确认节点与经济转化节点的双重低效率会导致高专利密集产业的持续性整体低效。针对以上研究发现,本文从搭建知识产权中介服务平台以及加强技术前瞻性评估等方面为政策制定者和企业管理者提供可参考的建议。

Study of Technology Innovation Efficiency of High Patent Intensity Industry in China Based on SBM-NDEA Model

In this paper, the non-expected output and the non-radial SMB-NDEA model, which is characterized by innovation loss, are used to study the technological innovation efficiency of China’s patent-intensive industry from 2005 to 2015. The empirical results show that: (1)Most of the nine patent-intensive industries in China can guarantee high efficiency of technological innovation and can continue to innovate, especially the “computer, communication and other electronic equipment manufacturing” and “tobacco manufacturing”; (2)According to the efficiency of network nodes, nine industries can be clustered, and between the clusters the characterization of efficiency nodes is similar; (3)the inefficiency of innovation confirmation node and economic transformation node will lead to a sustainability inefficient of high patent-intensive industry as a whole. In view of the above research findings, this article provides reference recommendations for policy makers and business managers from the prospect of establishment of intellectual property intermediary service platform and enhance the technology forward-looking assessment.