区域高技术产业技术创新效率测度与提升路径研究——基于共享投入关联型两阶段DEA模型

Research on Measurement and Promotion Path of Technology Innovation Efficiency of Regional High-tech Industry——Based on Relational Two-stage DEA Model with Shared Inputs

将高技术产业创新过程划分为技术研发和经济转化两个阶段,考虑初始创新投入在两阶段分配、非研发投入及新产品开发费用等因素对创新产出的影响,构建共享投入关联型两阶段DEA模型,并测度了2013~2015创新年度中国大陆30个省份的高技术产业技术创新整体效率与两阶段效率。结果表明:大多数区域高技术产业初始创新投入对研发产出和经济产出均有影响;高技术产业技术创新整体效率与两阶段效率都较低,且各区域创新效率水平差异较大;技术研发效率水平高于整体效率水平,而经济转化效率水平低于整体效率水平。最后,依据高技术产业技术创新两阶段效率及其在整体效率中的权重对各区域进行重分类,有针对性地提出了单边突破式、双向协调式等多条技术创新效率提升路径。

This paper divides the innovation process into the two stages: technology R&D and economic transformation. Considering the impact of initial innovation resources shared in the two stages, non R&D investment and expenditure on new products development on innovation output, it constructs the relational two-stage DEA model with shared inputs. Then the model is used to measure the overall efficiency and the two-stage efficiency of technology innovation of high-tech industries in 30 regions of China during 2013~2015. The results show that the initial innovation investment of regional high-tech industry has an impact on R&D outputs and economic outputs;the overall efficiency and two-stage efficiency of technology innovation of high-tech industries are low, and there is a big gap between regions. The technology R&D efficiency is higher than the overall efficiency, while the economic transformation efficiency is lower than the overall efficiency. At last, according to the two-stage efficiency and their weights in the overall efficiency of technology innovation in high-tech industry, the regions are reclassified. And then this paper puts forward several ways to improve the efficiency of technological innovation, such as unilateral breakthrough, two-way coordination, etc.