中国省域协同创新效率的实证研究

The Empirical Study of China's Provincial Synergy Innovation Efficiency

创新是引领发展的第一动力,协同创新更是推进我国各省产业转型升级的内生动力,以2002~2012年中国30个省级行政区的面板数据为样本,分别应用DEA模型和四阶段DEA模型实证研究中国各省域协同创新效率。研究表明:在两种模型的测评结果中,中国省域协同创新效率均表现出明显的区域差异和周期波动。其中,东部省域协同创新效率最高,西部省域协同创新效率最低;全国省域协同创新效率波动较为平稳,西部上升较快;市场化结构和对外开放程度是提高协同创新效率的有利环境因素,而政府支持力度则为不利的环境因素,对协同创新效率没显著影响的则是经济发展水平和工业结构这两个因素;全国的协同效率值在受到控制环境的影响后会有所下降,其原因是规模效率下降效应大于技术效率上升效应,中西部表现为较大的技术效率和较小的规模效率,而东部两个指标正好相反。

Innovation is the first driving force for development, and collaborative innovation is the driving force for the transformation and upgrading of China＇s provincial industries. Based on the panel data of 30 provincial-level administrative regions in China from 2002 to 2012, the DEA model and the four-stage DEA model are applied to study the collaborative innovation efficiency of China＇s provinces. The study shows that in the evaluation results of the two models, the coopera- tion innovation efficiency of China^s provinces shows obvious regional differences and periodic fluctuation. Among them, the eastern province is the most efficient in collaborative innovation, and the western province has the lowest efficiency in collaborative innovation. The coordinated innovation efficiency of national provinces is stable and the west is rising fast. Market structure and the degree of opening to the outside world are favorable for improving the efficiency of collaborative innovation environment factors, while government support for adverse environmental factors, does not significantly influ- ence the efficiency of collaborative innovation is the level of economic development and industrial structure of the two factors; Collaborative efficiency values across the country would fall after the influence of control environment, because a decline in the efficiency of scale effect is greater than the technical efficiency rise effect, in the Midwest technical efficiency is great and its size is small, while in the east two indicators are contrary.