“四维”创新体系协同与地区经济增长质量

摘要:

高质量的经济增长依赖于多主体参与、高效协同的创新体系。在开放经济的背景下，全球化进程拓展了创新主体参与国际合作的广度和深度，“国外”维度理应被纳入至创新体系分析的维度中。基于“政府、产业、科研机构和国外”四维视角，利用信息熵算法和中国科技企业活动数据，本文构建了省级层面创新体系协同度指标，并计量分析了地区创新体系协同度对经济增长质量的影响作用。研究发现：提高创新体系协同度有助于提高地区经济增长质量。而在二维主体协同创新中，过度增加政府的参与度可能会阻碍创新体系在经济增长中的作用。此外，创新体系协同的增长效应主要通过提高创新资源配置效率和增强知识创造和转化两个机制实现；协同度的边际增长效应随着经济增长质量的提高而递减；较差的市场体制环境则会弱化协同创新的促进作用。以上结论对当前中国弥补创新体系机制建设短板和政府职能转变优化具有一定的政策启示。

Abstract:

High-quality economic growth depends on an innovation system with multi-agent participation and efficient coordination.Under the background of open economy, the globalization process expands the scope and depth of innovation subjects'' participation in international cooperation, so the "foreign" dimension should be included in the dimension of innovation system analysis.Based on the four-dimensional perspective of "government, industry, scientific research institutions and foreign countries", using the information entropy algorithm and the activity data of Chinese science and technology enterprises, this paper constructs the index of innovation system coordination degree at provincial level, and analyzes the influence of regional innovation system coordination degree on the quality of economic growth.The results show that improving the coordination degree of innovation system can improve the quality of regional economic growth.However, in 2-D collaborative innovation, excessive increase of government participation may hinder the role of innovation system in economic growth.In addition, the synergistic growth effect of innovation system is mainly realized by improving the efficiency of innovation resource allocation and enhancing knowledge creation and transformation.The marginal growth effect of synergy degree decreases with the improvement of economic growth quality.Poor market system environment will weaken the promotion effect of collaborative innovation.The above conclusions have certain policy implications for China''s current innovation system mechanism construction and the transformation and optimization of government functions.