创新价值链视角的创新投入结构与全要素生产率分析
发布时间：2019-03-29 19:50
【摘要】：创新投入是提高生产率的重要途径,而不同类型的创新投入对一国生产率改善的作用存在差异性。学理上的解释需深入研究创新活动的内部反应机制。从创新价值链视角将创新活动分为基础研究、应用研究和试验发展。基于研发资本存量的测算,构建反映创新投入结构与全要素生产率之间关系的理论模型,并以经合组织(OECD)23个国家2000-2013年的面板数据为样本,检验创新投入结构对生产率的异质性影响。结果表明:从时间维度来看,试验发展活动对当期全要素生产率增长具有显著的正效应,应用研究和基础研究功效的发挥存在一定时滞,且基础研究的滞后期更长;从影响程度来看,基础研究的偏效应最大,应用研究偏效应短期内为负值,而试验发展的作用虽然非常迅速,但其对生产率的带动效果相对较弱;就全要素生产率分解来看,基础研究和应用研究分别对技术效率和规模效率的偏效应最大,试验发展对全要素生产率三部分都有显著的正效应。因此,改善我国创新投入结构时应充分重视基础研究的投入和积累,以发挥其在促进生产率中的核心地位和长效作用。
[Abstract]:Innovation input is an important way to improve productivity, and there are differences in the effect of different types of innovation investment on a country's productivity improvement. The theoretical explanation requires in-depth study of the internal response mechanism of innovation activities. From the perspective of innovation value chain, innovation activities are divided into basic research, applied research and experimental development. Based on the measurement of R & D capital stock, this paper constructs a theoretical model reflecting the relationship between innovation input structure and total factor productivity (TFP), and takes the panel data of 23 OECD countries from 2000 to 2013 as a sample. To test the heterogeneity effect of innovation input structure on productivity. The results show that, from the perspective of time, experimental development activities have a significant positive effect on the growth of total factor productivity in the current period, and there is a certain delay in the performance of applied research and basic research, and the lag period of basic research is longer; In terms of the degree of influence, the partial effect of basic research is the largest, and the partial effect of applied research is negative in a short period of time, while the effect of experimental development is very rapid, but its driving effect on productivity is relatively weak. In terms of total factor productivity decomposition, basic research and applied research have the largest partial effect on technical efficiency and scale efficiency respectively, and experimental development has significant positive effects on three parts of TFP. Therefore, we should pay full attention to the input and accumulation of basic research when improving the structure of innovation input in our country, so as to play its core position and long-term effect in promoting productivity.
【作者单位】： 南京财经大学产业发展研究院;
【基金】：国家自然科学基金青年项目“适宜性创新模式选择与全要素生产率:基于创新价值链与空间外溢视角”(批准号:71403115,项目负责人:余泳泽) 江苏省社会科学基金项目“江苏现代服务业结构化路径研究”(批准号:13JDB012,项目负责人:余泳泽) 中国博士后基金特别资助项目“中国式分权、适宜性创新模式与全要素生产率提升”(批准号:2015T80176,项目负责人:余泳泽) 江苏高校哲学社会科学基金资助项目“创新价值链外溢视角下苏南苏北差异性创新模式及实施路径研究”(批准号:2016SJB790013,项目负责人:余泳泽)
【分类号】：F124.3
[Abstract]:Innovation input is an important way to improve productivity, and there are differences in the effect of different types of innovation investment on a country's productivity improvement. The theoretical explanation requires in-depth study of the internal response mechanism of innovation activities. From the perspective of innovation value chain, innovation activities are divided into basic research, applied research and experimental development. Based on the measurement of R & D capital stock, this paper constructs a theoretical model reflecting the relationship between innovation input structure and total factor productivity (TFP), and takes the panel data of 23 OECD countries from 2000 to 2013 as a sample. To test the heterogeneity effect of innovation input structure on productivity. The results show that, from the perspective of time, experimental development activities have a significant positive effect on the growth of total factor productivity in the current period, and there is a certain delay in the performance of applied research and basic research, and the lag period of basic research is longer; In terms of the degree of influence, the partial effect of basic research is the largest, and the partial effect of applied research is negative in a short period of time, while the effect of experimental development is very rapid, but its driving effect on productivity is relatively weak. In terms of total factor productivity decomposition, basic research and applied research have the largest partial effect on technical efficiency and scale efficiency respectively, and experimental development has significant positive effects on three parts of TFP. Therefore, we should pay full attention to the input and accumulation of basic research when improving the structure of innovation input in our country, so as to play its core position and long-term effect in promoting productivity.
【作者单位】： 南京财经大学产业发展研究院;
【基金】：国家自然科学基金青年项目“适宜性创新模式选择与全要素生产率:基于创新价值链与空间外溢视角”(批准号:71403115,项目负责人:余泳泽) 江苏省社会科学基金项目“江苏现代服务业结构化路径研究”(批准号:13JDB012,项目负责人:余泳泽) 中国博士后基金特别资助项目“中国式分权、适宜性创新模式与全要素生产率提升”(批准号:2015T80176,项目负责人:余泳泽) 江苏高校哲学社会科学基金资助项目“创新价值链外溢视角下苏南苏北差异性创新模式及实施路径研究”(批准号:2016SJB790013,项目负责人:余泳泽)
【分类号】：F124.3
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