我国工业企业研发投入对经济增长的作用机制研究
Research on the mechanism of R&D investment in Chinese industrial enterprises on economic growth
付彤杰1
作者信息
- 1. 重庆理工大学经济金融学院,重庆 400054
- 折叠
摘要
基于企业研发创新的决策模型分析,指出企业研发投入带来创新专利产出,进而通过新产品销售收入推动经济增长的作用机制链条,并采用2014-2022 年我国规模以上工业企业研发投入、专利申请数、新产品销售收入和工业经济增长的省级面板数据进行实证分析.研究表明:企业研发投入显著促进创新专利产出;企业创新专利数量提升显著促进新产品销售收入增长;企业新产品销售收入增长显著促进工业经济增长;企业创新专利和新产品销售收入显著提高了企业全要素生产率.上述研究结论有助于更加全面正确地理解企业研发行为对经济增长的促进作用,进一步坚持企业研发创新主体地位,更加有效保护专利权,鼓励企业推出新产品促进全要素生产率提高,对于推动我国经济实现质的有效提升和量的合理增长具有理论和现实意义.
Abstract
This article is based on the decision model analysis of enterprise R&D innovation,pointing out the mechanism of how enterprise R&D investment brings innovation patent output,and then drives economic growth through new product sales revenue.An empirical analysis is conducted using provincial-level panel data on R&D investment,patent applications,new product sales revenue,and industrial economic growth of China's large-scale industrial enterprises from 2014 to 2022.The research shows that:firstly,R&D investment by enterprises significantly promotes the output of innovation patents;secondly,enterprise innovation pa-tents significantly promote new product sales revenue;thirdly,the significant increase in sales revenue of new products by enter-prises promotes industrial economic growth;fourthly,innovation patents and new product sales revenue of enterprises significantly improve their total factor productivity.The above research conclusions contribute to a more comprehensive and correct understand-ing of the role of enterprise R&D in promoting economic growth.They have theoretical and practical significance for further adhe-ring to the main position of enterprise R&D innovation,more effectively protecting patent rights,encouraging enterprises to launch new products to promote the improvement of total factor productivity,and ultimately driving the realization of effective improve-ment in quality and reasonable growth in Chinese economy.
关键词
研发投入/创新/专利产出/经济增长Key words
R&D investment/innovation/patent output/economic growth引用本文复制引用
出版年
2024
NETL
NSTL
万方数据