当代财经 ›› 2022, Vol. 0 ›› Issue (7): 38-51.

• 公共经济与管理 • 上一篇    下一篇

政府研发资助、互联网发展与中国创新效率

任跃文   

  1. 成都市社会科学院 经济研究所,四川 成都 610011
  • 收稿日期:2021-08-09 修回日期:2022-06-17 出版日期:2022-07-15 发布日期:2022-09-09
  • 作者简介:任跃文,成都市社会科学院助理研究员,博士,主要从事政府治理、技术创新研究,联系方式973906264@qq.com。
  • 基金资助:
    四川省社会科学规划项目“四川产业数字化转型统计测度与收敛性研究”(SC21TJ010); 成都市哲学社会科学规划项目“成都都市圈发展中的政府作用研究——基于要素流动的视角”(YY0520210577); 成都市社会科学院青年项目“绿色技术创新驱动成都制造业转型升级机理与路径研究”(YJ20211028002)

Government R&D Funding, Internet Development and China's Innovation Efficiency

REN Yue-wen   

  1. Institute of Economics, Chengdu Academy of Social Sciences, Chengdu 610011, China
  • Received:2021-08-09 Revised:2022-06-17 Online:2022-07-15 Published:2022-09-09

摘要: 自创新驱动发展战略和“互联网+”战略实施以来,中国政府对如何有效发挥研发资助和互联网作用来提高创新效率开展了积极探索。利用2006—2018年省级面板数据,考察了政府研发资助、互联网发展对中国创新效率的影响。研究发现:政府研发资助、互联网发展对创新效率均存在显著的促进效应,且政府研发资助对企业比对科研机构的效果更强,互联网发展对上述资助效果均呈现显著的正向调节效应和门槛效应。当互联网发展跨过一定门槛后,政府研发资助效果均扭转为显著的促进效应,且政府对企业比对科研机构研发资助效果对应门槛值更低且效果更强。因此,建议加大政府研发资助尤其是对企业的资助力度,并注重对科研机构提供长期稳定研发资助;积极提升互联网发展水平,缩小各地区互联网发展差距;加快推进互联网与创新要素的融合渗透,有效营造政产学研互联互通环境,充分发挥互联网平台效应。

关键词: 政府研发资助, 互联网发展, 创新效率, 面板门槛模型

Abstract: Since the implementation of the innovation-driven development strategy and the“Internet Plus”strategy, the Chinese government has actively explored how to give effective play to R&D funding and the Internet so as to improve innovation efficiency. By making use of the provincial panel data from 2006 to 2018, this paper examines the impact of government R&D funding and Internet development on the innovation efficiency in China. The results show that both government R&D funding and Internet development have significant promoting effects on the innovation efficiency, and the government R&D funding has a stronger effect on enterprises than on research institutions. The Internet development has a significant positive moderating effect and threshold effect on the above funding effects. When the Internet development crosses a certain threshold, the effects of government R&D funding all turn into a significant promotion effect, and the threshold value of government R&D funding to enterprises is lower and the effect is stronger than that to research institutions. The above conclusions are consistent in different regions, especially in coastal areas. Therefore, it is suggested to increase government R&D funding, especially for enterprises, and pay attention to providing long-term and stable R&D funding for research institutions; actively upgrade the level of Internet development and narrow the gap in Internet development among different regions; accelerate the integration and penetration of the Internet with innovation factors, effectively create an interconnected environment for government, industry, universities, and research institutes, and give full play to the effect of the Internet platforms.

Key words: government R&D funding, internet development, innovation efficiency, panel threshold model

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