• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2017, Vol. 35 ›› Issue (8): 1155-1166.

• 科技发展战略与政策 • 上一篇    下一篇

我国知识资本生产特征及其对经济增长的影响

张静1,王宏伟2,2   

  1. 1. 中国科协创新战略研究院
    2.
  • 收稿日期:2016-12-12 修回日期:2017-04-24 出版日期:2017-08-15 发布日期:2017-08-23
  • 通讯作者: 张静

The Empirical Analysis of Promotion Effect of Chinese Intellectual Capital on Economic Growth

  • Received:2016-12-12 Revised:2017-04-24 Online:2017-08-15 Published:2017-08-23

摘要: 以专利为代表的我国知识资本高速增长,是否具备支撑经济长期增长的潜力,是否能对经济增长产生显著的促进作用,成为各界广泛关注的焦点,也是本文研究的核心问题。本文基于内生经济增长理论中关于知识生产函数的设定,测算了1996年-2014年我国30个省份以专利为代表的知识资本生产函数,认为目前我国知识资本存量的内生积累效应仍不明显,尚不具备突破经济增长约束、推动经济长期增长的能力。进一步地,本文采用参数回归和半参数回归方法,分时间区间测算了不同增速水平下知识资本对经济增长的促进作用。结果表明,随着专利制度的逐步完善,专利存量对经济增长的促进作用将逐渐凸显;在知识积累的过程中,当知识资本增速过高,超过了技术转化和市场接受的范围,其对经济增长的促进作用有限;而以发明专利为代表的高质量知识资本增加,则表现出对经济增长的明显促进作用。因此,本文建议我国专利制度和相关科技创新政策,应加强专利的审查和监督,提高专利质量;弱化政策追求专利数量的干预,确立市场配置地位;突出专利成果转化的重要性,形成产学研协同创新网络。

Abstract: Whether the high-speed growth of patent calculated knowledge capital really have the potential to boost long-run economic growth and whether it has significant and positive effect on real economic growth are two main problems concerned by scholars and discussed in this paper. Based on assumptions of knowledge production function promoted by Romer and Jones in endogenous growth theory, this paper estimates parameters of the knowledge production function using Chinese knowledge capital calculated by granted patents in 30 provinces during 1996 and 2014. We find that the endogenous accumulation of knowledge capital has not been strong enough to breakthrough the long-run economic growth rate constrains and support Chinese economy to grow at such high speed in the long run. In addition, this paper estimates the actual promotion effect of knowledge capital on real GDP growth using fixed-effect semi-parametric method in different time periods. We find that with patent system perfecting knowledge capital will effectively boost economic growth. And the high speed growth of knowledge capital has limited promotion effect. Once the knowledge capital grow too fast for the patent transformation capacity, knowledge capital do little to promote economic growth. Knowledge capital calculated by invention patents, which represent high quality part of knowledge set, appears to boost economic growth more significantly than patents in the whole. We suggest that, the intellectual property policies should emphasis more on the quality rather than the quantity of patents to reinforce the effect of knowledge endogenous accumulation. The government should reduce intervention policy which focus on short-term patent quantity growth and emphasis more on market resource allocation mechanism. We should highlight the importance of patents commercialization and industrialization by formulating the co-operation innovation network.