A Research on the trend of Total Amount and Structure of China Knowledge Innovation

Biao-hang Ma, Xun-gang Zheng


This article analyzes the tendency of total amount and structure of China knowledge innovation in the recently 18 years through the logarithm model, it discovers that the GDP has a relatively role in promoting the knowledge innovation, whereas the total population does not significantly positive impact on knowledge innovation. Based on the economic convergence theory of neoclassical growth theory and the classification of different subjects, this article establishes a theoretical analysis framework using dynamic panel data and discovers that the disciplinary differences of knowledge innovation presents σ-convergence, while the knowledge innovation presents absolute β-convergence in the medium and long term. Finally, this paper gives some advices for the sustainable development of the knowledge innovation.

Keywords: Knowledge Innovation, Logarithm Model, Dynamic Panel Data, Convergence

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DOI: https://doi.org/10.5296/ijld.v3i4.4138


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