SCIENTIA GEOGRAPHICA SINICA ›› 2019, Vol. 39 ›› Issue (2): 173-182.doi: 10.13249/j.cnki.sgs.2019.02.001

• Orginal Article •     Next Articles

Spatial-temporal Pattern and Influencing Factors of China's Innovation Efficiency Based on Innovation Value Chain

Shufeng Liu(), Debin Du(), Xionghe Qin, Chunguang Hou   

  1. Institute for Innovation and Strategic Studies/School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
  • Received:2017-10-31 Revised:2018-01-24 Online:2019-02-10 Published:2019-02-10
  • Supported by:
    National Natural Science Foundation of China (41471108).


From the perspective of the innovation value chain, the innovative process was divided into two stages in this article: knowledge condensation and market transformation. This article analyzes on the overall innovation efficiency, dynamic efficiency evolution and cause in the knowledge condensation stage and market transformation stage on a provincial scale in China from 2008 to 2015 with the methods of network DEA-SBM model, kernel density analysis, natural breaking point and Spatial Panel Econometric Model. We can draw the following conclusions: 1) The overall innovation efficiency, knowledge condensation and market transformation efficiency in China were in the low level with the slower fluctuating rise in the recent years; 2) There were obvious differences between different stages and inter regions. The innovative knowledge condensation efficiency presented a low value cluster, the market transformation efficiency presented a discrete development, and the overall efficiency showed us a double-peak pattern. From east to west, it was generally decreasing step by step in space. Spatial correlation can be seen and spatial spillover effect was remarkable; 3) The level of scientific research team and the support of government policy had a significant positive correlation with innovation efficiency. The continuously increased R&D expenditure depressed the innovation efficiency to a certain extent. While the impacts of degree of marketization development and opening up were not significant. The enterprises lacked of R&D ability; scientific research evaluation system of colleges, universities and research institutes is imperfect and the income distribution of achievement transformation is unreasonable; the investment on basic research is insufficient; the knowledge productivity does not match the market absorption capacity properly. All the above problems are urgently to be solved.

Key words: innovation efficiency, innovation value chain, Network-SBM, Spatial Panel Econometric Model

CLC Number: 

  • K902