Research On The Measurement Of National Innovative Capacity Based-on The Optimization Of Efficiency

This dissertation studies the measurement of national innovative capacity based on efficiency optimization, with a focus on the influential factors analysis on national innovative efficiency. Endogenous growth theories, national innovation system theories, as well as the national intellectual capital theories are employed to redefine the innovative capacity and innovative efficiency, and to construct an innovative efficiency model based on knowledge. Besides, data envelopment analysis is employed to compare the innovative efficiency of the BRICS and 30 OECD member countries. Through a multi-analysis method including the factor analysis and regression analysis, etc. the theory structure of the innovative efficiency is verified and the conclusions are:Firstly, through the comparison of innovation efficiency, it is revealed that the developed countries and emerging countries vary in their innovation efficiency developing pattern. Developed countries prevail in R&D efficiency while developing countries perform better in transfer efficiency. Namely, developed countries focus more on the production of new knowledge represented by scientific paper and patents, while the developing countries concentrate more on the transfer process from the knowledge to the market value.Furthermore, this paper divides the national innovation efficiency into several phases including the R&D efficiency, transfer efficiency and fully-developed efficiency phases. Using the factors in the efficiency theory structure based on knowledge as the independent variable, regression analysis is implemented on the above efficiency phases and the results illustrate that different phases of efficiency can be explained by a certain variable in the theory structure.Thirdly, influencing factors on different efficiency phases vary. R&D efficiency is dominantly influenced by the indicators as intellectual property protection, antitrust, personal broadband users, etc. which compose the infrastructure capital. Meanwhile, the transfer efficiency phase is not only influenced by the above factors, but also the indicators like patent accumulation, openness of trade which are components of knowledge accumulation and spillover capital. Fully-developed efficiency phase in turn is influenced by factors both of the infrastructure capital and of knowledge accumulation. Lastly, the dissertation introduces the results in public scientific literacy studies into the construction of the innovation efficiency theory structure, and includes the science attitude in the innovation cultural capital of the structure. The relationship between this attitude with innovation efficiency is studied and through the regression analysis, it is proven that there is a significant influence of some indicators of science attitude on the innovation efficiency.