Study on Chinese Regional Innovation Efficiency and Its Influencing Factors──Based on Spatial Filtering and SFA with Heterogeneous Effect
Liping Wu
Abstract
Liping Wu
Abstract
According to data of Chinese regional technological innovation during 1999—2008,and based on the spatial filtering and panel cointegration theory and the stochastic frontier model with heterogeneous effect,Chinese regional innovation efficiency and its influencing factors are studied,reaching the conclusions that,there exists significant spatial correlation among variables in Chinese regional innovation for which spatial filtering can be used to eliminate such impact so as to analyze with cointegration model;considering regional heterogeneous effect,the parameter estimation of SFA model is more accurate,so the calculation of the technical efficiency is more applicable;the space distribution of Chinese regional technology innovation is featured by high efficiency in the east,intermediate in the central,and low in the west;and regional infrastructure and regional market openness are major factors influencing the technological innovation efficiency.
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According to data of Chinese regional technological innovation during 1999—2008,and based on the spatial filtering and panel cointegration theory and the stochastic frontier model with heterogeneous effect,Chinese regional innovation efficiency and its influencing factors are studied,reaching the conclusions that,there exists significant spatial correlation among variables in Chinese regional innovation for which spatial filtering can be used to eliminate such impact so as to analyze with cointegration model;considering regional heterogeneous effect,the parameter estimation of SFA model is more accurate,so the calculation of the technical efficiency is more applicable;the space distribution of Chinese regional technology innovation is featured by high efficiency in the east,intermediate in the central,and low in the west;and regional infrastructure and regional market openness are major factors influencing the technological innovation efficiency.
Key concepts: Openness to experience, Cointegration, Stochastic frontier analysis, Frontier, Panel data, Economic geography, Space (punctuation), Econometrics