Knowledge spillovers analysis on interregional innovative behaviors based on spatial measurement

Abstract

Abstract: Innovation and knowledge accumulation are the important factors to promote technological progress and economic growth. The knowledge production function characterizes the relationship between R&D inputs and outputs. With the framework of the knowledge production function, the knowledge stock influence of local and the rest regions is considered. By using both spatial lag model and spatial error model, a regression analysis on the knowledge spillovers of interregional innovation behaviors for the 31 provinces in China is conducted. The results indicate that firstly, R&D expenditures have a significant positive effect on the regional knowledge production; meanwhile the relation between R&D personnel full time equivalent and knowledge production is insignificant. Secondly, the relation between knowledge stock and regional knowledge production is significant. Local knowledge stock has a positive effect on knowledge production; however other regions’ knowledge stock has a negative effect. Thirdly, regional innovation activities in China have shown a strong trend of spatial aggregation. According to the research results, several proposals are put forward for interregional innovation.

Key words: knowledge spillover, regional innovation, knowledge production function, spatial econometric model

CLC Number:

F064.1

Li Zhihong, Wang Na, Ma Qian. Knowledge spillovers analysis on interregional innovative behaviors based on spatial measurement[J]. Science Research Management, 2013, (6): 9-16.

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