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采用人工神经网络和普通最小二乘回归结合的方法,从全国层面以及东、中、西三大地区层面对地理邻近和认知邻近在合成型和解析型知识基础产业创新中的作用进行实证检验,得出地理邻近对合成型知识基础产业创新呈正效应显著的半倒“U”型影响,作用强度高于认知邻近的弱正向效应;地理邻近对解析型知识基础产业创新呈狭窄倒“U”型影响,作用强度低于认知邻近的平缓倒“U”型影响;东部地区两种知识基础产业创新中地理邻近初现饱和甚至抑制效应;中部地区合成型知识基础产业创新中地理和认知邻近正效应突出,解析型知识基础产业创新中地理和认知邻近效应为显著倒“U”型;西部地区两种知识基础产业认知邻近极其缺乏,对创新的影响不显著。
Using the combination of artificial neural network and ordinary least squares regression, this paper empirically tests the function of geographical proximity and cognitive proximity in the innovation of synthetic and analytic knowledge-based industries from the national level as well as the three major regions of East, , It is concluded that geographical proximity has a significant positive effect on the innovation of synthetic knowledge-based industries with a semi-inverted “U ” type of impact, with a stronger intensity than the weak positive effect of cognitive proximity; geographical proximity has a narrow innovation in analytical knowledge-based industries In the eastern region, the geographical proximity of the two kinds of knowledge-based industries innovated or even inhibited. The synthetic knowledge of the central region The positive effect of geography and cognition is prominent in the innovation of basic industries. The geo-cognitive proximity effect of the industrial innovation in analytical-based industries is significantly inverted. The two kinds of knowledge-based industries in the western region have an extremely lack of cognitive proximity. The impact of innovation is not significant.