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出 处:《中国科技论坛》2017年第1期47-52,68,共7页Forum on Science and Technology in China
基 金:国家社科基金重大项目"高铁快速发展背景下区域经济协调发展及相关政策研究"(11&ZD159)
摘 要:本文构建反映邻近性的区域创新产出SAR模型,运用1998—2013年大陆地区除西藏外的30个省区市面板数据,分析地理邻近、经济邻近、技术邻近和交通邻近四种邻近下创新空间溢出对区域创新的影响。结果表明:空间溢出是影响区域创新的重要因素,四种邻近性均对空间溢出产生了显著的促进作用,其中,交通邻近的作用最大,技术邻近次之,地理邻近居第三位,经济邻近的作用最小。因此,各区域在实施创新驱动发展战略时,需要充分重视利用空间溢出来增强本区域的创新,可以根据不同的邻近性针对性地制定吸收其他区域创新溢出的政策。The strength of the spatial spillover effect of innovation is closely related to the proximity between different regions. The pur- pose of this paper is to analyze the effect of spatial spillovers on the innovative capacity of 30 provinces in China's Mainland ( except for Tibet) from 1998 to 2013 by constructing the spatial autoregressive model. In particular, this paper examines in detail different kinds of proximity by combining the usual geographical proximity with the economic, technological and transportation proximity. The empirical results show that : the effect of spatial spillovers on regional innovation is very important and significant ; each kind of proximity plays a significant role in promoting the spatial spillovers. Transportation proximity outperforms the rest, followed by the technological proximi- ty, and then the geographical one, the least important role is played by economic proximity. Then, all provinces in China need to pay full attention to enhance regional innovation by taking advantage of the spatial spillovers when implementing the strategy of innovation- driven development. Furthermore, according to the different kinds of proximity, all provinces in China can formulate specific innovation policies to better absorb the spatial spillovers from other regions.
分 类 号:F061.5[经济管理—政治经济学]
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