高速铁路、认知资本与区域知识创新  

High-Speed Rail,Cognitive Capital and Regional Knowledge Innovation

作　　者：林善浪[1] 邱雨歆 LIN Shan-lang;QIU Yu-xin(School of Economics and Management,Tongji University,Shanghai 200092)

机构地区：[1]同济大学经济与管理学院,上海200092

出　　处：《软科学》2020年第6期102-107,121,共7页Soft Science

基　　金：国家自然科学基金项目(71773083);国家社会科学基金项目(13BJY091)。

摘　　要：基于新经济地理学理论,构建了包含高铁和认知资本的知识创新与扩散模型,在认知资本的视角下探究高速铁路对区域知识创新的影响,并利用全国284个地级及以上城市的面板数据进行实证检验。结果表明:从整体上看,高速铁路和认知资本对区域知识创新均存在显著的正向影响。同时,高铁对我国区域知识创新的提升作用存在明显的认知资本门槛效应。对于认知资本较低的地区而言,高铁推动知识创新的作用更为显著,而对认知资本高的地区来说,高铁带来的交通基础设施的改善对区域知识创新的影响不明显。Based on the theory of new economic geography,this paper constructs a TP model including high-speed rail and cognitive capital to explore the mechanism that high-speed rail affects regional knowledge innovation from a perspective of cognitive capital and use panel data of 284 cities at or above the prefecture level to conduct an empirical test.Results show that high-speed rail and cognitive capital both significantly improve the overall level of regional knowledge innovation.At the same time,the impact of high-speed rail has obvious cognitive capital threshold effect.For regions with lower cognitive cap-ital,the role of high-speed rail to promote knowledge innovation is more significant.However,for regions with higher cogni-tive capital,the improvement of transportation infrastructure brought by high-speed rail has no significant impact on regional knowledge innovation.

关 键 词：高速铁路 知识创新 认知资本 门槛模型 

分 类 号：F532[经济管理—产业经济] F061.5