摘要
将国际知识溢出分为外商直接投资(FDI)和进口贸易双渠道,采用2007~2018年中国27个省(市、自治区)高技术产业的面板数据,利用门槛面板回归模型,以研发人力资本为门槛变量,实证探讨双渠道国际知识溢出对高技术产业创新绩效的非线性影响。研究表明:FDI和进口贸易双渠道国际知识溢出对高技术产业创新绩效的影响,均显著存在以研发人力资本为双重门槛的非线性特征;随着研发人力资本门槛值的提高,FDI知识溢出和进口贸易知识溢出对高技术产业创新绩效的促进效应均先降后升;高技术企业规模和交通基础设施水平对高技术产业创新绩效的影响均显著为正。
This study divides international knowledge spillover into dual channels of foreign direct investment(FDI)and import trade.Then it constructs threshold panel regression models by using the panel data of 27 provincial high-tech industries in China during 2007~2018,taking R&D human capital as the threshold variable,and empirically analyzes the nonlinear effect of dual-channel international knowledge spillover on the innovation performance of high-tech industry.The results show that:The impact of the dual-channel international knowledge spillover of foreign direct investment and import trade on the innovation performance of high-tech industry has significant nonlinear characteristics with R&D human capital as the dual threshold.With the improvement of the threshold of R&D human capital,the promotion effects of foreign direct investment and import trade knowledge spillover on the innovation performance of high-tech industry both first descend and then rise.The scale of high-tech enterprises and the level of transportation infrastructure have significantly positive impacts on the innovation performance of high-tech industry.
作者
李盛楠
许敏
林周周
LI Shengnan;XU Min;LIN Zhouzhou(Nanjing Tech University,Nanjing,China;Soochow University,Suzhou,Jiangsu,China)
出处
《管理学报》
CSSCI
北大核心
2021年第9期1354-1362,共9页
Chinese Journal of Management
基金
国家社会科学基金资助重点项目(19AGL009)。
关键词
外商直接投资
进口贸易
研发人力资本
创新绩效
foreign direct investment
import trade
R&D human capital
innovation performance