摘要
基于探索性空间数据分析(exploratory spatial data analysis,ESDA)和空间误差模型,在知识生产函数的框架下,本文探讨了2005年以来中国高技术产业技术创新能力的空间分布差异及其影响因素.结果表明:中国省域高技术产业创新能力存在显著的空间集聚效应和空间溢出效应; R&D资本存量、人力资本是促进高技术产业创新能力的决定因素;跨国条件下的四种溢出机制对高技术产业技术创新的作用效果不同;产业专业化对创新产出存在显著的促进作用,而产业集聚度的抑制作用并不显著.
Based on exploratory spatial data analysis and spatial error model,it analyzed the spatial distribution differences of technological innovation capability of China s high-tech industries from 2005 and its influencing factors under the framework of knowledge production function.The results show that spatial agglomeration effect and spatial spillover effect of China s high-tech industry innovation capability are significant.R&D capital stock and human capital play decisive roles in promoting high-tech industry innovation capability.The effects of the four spillover mechanisms on technological innovation of high-tech industries are different under the transnational condition.Industrial specialization has positive impact on innovation,but the inhibitory effect of industrial agglomeration is not significant.
作者
邱士雷
王子龙
杨琬琨
董会忠
QIU Shi-lei;WANG Zi-long;YANG Wan-kun;DONG Hui-zhong(College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing211106, China;College of Economics, Shandong University of Technology, Zibo255000, China;College of Management, Shandong University of Technology, Zibo255000, China)
出处
《研究与发展管理》
CSSCI
北大核心
2018年第6期128-137,共10页
R&D Management
基金
国家自然科学基金资助项目"风电技术装备协同创新的实现机制与政策设计研究"(71373005)
教育部人文社会科学基金资助项目"重大技术装备协同创新的政策设计研究"(15YJAZH093)
江苏省高校社会科学重点项目"经济新常态下区域环境治理的政策设计研究"(2016ZDIXM006)
关键词
高技术产业
R&D
空间集聚效应
空间溢出效应
high-tech industry
R&D
spatial clustering effect
spatial spillover effect
