摘要
利用灰色关联度分析方法,以京津冀区域10年的统计数据为样本,从创新资源投入、创新支撑环境、对外学习交流能力和技术成果转化能力四个方面分析影响因素对三地创新能力的影响程度。研究表明:不同的因素对于各地的影响强弱程度不同,针对地区间的共性和差异提出适合京津冀区域创新发展的措施至关重要。
Based on ten-year statistical data in Beijing-Tianjin-Hebei region, this paper investigates how innovation resources, environmental innovation support, international exchange and communication competency and commercialization of technological achievements impact regional innovation capability from the perspective of the grey relation analysis model. The research results show that these factors have influenced different regions to a different degree. The paper stresses that it is essential to propose appropriate and targeted measures for Beijing-Tianjin-Hebei region innovation development as per shared and distinctive features within the region.
作者
赵艳华
赵士雯
ZHAO Yanhua ZHAO Shiwen(Business SchooI,Tianjin University of Finance and Economics, Tianjin 300222, Chin)
出处
《大连理工大学学报(社会科学版)》
CSSCI
2017年第1期94-99,共6页
Journal of Dalian University of Technology(Social Sciences)
基金
天津市科技发展战略研究计划项目:“京津冀协同创新网络构建研究”(14ZLZLZF00044)
关键词
京津冀
区域创新能力
灰色关联度
Beijing-Tianjin-Hebei
regional innovation capability
grey relation analysis