摘要
在京津冀协同发展上升至国家战略的背景下,基于复合系统协同度模型,从创新投入、创新产出、高等教育与环境保障等三个子系统选取23个序参量分量,使用动态因子赋权法构建京津冀高等教育协同创新测度指标,从协同水平的动态变化和影响因素两个方面进行实证研究。结果表明:津、冀两地创新产出能力不足是导致京津冀协同水平上升缓慢的主要原因;教育支出、第三产业比例、对外开放程度和技术市场水平会显著影响京津冀各地方内部协同创新水平;而京津冀整体高等教育协同创新水平易受政府政策的影响,对产业结构则并不敏感。由此,京津冀地区应不断强化人才、教育、资源共享机制并优化各区域分工合作,加大对河北地区的政策倾斜,共建高协同水平的京津冀科技创新共同体。
Under the background of the coordinated development of Beijing-Tianjin-Hebei region of the national strategy,based on the composite system synergy model,this paper selects 23 order parameter components from three subsystems of innovation input,innovation output and higher education environmental protection,and uses the dynamic factor weighting method to construct the measurement index of collaborative innovation of higher education in Beijing-Tianjin-Hebei,and conducts an empirical study from the two levels of dynamic changes of synergy level and the influencing factors.The results show that the deficiency of innovation output capacity in Tianjin and Hebei is the main reason for the slow rise of coordination level in Beijing-Tianjin-Hebei region.Education expenditure,proportion of tertiary industry,degree of openness and technical market level will significantly influence the level of collaborative innovation within The Beijing-Tianjin-Hebei region.However,the synergetic innovation level of higher education in Beijing-Tianjin-Hebei is vulnerable to government policy,and not sensitive to industry structure.Therefore,The Beijing-Tianjin-Hebei region should constantly strengthen the mechanism of sharing talents,education and resources,optimize regional division of labor and cooperation,increase the policy preference to Hebei region,and build a high-synergetic Beijing-Tianjin-Hebei scientific and technological innovation community.
作者
高扬
李杨洋
GAO Yang;LI Yang-yang(Beijing University of Technology,Beijing 100124,China)
出处
《黑龙江高教研究》
北大核心
2023年第10期52-59,共8页
Heilongjiang Researches on Higher Education
基金
北京市教育科学“十三五”规划青年专项课题“京津冀区域高等教育协同创新测度及政策量化评价研究”(编号:AACA19018)。
关键词
京津冀
高等教育协同创新
复合系统协同度模型
动态因子赋权
影响因素
Beijing-Tianjin-Hebei
collaborative innovation of higher education
composite system synergy model
dynamic factor weighting
influence factors