摘要
我国大科学工程经过60多年的发展,取得了斐然的成绩。文章尝试运用信息熵,对大科学工程的空间分布及其发展演化进行测度。计算表明,大科学工程在空间分布上总体呈现均衡态势,在时间序列上的演化发展分三个阶段,呈现从均衡到收敛再到均衡的格局。局部来看,大科学工程地理集聚效应日益明显,但集聚区域的演化发展呈现不同的格局。研究认为:对于目前发展均衡的集聚区域,要进一步加强设施间的系统促进作用,形成学科互补、协同发展的格局;对于处于收敛或者不均衡格局的区域,应进一步增加大科学工程的学科多样性,充分释放区域资源优势,促进集群中大科学工程之间协同关系的建立。大科学工程的合理布局是其充分释放动能的前提和基础,文章为深入研究大科学工程提供了一种分析方法和视角,以使这一复杂的研究对象能够从更加客观、理性的角度被宏观决策层及微观执行层理解与认识。
In China,during 60 years of development,large-scale research facilities( " LRF" for short) has made brilliant achievements. The current study tries to measure and analyze the evolution situation in time and spatial series of Chinese LRF by using the Information Entropy. The conclusion indicates that the layout of LRF is balanced considering its spatial distribution and its evolution can be further divided into three stages in time series with a pattern of " balance-convergence-balance". From a local point of view,geographic concentration effect becomes more and more obvious,but it presents different patterns in the evolution of the regional development. For those regions with balanced developing LRFs,the developing strategy is to further strengthen the interrelationship between different LRFs to form a discipline complementary and coordinated development atmosphere. For those with LRFs in a state of convergence and unbalance,the diversity of LRFs has to be increased,the advantages of regional resources have to be released and cooperative relations have be promoted. The reasonable layout of LRFs is the premise and foundation for a well utilization and it has to be enhanced. The current paper tries to provide a new analysis method for the research of LRF in order to make the macro policy makers and the micro executive level understand LRF,a highly complex system,objectively and rationally and eventually promote a environmental friendly atmosphere for its development.
出处
《科学学研究》
CSSCI
CSCD
北大核心
2017年第12期1796-1805,共10页
Studies in Science of Science
基金
国家自然科学基金资助项目(J1424016)
关键词
大科学工程
信息熵
演化发展
地理集聚
large-scale research facilities
information entropy
evolution
geographic concentration effect