扬子江城市群人流、物流、资金流协同性测度
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摘要
在对扬子江城市群的要素状况和经济状况进行综合分析的基础上,引入要素流协同度测量模型,通过有序度计算,测定复杂系统中各子系统要素变化的有序程度,再通过各子系统的有序度,计算出复杂系统的整体协同度。计算结果显示,扬子江城市群要素流整体协同度偏低,尤其2010—2013年,协同度数值为负,表明人流、物流子系统明显落后于当地发展要求,而资金流子系统发展比较稳定,呈现快速持续增长态势。
On the basis of the comprehensive analysis of the factors and economic conditions of Yangtze River urban agglomeration,this paper introduces the measurement model of factor flow coordination degree.Through the calculation of order degree,the order degree of the elements changes in each subsystem of complex system is determined,and then the overall coordination degree of complex system is calculated by the order degree of each subsystem.The results show that the overall coordination of factor flow in Yangtze River urban agglomeration is low,especially in 2010—2013,the synergy value is negative,which shows that the subsystems of human flow and logistics flow are obviously behind the local development requirements,while the subsystem of capital flow is relatively stable,showing a rapid and sustainable growth trend.
On the basis of the comprehensive analysis of the factors and economic conditions of Yangtze River urban agglomeration,this paper introduces the measurement model of factor flow coordination degree.Through the calculation of order degree,the order degree of the elements changes in each subsystem of complex system is determined,and then the overall coordination degree of complex system is calculated by the order degree of each subsystem.The results show that the overall coordination of factor flow in Yangtze River urban agglomeration is low,especially in 2010—2013,the synergy value is negative,which shows that the subsystems of human flow and logistics flow are obviously behind the local development requirements,while the subsystem of capital flow is relatively stable,showing a rapid and sustainable growth trend.
引文
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[4]张宏乔.流空间视角下的城市网络特征分析——以中原城市群为例[J].资源开发与市场,2016,32(10):1218-1222.
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[6]蒋例利,王定祥,苏婉茹.财政金融服务与新型农业经营体系构建的协同性研究[J].重庆大学学报(社会科学版),2018,24(1):34-45.
[2]陈晨,修春亮.流空间视角的东北地区城市网络研究[J].地域研究与开发,2014,33(4):82-86.
[3]叶磊,段学军,欧向军.基于交通信息流的江苏省流空间网络结构研究[J].地理科学,2015,35(10):1230-1235.
[4]张宏乔.流空间视角下的城市网络特征分析——以中原城市群为例[J].资源开发与市场,2016,32(10):1218-1222.
[5]于杰.中国的“人流”成就了“物流”[J].特区经济,2014(1):206-207.
[6]蒋例利,王定祥,苏婉茹.财政金融服务与新型农业经营体系构建的协同性研究[J].重庆大学学报(社会科学版),2018,24(1):34-45.