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基于社会网络分析的长江经济带绿色发展水平研究
引用本文:杨丰潞,杨高升. 基于社会网络分析的长江经济带绿色发展水平研究[J]. 水利经济, 2020, 38(4): 15-20
作者姓名:杨丰潞  杨高升
作者单位:河海大学工程管理研究所,江苏 南京 211100;河海大学工程管理研究所,江苏 南京 211100
摘    要:从经济发展、环境保护与社会进步的角度,根据城市绿色发展评价初选指标集,并结合R聚类-变异系数法,定量地筛选指标,从而建立科学全面的城市绿色发展水平评价指标体系。利用社会网络分析方法中的中心性概念建立基于社会网络分析的城市绿色发展评价模型,对2016年长江经济带主要城市的绿色发展水平和各个领域的单项实力从整体评价、梯度分布和空间格局3个维度进行了比较分析。研究结果表明,长江经济带各城市的绿色发展状况存在较大的区域差异,各个城市特色鲜明。最后,有针对性地提出了相应的对策建议。

关 键 词:长江经济带  绿色发展  R聚类变异系数  社会网络分析
收稿时间:2019-10-18

Green development level of Yangtze River Economic Belt based on social network analysis
YANG Fenglu,YANG Gaosheng. Green development level of Yangtze River Economic Belt based on social network analysis[J]. Journal of Economics of Water Resources, 2020, 38(4): 15-20
Authors:YANG Fenglu  YANG Gaosheng
Affiliation:Institute of Engineering Management, Hohai University, Nanjing 211100, China
Abstract:From the perspective of economic development, environmental protection and social progress, the evaluation index set of urban green development is preliminary selected. A scientific and comprehensive index system for the urban green development level is established by using the methods of R-cluster and coefficient of variation and quantitatively selecting the index set. The central concept of the social network analysis method is used to establish the evaluation model, and the level of green development in the major cities along Yangtze River Economic Belt in 2016 and the individual strength in various fields are analyzed. The results show that there are great regional differences in the green development of cities along Yangtze River Economic Belt. The comparative analysis is carried out from three dimensions of general evaluation, gradient distribution and spatial distribution, and the characteristics of each city are distinct. Finally, some policy suggestions are put forward.
Keywords:Yangtze River Economic Belt   green development   R-cluster and coefficient of variation   social network analysis
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