摘要
文章基于最小生成树法(MST)对中国2010-2017年30个省份的农业绿色发展指数进行实证分析,运用复杂网络的度中心性与介数中心性识别网络中的重要节点,以MST图示直观展示农业绿色发展潜在的传播路径。结果表明:依据综合度中心性和介数中心性排序,重庆是最具有系统重要性的省份,其次分别是吉林、安徽、天津、山西和内蒙古,这些省份的农业绿色发展具有较强的外部溢出效应,能够带动与之相连的省份的农业绿色发展。网络中节点度中心性越大,MST最长路径长度越短,农业绿色发展在网络中的传播速度越快。同时,位于网络中心的节点比位于网络边缘的节点更具有系统重要性,所面临的农业绿色发展压力或机会也更大。
This paper is based on the minimum spanning tree method(MST) to make an empirical analysis on the agricultural green development index of 30 provinces in China from 2010 to 2017, and then uses the degree centrality and the intermediation centrality of complex networks to identify the important nodes in the network. Finally, the paper utilizes MST diagram to visually present the potential transmission path of agricultural green development. The results show that according to the order of centrality of integration degree and centrality of intermediation number, Chongqing is the most systematically important province, followed by Jilin, Anhui, Tianjin, Shanxi and Inner Mongolia. The agricultural green development of these provinces has a strong external spillover effect, which drives the agricultural green development of the provinces adjacent to them. The greater the centrality of node degree in the network, the shorter the longest path length of MST, and the faster the spread speed of agricultural green development in the network. At the same time, the nodes located at the network center are more systemically important than those located at the edge of the network, and are facing greater pressure or opportunities for green development of agriculture.
作者
刘智
Liu Zhi(College of Economics and Management,Huazhong Agricultural University,Wuhan 430070,China;Tourism Management School,Hunan University of Technology and Business,Changsha 410000,China)
出处
《统计与决策》
CSSCI
北大核心
2020年第7期91-95,共5页
Statistics & Decision
基金
国家社会科学基金资助项目(16BJY024)
教育部人文社会科学研究青年基金项目(18YJCZH112)
湖南省社会科学成果评审委员会项目(XSP19YBC222)。
