摘要
文章以西藏七地市为研究对象,选取2014年和2019年为时间截面,借助修正引力模型和社会网络分析方法,分析西藏七地市经济联系的空间结构及演变特征。研究结果表明:西藏整体发展水平落后,各城市间的经济联系强度普遍较小,经济联系强度呈现距离衰减规律。拉萨作为西藏唯一的“增长极”,在整个西藏的经济发展中处于核心地位;西藏整体空间网络结构密度趋于增强态势,但网络密度不高,处于低等水平,城市间经济联系的紧密程度差异较大,总体呈现“中南密西北疏”的特点;经济联系地域分异明显,发展不平衡问题突出;经济联系空间结构上表现为显著的“核心边缘结构”特征,区域内部集群现象较为显著。该研究为促进西藏地区优化空间结构,打破不平衡不充分发展现状具有较强的现实意义。
By applying the modified gravity model and the method of social network analysis,thisarticle analysesthe economic connection and spatial structural evolution of seven prefecture level cities inTibet in 2014 and 2019.The results show that Tibet's overall level of development lags behind,the intensity of economic connection between cities is generally low,and the intensity shows a clear law of distance-decay.Lhasa,as the only"growth pole"in Tibet,is at the heart of Tibet's economic development.The structure density of the overall spatial network of Tibet tends to enhance,but the network density is not high and ata low level.Moreover,the closeness degree of economic connection is different between cities.In general,the characteristics of network spatial structure is that closeness degree of the economic connection between the cities in southern and central areas is high,but that of the cities in northern and western areas is low.Thus,there are obvious regional differences in economicconnection,and the problem of unbalanced development is prominent.The spatial structure of economic connection is characterized by"core-edge structure",and the phenomenon of regional inner cluster is remarkable.The study is of great practical significance in promoting the optimization of the spatial structure of Tibet and breaking the unbalanced and inadequate development.
作者
孔少华
朱红艳
KONG Shao-hua;ZHU Hong-yan(School of Economics and Management,Tibet University,Lhasa,Tibet 850000)
出处
《西藏大学学报(社会科学版)》
CSSCI
北大核心
2021年第4期139-148,共10页
Journal of Tibet University
基金
西藏大学科研项目“喜马拉雅区域发展协同创新中心(援藏政策研究)”(项目号:ZFYJY201901016)
西藏大学民族特色文化创意产业发展研究实验室建设项目阶段性成果。
关键词
经济联系
社会网络分析
引力模型
空间结构
economic connection
social network analysis
gravity model
spatial structure