基于大数据背景的中国区域经济协调性聚类分析研究  

Cluster Analysis of Regional Economic Coordination in China based on Big Data

作　　者：伍丹[1] WU Dan(College of Economics,Trade and Information Technology,Changsha Polytechnic,Changsha 410127)

机构地区：[1]长沙职业技术学院经济贸易与信息技术学院,长沙410127

出　　处：《全球科技经济瞭望》2020年第1期55-59,共5页Global Science，Technology and Economy Outlook

摘　　要：改革开放以来,我国在经济建设和社会发展方面都交出了令人满意的答卷,但由于历史、地理等各方面原因,我国的经济发展十分不平衡,一些东部沿海地区的年度GDP是西部落后地区的数十倍,同时各省一级行政区经济水平和与之对应的金融生态系统不匹配现象十分普遍。本文以2018年我国内陆地区各省一级行政区经济发展状况为研究对象,分析了造成区域经济发展不平衡的宏观因素和微观因素,并用聚类的方法分析了区域经济的协调性,将各省一级行政区经济分为8类,最后根据分类结果给出了发展区域经济的建议。Since the reform and opening up,China has presented satisfactory answers in terms of economic construction and social development.However,due to historical and geographical reasons,China’s economic development is very unbalanced.The annual GDP of some eastern coastal regions is dozens of times of that of the western backward areas.At the same time,the mismatch between the economic level of each province-level region and its corresponding financial ecosystem is very common.This paper takes the economic development of inland province-level region in 2018 as the research object,analyzes the macro and micro factors that cause the imbalance of regional economic development,and the coordination of regional economy with the method of clustering.The province-level region economy is divided into eight categories.Finally,according to the classification results,the suggestions for the development of regional economy are given.

关 键 词：聚类分析 区域经济 大数据 

分 类 号：F279.2[经济管理—企业管理] F832.48[经济管理—国民经济]