| 伍 丹.基于大数据背景的中国区域经济协调性聚类分析研究[J].全球科技经济瞭望,2020,35(1):55~59 |
| 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 Chinabased on Big Data |
| 投稿时间：2019-12-25 修订日期：2019-12-25 |
| DOI：：10.3772/j.issn.1009-8623.2020.01.010 |
| 中文关键词: 聚类分析；区域经济；大数据 |
| 英文关键词: cluster analysis; regional economy; big data |
| 基金项目: |
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| 摘要点击次数: 2086 |
| 全文下载次数: 1501 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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