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중국지역연구 Vol.3 No.2 pp.61-83 https://www.doi.org/
中国行政区域划分研究 — 基于聚类分析与支持向量机方法的讨论 —
高昊 经济学博士, 西南政法大学经济学院副教授
崔俊富 经济学博士, 南京航空航天大学经济与管理学院博士后
Key Words : Administrative Region,Region Policy,Cluster Analysis,Support Vector Machine,Adjust

Abstract

Any economic and social activities are inseparable from a specific area, and in different regions often mean different development policies. China attaches great importance to the division of the region to a certain area in order to develop targeted policies. Currently, all provinces in China are divided into eastern, central, and western regions, 11 provinces in eastern region, 12 provinces in western region, and 8 provinces in central region. Since the founding, especially since the reform and opening up, China's regional policy has undergone so many alternates between comprehensive development and focusing development, each policy adjustments have had a significant impact on the development of the relation region. Compared to the current administrative division, this article uses clustering methods to classify China provinces, and support vector machine for testing. The study found that three regions administrative division of China currently used cannot adapt to the actual development of the current situation, we must make the appropriate adjustments in order to provide a basis for the development of more targeted regional policy.
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