粤港澳大湾区对外贸易高质量发展的聚类分析

Shuang Zhang
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引用次数: 0

摘要

——以粤港澳大湾区11个地区2018年对外贸易发展数据为基础,建立外贸高质量发展指标体系。结合弯头法则和轮廓系数法,得到了11个地区的对外贸易质量分类,并利用k-means聚类算法对11个地区的对外贸易高质量发展水平进行了分类。研究粤港澳大湾区11个区域对外贸易高质量发展的差异,分析差异产生的原因,并提出相应的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cluster Analysis on the High Quality Development of Foreign Trade in Guangdong-Hong Kong-Macao Greater Bay Area
- Based on the foreign trade development data of 11 regions in the Guangdong-Hong Kong-Macao Greater Bay Area in 2018, to establish a system of indicators for high-quality development of foreign trade. Combining the elbow rule and contour coefficient method, the foreign trade quality classification of 11 regions is obtained, and the k-means clustering algorithm is used to classify the high-quality development level of foreign trade in 11 regions. The differences in the high-quality development of foreign trade in 11 regions of the Guangdong-Hong Kong-Macao Greater Bay Area are studied, and the reasons for the differences are analyzed and appropriate suggestions are given.
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