我国各省对外经贸水平PCA-聚类分析  

PCA-cluster Analysis of Foreign Economic and Trade Level of All Provinces in China

作　　者：褚文杰 磨然 毕贝宁 张俊奇 Chu Wenjie;Mo Ran;Bi Beining;Zhang Junqi(School of Mathematical Science,Mudanjiang Normal University,Mudanjiang 157011,China;School of Computer and Information Technology,Mudanjiang Normal University,Mudanjiang 157011,China)

机构地区：[1]牡丹江师范学院数学科学学院,黑龙江牡丹江157011 [2]牡丹江师范学院计算机与信息技术学院,黑龙江牡丹江157011

出　　处：《黑龙江科学》2023年第13期16-18,22,共4页Heilongjiang Science

基　　金：2018年度黑龙江省教育厅青年培育项目(1353MSYQN 016);2021年度本科高校教育教学改革研究一般项目(SJGY20210898、SJGY20210890);2022年度本科高校教育教学改革研究一般项目(SJGY20220609)。

摘　　要：对2021年我国31个省的对外经贸水平进行综合分析,运用因子分析法将评价指标概括为“3类进出口总额”因子及“外商投资企业投资成本信息”因子,对排序结果进行综合分析,发现广东省、江苏省、上海市在对外经贸水平上起到引领的作用;海南省凭借地域优势,在吸引外商投资中占有一定的优势;其余27个地区,包括大多数内陆城市及西部城市,受地缘等因素对外经贸水平欠佳,应结合地方特色,创新优化对外经贸发展路径,不断提高对外贸易水平。The study comprehensively analyzes foreign economic and trade level of 31 regions in China in 2021,summarizes the evaluation index as the“three types of total import and export”and“investment cost information of foreign-invested enterprises”by factor analysis method,and comprehensively analyzes the ranking result.It is found that Guangdong Province,Jiangsu Province and Shanghai City play a leading role in foreign trade and economy.Hainan Province has a certain advantage in attracting foreign investment by virtue of its geographical advantages.The remaining 27 regions,including most inland and western cities,have poor external economic and trade performance due to geographical factors.It is suggested to combine with local characteristics,innovate and optimize the development path,and continuously improve the level of foreign economic and trade.

关 键 词：对外经贸 因子分析 两步聚类 快速聚类 

分 类 号：F752.8[经济管理—国际贸易]