{"title":"基于贸易总额时间序列数据的东南亚国家聚类研究","authors":"Afrimayani, A. Ahmad, H. Yozza, D. Devianto","doi":"10.1515/9783110678666-032","DOIUrl":null,"url":null,"abstract":"ASEAN total trade is an instrument to provide a brief description of the development of trade in each ASEAN country. In order to realize a cohesive and integrated ASEAN economy through the free flow of goods trade in 2025.The hierarchical cluster method for times series data of total trade is used to grouping ASEAN countries into three groups with strong similarities and characteristics to the annual total trade in goods from 2008-2017 from the ASEAN Statistical Yearbook 2018. The cluster analysis by distance corresponding to time series data is performed. The first cluster consist of Brunei Darussalam, Indonesia, Singapore, Malaysia, and Thailand which had a high enough total trade among other ASEAN countries. The second cluster consists of the Philippines. Furthermore, the third cluster consists of Cambodia, Vietnam, Laos, and Myanmar. The second cluster has medium total trade and the third cluster has a fairly low total trade compared to other ASEAN countries. The performance total trade clustering in ASEAN countries is expected to be able to see the situation of the development of goods trade in ASEAN countries, this situation must be considered by ASEAN policies in increasing trade in goods.","PeriodicalId":424710,"journal":{"name":"The International Conference on ASEAN 2019","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE CLUSTERING OF SOUTHEAST ASIA COUNTRIES BASED ON TIME SERIES DATA OF TOTAL TRADE\",\"authors\":\"Afrimayani, A. Ahmad, H. Yozza, D. Devianto\",\"doi\":\"10.1515/9783110678666-032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ASEAN total trade is an instrument to provide a brief description of the development of trade in each ASEAN country. In order to realize a cohesive and integrated ASEAN economy through the free flow of goods trade in 2025.The hierarchical cluster method for times series data of total trade is used to grouping ASEAN countries into three groups with strong similarities and characteristics to the annual total trade in goods from 2008-2017 from the ASEAN Statistical Yearbook 2018. The cluster analysis by distance corresponding to time series data is performed. The first cluster consist of Brunei Darussalam, Indonesia, Singapore, Malaysia, and Thailand which had a high enough total trade among other ASEAN countries. The second cluster consists of the Philippines. Furthermore, the third cluster consists of Cambodia, Vietnam, Laos, and Myanmar. The second cluster has medium total trade and the third cluster has a fairly low total trade compared to other ASEAN countries. The performance total trade clustering in ASEAN countries is expected to be able to see the situation of the development of goods trade in ASEAN countries, this situation must be considered by ASEAN policies in increasing trade in goods.\",\"PeriodicalId\":424710,\"journal\":{\"name\":\"The International Conference on ASEAN 2019\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Conference on ASEAN 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/9783110678666-032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Conference on ASEAN 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/9783110678666-032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
THE CLUSTERING OF SOUTHEAST ASIA COUNTRIES BASED ON TIME SERIES DATA OF TOTAL TRADE
ASEAN total trade is an instrument to provide a brief description of the development of trade in each ASEAN country. In order to realize a cohesive and integrated ASEAN economy through the free flow of goods trade in 2025.The hierarchical cluster method for times series data of total trade is used to grouping ASEAN countries into three groups with strong similarities and characteristics to the annual total trade in goods from 2008-2017 from the ASEAN Statistical Yearbook 2018. The cluster analysis by distance corresponding to time series data is performed. The first cluster consist of Brunei Darussalam, Indonesia, Singapore, Malaysia, and Thailand which had a high enough total trade among other ASEAN countries. The second cluster consists of the Philippines. Furthermore, the third cluster consists of Cambodia, Vietnam, Laos, and Myanmar. The second cluster has medium total trade and the third cluster has a fairly low total trade compared to other ASEAN countries. The performance total trade clustering in ASEAN countries is expected to be able to see the situation of the development of goods trade in ASEAN countries, this situation must be considered by ASEAN policies in increasing trade in goods.