{"title":"菲律宾地区发展的探索性分析","authors":"Starr Clyde Sebial","doi":"10.2139/ssrn.3503679","DOIUrl":null,"url":null,"abstract":"The Philippines is one of the fast-growing economies in the South-East Asian and the Pacific region. This study considered eight factors: HEI PRC rate, crime rate, education, employment, health, poverty, income, and basic family amenities of the 17 regions of the country, all taken from the year 2012 databases of the Philippine Statistics Authority (PSA), the Philippine Institute for Development Studies (PIDS) and Open Data Philippines. Principal Component Analysis (PCA) generated the indices of the six factors and Cluster Analysis (CA) to group regional similarities. Clustering revealed that ARMM and MIMAROPA Regions have clustered independently, in two individual clusters, while the rest of the 15 regions have clustered in two groups of five and 10. The study revealed that crime, poverty and health mortality rates have generally inverse relationships with HEI PRC percentage performance, employment, education, income and basic housing amenities.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Exploratory Analysis of the Development of Philippine Regions\",\"authors\":\"Starr Clyde Sebial\",\"doi\":\"10.2139/ssrn.3503679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Philippines is one of the fast-growing economies in the South-East Asian and the Pacific region. This study considered eight factors: HEI PRC rate, crime rate, education, employment, health, poverty, income, and basic family amenities of the 17 regions of the country, all taken from the year 2012 databases of the Philippine Statistics Authority (PSA), the Philippine Institute for Development Studies (PIDS) and Open Data Philippines. Principal Component Analysis (PCA) generated the indices of the six factors and Cluster Analysis (CA) to group regional similarities. Clustering revealed that ARMM and MIMAROPA Regions have clustered independently, in two individual clusters, while the rest of the 15 regions have clustered in two groups of five and 10. The study revealed that crime, poverty and health mortality rates have generally inverse relationships with HEI PRC percentage performance, employment, education, income and basic housing amenities.\",\"PeriodicalId\":410291,\"journal\":{\"name\":\"ERN: Analytical Models (Topic)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Analytical Models (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3503679\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Analytical Models (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3503679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Exploratory Analysis of the Development of Philippine Regions
The Philippines is one of the fast-growing economies in the South-East Asian and the Pacific region. This study considered eight factors: HEI PRC rate, crime rate, education, employment, health, poverty, income, and basic family amenities of the 17 regions of the country, all taken from the year 2012 databases of the Philippine Statistics Authority (PSA), the Philippine Institute for Development Studies (PIDS) and Open Data Philippines. Principal Component Analysis (PCA) generated the indices of the six factors and Cluster Analysis (CA) to group regional similarities. Clustering revealed that ARMM and MIMAROPA Regions have clustered independently, in two individual clusters, while the rest of the 15 regions have clustered in two groups of five and 10. The study revealed that crime, poverty and health mortality rates have generally inverse relationships with HEI PRC percentage performance, employment, education, income and basic housing amenities.