{"title":"2013-2022年影响日惹特别省市县贫困水平的社会经济因素分析","authors":"None Triwiyanti, None Suci Rahmawati Prima","doi":"10.33830/isbest.v3i1.1347","DOIUrl":null,"url":null,"abstract":"The problem of poverty is complex. The existence of this complexity conduces the need for countermeasures programs which are integrated and do not overlap. Nowadays, the government is still attempting to continue eradicating poverty. The percentage of poverty in DIY currently is the highest in Java and the value is above the national poverty average. The purpose of this research is to analyze what factors which influence poverty in districts/cities in DIY. This research applied the panel data regression test with the dependent variable poverty and the independent variables TPT, RLS, UMK, and UHH. The panel data used is five regencies/cities in DIY and used data from 2013-2022. The selected model is FEM. The statistical test result indicates that the variables UMK, TPT, and RLS have a significant effect on poverty. However, UHH has no significant effect.","PeriodicalId":500639,"journal":{"name":"Proceeding of The International Seminar on Business Economics Social Science and Technology (ISBEST)","volume":"5 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Social Economic Factors Affecting Poverty Levels in Districts and Cities in the Special Province of Yogyakarta in 2013-2022\",\"authors\":\"None Triwiyanti, None Suci Rahmawati Prima\",\"doi\":\"10.33830/isbest.v3i1.1347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of poverty is complex. The existence of this complexity conduces the need for countermeasures programs which are integrated and do not overlap. Nowadays, the government is still attempting to continue eradicating poverty. The percentage of poverty in DIY currently is the highest in Java and the value is above the national poverty average. The purpose of this research is to analyze what factors which influence poverty in districts/cities in DIY. This research applied the panel data regression test with the dependent variable poverty and the independent variables TPT, RLS, UMK, and UHH. The panel data used is five regencies/cities in DIY and used data from 2013-2022. The selected model is FEM. The statistical test result indicates that the variables UMK, TPT, and RLS have a significant effect on poverty. However, UHH has no significant effect.\",\"PeriodicalId\":500639,\"journal\":{\"name\":\"Proceeding of The International Seminar on Business Economics Social Science and Technology (ISBEST)\",\"volume\":\"5 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding of The International Seminar on Business Economics Social Science and Technology (ISBEST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33830/isbest.v3i1.1347\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of The International Seminar on Business Economics Social Science and Technology (ISBEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33830/isbest.v3i1.1347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Social Economic Factors Affecting Poverty Levels in Districts and Cities in the Special Province of Yogyakarta in 2013-2022
The problem of poverty is complex. The existence of this complexity conduces the need for countermeasures programs which are integrated and do not overlap. Nowadays, the government is still attempting to continue eradicating poverty. The percentage of poverty in DIY currently is the highest in Java and the value is above the national poverty average. The purpose of this research is to analyze what factors which influence poverty in districts/cities in DIY. This research applied the panel data regression test with the dependent variable poverty and the independent variables TPT, RLS, UMK, and UHH. The panel data used is five regencies/cities in DIY and used data from 2013-2022. The selected model is FEM. The statistical test result indicates that the variables UMK, TPT, and RLS have a significant effect on poverty. However, UHH has no significant effect.
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