{"title":"分析爪哇岛主要城市的贫困情况","authors":"Widhian Hardiyanti, Andi Kartika, S. Wulandari","doi":"10.31289/jkbm.v8i1.6135","DOIUrl":null,"url":null,"abstract":"This study aims to examine and analyze the effect of Literacy Rate (LR) and Gross Regional Domestic Product (GRDP) on Poverty in the Big Cities of Java Island from 2015 to 2019. The population in this study is all people in the poor category in Indonesia. The samples in this study were people who were categorized as poor in the big cities of Java, namely the Special Capital Region of Jakarta, Bandung, Semarang, Surabaya, DIY, and Banten. Data were analyzed using panel data regression (pooled data) with a total sample of 30 data. The data processing tools in this study use Ms. Excel and Eviews no 9. The panel data regression model options include Estimating Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection using Chow Test and Hausmant Test. The results of the two tests recommend researchers use the output of the Fixed Effects Model for hypothesis testing. Results show that the Literacy Rate (LR) has a negative and significant effect on poverty in Big Cities in Java. GDRP doesn’t affect poverty in Big Cities in Java","PeriodicalId":33520,"journal":{"name":"JKBM Jurnal Konsep Bisnis dan Manajemen","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analisis Kemiskinan di Kota Besar Pulau Jawa\",\"authors\":\"Widhian Hardiyanti, Andi Kartika, S. Wulandari\",\"doi\":\"10.31289/jkbm.v8i1.6135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to examine and analyze the effect of Literacy Rate (LR) and Gross Regional Domestic Product (GRDP) on Poverty in the Big Cities of Java Island from 2015 to 2019. The population in this study is all people in the poor category in Indonesia. The samples in this study were people who were categorized as poor in the big cities of Java, namely the Special Capital Region of Jakarta, Bandung, Semarang, Surabaya, DIY, and Banten. Data were analyzed using panel data regression (pooled data) with a total sample of 30 data. The data processing tools in this study use Ms. Excel and Eviews no 9. The panel data regression model options include Estimating Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection using Chow Test and Hausmant Test. The results of the two tests recommend researchers use the output of the Fixed Effects Model for hypothesis testing. Results show that the Literacy Rate (LR) has a negative and significant effect on poverty in Big Cities in Java. GDRP doesn’t affect poverty in Big Cities in Java\",\"PeriodicalId\":33520,\"journal\":{\"name\":\"JKBM Jurnal Konsep Bisnis dan Manajemen\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JKBM Jurnal Konsep Bisnis dan Manajemen\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31289/jkbm.v8i1.6135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JKBM Jurnal Konsep Bisnis dan Manajemen","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31289/jkbm.v8i1.6135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在考察和分析2015年至2019年爪哇岛大城市的识字率(LR)和地区国内生产总值(GRDP)对贫困的影响。这项研究中的人口都是印度尼西亚的穷人。本研究的样本是爪哇大城市的穷人，即雅加达，万隆，三宝垄，泗水，DIY和万丹的特别首都地区。数据分析采用面板数据回归(合并数据)，共30个样本数据。本研究的数据处理工具使用Ms. Excel和Eviews no . 9。面板数据回归模型选项包括估计共同效应模型(CEM)、固定效应模型(FEM)和随机效应模型(REM)。采用Chow检验和Hausmant检验进行模型选择。两个检验的结果建议研究者使用固定效应模型的输出进行假设检验。结果表明，在爪哇的大城市中，识字率(LR)对贫困有显著的负面影响。gdp对爪哇大城市的贫困没有影响
This study aims to examine and analyze the effect of Literacy Rate (LR) and Gross Regional Domestic Product (GRDP) on Poverty in the Big Cities of Java Island from 2015 to 2019. The population in this study is all people in the poor category in Indonesia. The samples in this study were people who were categorized as poor in the big cities of Java, namely the Special Capital Region of Jakarta, Bandung, Semarang, Surabaya, DIY, and Banten. Data were analyzed using panel data regression (pooled data) with a total sample of 30 data. The data processing tools in this study use Ms. Excel and Eviews no 9. The panel data regression model options include Estimating Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection using Chow Test and Hausmant Test. The results of the two tests recommend researchers use the output of the Fixed Effects Model for hypothesis testing. Results show that the Literacy Rate (LR) has a negative and significant effect on poverty in Big Cities in Java. GDRP doesn’t affect poverty in Big Cities in Java
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