Determinasi Tingkat Kemiskinan di Sumatera Selatan Tahun 2019-2022

Aliyah Aisyiyah Mirrahma, Msy Aziza Septiani, Maya Panorama
{"title":"Determinasi Tingkat Kemiskinan di Sumatera Selatan Tahun 2019-2022","authors":"Aliyah Aisyiyah Mirrahma, Msy Aziza Septiani, Maya Panorama","doi":"10.21927/jesi.2023.13(1).144-156","DOIUrl":null,"url":null,"abstract":"Poverty is a multidimensional problem related to economic, political, social, cultural, and community participation. This is evidenced by the increasing trend of the number of people living below the poverty line. The main trigger of poverty in Indonesia is the inequality of economic distribution or what is known as economic justice. Whereas all religions prohibit economic monopoly actions that cause injustice and order their people to give charity (zakat) and cooperate evenly. With the aim of reducing the poverty rate of the community even though we still often hear of hunger and hardship for some humans. This means that the welfare that is expected and aspired to has not been realized for people's lives. According to BPS 2022 data, South Sumatra is included in the top 10 with high poverty rates. Therefore, this study aims to determine, explain and analyze the factors that affect the Percentage of Poor Population (PPM) in South Sumatra for the period 2019-2022. This research method uses panel data regression method with individual unit observations as many as 17 districts / cities of South Sumatra province in a four-year period from 2019 to 2022. This study uses one response variable, namely PPM and four explanatory variables, namely the unemployment rate (TPT), average years of schooling (RLS), GRDP per capita, and human development index (HDI). The results of this study show that the fixed effect model with two-way specific effects is the best model of the panel data poverty rate. Variables that have a significant effect are GRDP. RLS. and HDI","PeriodicalId":284504,"journal":{"name":"JESI (Jurnal Ekonomi Syariah Indonesia)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JESI (Jurnal Ekonomi Syariah Indonesia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21927/jesi.2023.13(1).144-156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Poverty is a multidimensional problem related to economic, political, social, cultural, and community participation. This is evidenced by the increasing trend of the number of people living below the poverty line. The main trigger of poverty in Indonesia is the inequality of economic distribution or what is known as economic justice. Whereas all religions prohibit economic monopoly actions that cause injustice and order their people to give charity (zakat) and cooperate evenly. With the aim of reducing the poverty rate of the community even though we still often hear of hunger and hardship for some humans. This means that the welfare that is expected and aspired to has not been realized for people's lives. According to BPS 2022 data, South Sumatra is included in the top 10 with high poverty rates. Therefore, this study aims to determine, explain and analyze the factors that affect the Percentage of Poor Population (PPM) in South Sumatra for the period 2019-2022. This research method uses panel data regression method with individual unit observations as many as 17 districts / cities of South Sumatra province in a four-year period from 2019 to 2022. This study uses one response variable, namely PPM and four explanatory variables, namely the unemployment rate (TPT), average years of schooling (RLS), GRDP per capita, and human development index (HDI). The results of this study show that the fixed effect model with two-way specific effects is the best model of the panel data poverty rate. Variables that have a significant effect are GRDP. RLS. and HDI
贫困是一个涉及经济、政治、社会、文化和社区参与的多维问题。生活在贫困线以下的人数呈增加趋势就是证明。印尼贫困的主要诱因是经济分配的不平等,也就是所谓的经济公正。然而,所有的宗教都禁止造成不公正的经济垄断行为,并命令他们的人民给予慈善(天课)和平均合作。目的是降低社区的贫困率,尽管我们仍然经常听到一些人的饥饿和困难。这意味着人们生活中所期望和渴望的福利并没有实现。根据BPS 2022年的数据,南苏门答腊是贫困率最高的10个国家之一。因此,本研究旨在确定、解释和分析影响2019-2022年南苏门答腊贫困人口百分比(PPM)的因素。本研究方法采用面板数据回归方法,对南苏门答腊省17个区/市进行了2019 - 2022年4年的单单位观测。本研究使用一个响应变量PPM和四个解释变量,分别是失业率(TPT)、平均受教育年限(RLS)、人均GRDP和人类发展指数(HDI)。研究结果表明,具有双向特异效应的固定效应模型是面板数据贫困率的最佳模型。有显著影响的变量是GRDP。RLS。和人类发展指数
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信