Determinan Tingkat Kemiskinan Di Indonesia

Prayoga Setiawan, Masruri Muchtar, Pardomuan Robinson Sihombing
{"title":"Determinan Tingkat Kemiskinan Di Indonesia","authors":"Prayoga Setiawan, Masruri Muchtar, Pardomuan Robinson Sihombing","doi":"10.54957/jolas.v4i1.688","DOIUrl":null,"url":null,"abstract":"Poverty is a problem in the development process in most countries, especially in developing countries such as Indonesia. Analyzing the factors that influence poverty is important in formulating effective and targeted policies. This study aims to analyze the independent variables of village funds, unemployment rate, human development index (HDI), and gross regional domestic product (GRDP) affecting the dependent variable of the number of poor people in Indonesia in 2022. The study used the Ordinary Least Square (OLS) model to analyze cross-section data from 34 provinces in Indonesia in 2022.  The results show that village funds and GRDP have a significant positive influence on the number of poor people, but HDI and unemployment rate do not have a significant influence. The findings make a significant contribution to understanding the factors that contribute to the poverty rate in Indonesia, as well as providing a basis for formulating more effective development policies to reduce the poverty rate in the future.","PeriodicalId":237917,"journal":{"name":"Journal of Law, Administration, and Social Science","volume":" 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Law, Administration, and Social Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54957/jolas.v4i1.688","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 problem in the development process in most countries, especially in developing countries such as Indonesia. Analyzing the factors that influence poverty is important in formulating effective and targeted policies. This study aims to analyze the independent variables of village funds, unemployment rate, human development index (HDI), and gross regional domestic product (GRDP) affecting the dependent variable of the number of poor people in Indonesia in 2022. The study used the Ordinary Least Square (OLS) model to analyze cross-section data from 34 provinces in Indonesia in 2022.  The results show that village funds and GRDP have a significant positive influence on the number of poor people, but HDI and unemployment rate do not have a significant influence. The findings make a significant contribution to understanding the factors that contribute to the poverty rate in Indonesia, as well as providing a basis for formulating more effective development policies to reduce the poverty rate in the future.
印度尼西亚贫困水平的决定因素
贫困是大多数国家,尤其是印度尼西亚等发展中国家发展过程中的一个问题。分析影响贫困的因素对于制定有效和有针对性的政策非常重要。本研究旨在分析村级基金、失业率、人类发展指数(HDI)和地区国内生产总值(GRDP)等自变量对 2022 年印尼贫困人口数量这一因变量的影响。研究采用普通最小二乘法(OLS)模型分析了 2022 年印尼 34 个省的横截面数据。 结果显示,村级基金和 GRDP 对贫困人口数量有显著的正向影响,但 HDI 和失业率的影响并不显著。研究结果对理解印尼贫困率的成因有重要贡献,也为未来制定更有效的发展政策以降低贫困率提供了依据。
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