分析东努萨省贫困率

F. Nalle, Sirilius Seran, Fransiskus Bria
{"title":"分析东努萨省贫困率","authors":"F. Nalle, Sirilius Seran, Fransiskus Bria","doi":"10.33059/jseb.v13i2.4962","DOIUrl":null,"url":null,"abstract":"Various policy packages from the local government are currently being activated to reduce the spike in poverty rates in the Province of East Nusa Tenggara. This is because this province is still classified as the poorest province in Indonesia. Realizing this, the aim of this research is to find out the dominant factors that influence the high number of poor people in NTT Province. In an effort to answer research problems, the analytical tool used is panel data analysis where the number of analysis units or cross section data is all districts/cities in NTT Province as many as 22 districts while for time series data starting from 2018-2021. The results of data analysis show that either partially or simultaneously, each independent variable, namely economic growth, the human development index and also the number of residents has proven to have a significant influence on the number of poor people in NTT Province.","PeriodicalId":235844,"journal":{"name":"Jurnal Samudra Ekonomi dan Bisnis","volume":"158 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analisis Determinan Kemiskinan Propinsi Nusa Tenggara Timur\",\"authors\":\"F. Nalle, Sirilius Seran, Fransiskus Bria\",\"doi\":\"10.33059/jseb.v13i2.4962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various policy packages from the local government are currently being activated to reduce the spike in poverty rates in the Province of East Nusa Tenggara. This is because this province is still classified as the poorest province in Indonesia. Realizing this, the aim of this research is to find out the dominant factors that influence the high number of poor people in NTT Province. In an effort to answer research problems, the analytical tool used is panel data analysis where the number of analysis units or cross section data is all districts/cities in NTT Province as many as 22 districts while for time series data starting from 2018-2021. The results of data analysis show that either partially or simultaneously, each independent variable, namely economic growth, the human development index and also the number of residents has proven to have a significant influence on the number of poor people in NTT Province.\",\"PeriodicalId\":235844,\"journal\":{\"name\":\"Jurnal Samudra Ekonomi dan Bisnis\",\"volume\":\"158 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Samudra Ekonomi dan Bisnis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33059/jseb.v13i2.4962\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Samudra Ekonomi dan Bisnis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33059/jseb.v13i2.4962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

目前正在启动地方政府的各种政策一揽子计划,以减少东努沙登加拉省贫困率的飙升。这是因为这个省仍然被列为印尼最贫穷的省份。意识到这一点,本研究的目的是找出影响NTT省大量贫困人口的主要因素。为了回答研究问题,使用的分析工具是面板数据分析,其中分析单元或截面数据的数量是NTT省的所有地区/城市,最多可达22个地区,而时间序列数据始于2018-2021年。数据分析的结果表明,无论是部分地还是同时地,每个自变量,即经济增长、人类发展指数和居民人数,都已被证明对NTT省的贫困人口数量有重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Determinan Kemiskinan Propinsi Nusa Tenggara Timur
Various policy packages from the local government are currently being activated to reduce the spike in poverty rates in the Province of East Nusa Tenggara. This is because this province is still classified as the poorest province in Indonesia. Realizing this, the aim of this research is to find out the dominant factors that influence the high number of poor people in NTT Province. In an effort to answer research problems, the analytical tool used is panel data analysis where the number of analysis units or cross section data is all districts/cities in NTT Province as many as 22 districts while for time series data starting from 2018-2021. The results of data analysis show that either partially or simultaneously, each independent variable, namely economic growth, the human development index and also the number of residents has proven to have a significant influence on the number of poor people in NTT Province.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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