贫困的决定因素:2017-2022 年期间西努沙登加拉省 10 个城市/地区的案例研究

Muti Dian Pramesti, Agung Riyardi
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引用次数: 0

摘要

贫困是指一个人无法满足其基本需求或过上体面生活的状况。产生贫困的原因有很多,如工作难找、资金有限、教育质量低等。本研究旨在研究 2017-2022 年期间,GRDP 率、失业率和人类发展指数如何影响西努沙登加拉省 10 个城市/地区的贫困率。本技术采用二手数据,并使用面板数据回归分析数据。模型选择检验结果显示,固定效应模型最佳。根据部分显著性检验结果,人类发展指数在α(0.05)时影响贫困率。决定系数(R2)为 0.994,这意味着自变量对因变量的同步贡献率为 99.4%。模型中未包含的其他额外变量会影响其余部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinan Kemiskinan: Studi Kasus 10 Kota/Kabupaten di Provinsi Nusa Tenggara Barat Periode 2017-2022
Poverty is a condition when a person cannot fulfill their basic needs or live a decent life. Poverty basically arises due to many factors such as difficulty finding work, limited capital, low quality of education and other factors. This research aims to study how the GRDP rate, unemployment rate, and human development index affect the poverty rate of 10 cities/districts in West Nusa Tenggara in the period 2017-2022. Secondary data is used in this technique and uses panel data regression to analyze the data. The model selection test results show that the Fixed Effect Model is the best. According to the partial significance test results, the human development index affects the poverty rate at alpha α (0.05). The coefficient of determination (R2) is 0.994, which means that the simultaneous contribution of the independent variable to the dependent variable is 99.4 percent. Other additional variables not included in the model affect the remaining part.
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