《人类发展指数》(Ipm)、地区最低工资(UMR)和失业率对印尼贫民的开放程度的影响(印尼34个省案例研究)

Noviatul Rahmawati, Panji Kusuma Prasetyanto, Fitrah Sari Islami
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引用次数: 0

摘要

本研究旨在分析2017-2021年印度尼西亚34个省的人类发展指数(HDI)、地区最低工资和公开失业率对贫困人口数量的影响。本研究使用的数据为中央统计局(BPS)的二次数据。本研究使用的技术是通过e - view10程序进行面板数据回归分析。结果表明,固定效应模型(FEM)是最合适的面板数据回归模型。基于同步检验,人类发展指数(IPM)、地区最低工资和公开失业率对贫困人口数量的影响。基于部分检验,2017-2021年,印尼34个省份的人类发展指数(HDI)对贫困人口数量具有显著的负向影响,而地区最低工资(UMR)和公开失业率对贫困人口数量具有显著的正向影响。关键词:人类发展指数,最低工资,失业率,贫困人口
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pengaruh Indeks Pembangunan Manusia (Ipm), Upah Minimum Regional (UMR), Dan Tingkat Pengangguran Terbuka Terhadap Jumlah Penduduk Miskin Di Indonesia Tahun 2017-2021 (Studi Kasus 34 Provinsi Di Indonesia)
TThis study aims to analyze the effect of the Human Development Index (HDI), Regional Minimum Wage, and Open Unemployment Rate on the Number of Poor Populations in 34 Provinces in Indonesia in 2017-2021. The data used in this study are secondary data obtained from Central Bureau of Statistics (BPS). The technique used in this research is panel data regression analysis through the E-views 10 program. The results show that the Fixed Effect Model (FEM) is the most appropriate panel data regression model. Based on the simultaneous test, the Human Development Index (IPM), Regional Minimum Wage, and the Open Unemployment Rate affect the Number of Poor Populations. Based on the partial test, the Human Development Index (HDI) has a negatif and significant effect on the Number of Poor Populations, while the Regional Minimum Wage (UMR), and the Open Unemployment Rate have a positif and significant impact on the Number of Poor People in 34 Provinces in Indonesia in 2017-2021.   Keywords: HDI 1, Minimum Wage2, Unemployment3, Number Of Poor People 4
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