Analisis Determinan Kemiskinan Propinsi Nusa Tenggara Timur

F. Nalle, Sirilius Seran, Fransiskus Bria
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引用次数: 2

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.
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分析东努萨省贫困率
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。
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