Poverty and Its Problems in the Province of West Sumatra

Zaki, Yolanda, Hendry Ali, P. Astuti
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Abstract

Poverty is a problem that is difficult for many countries to overcome, so the United Nations (UN) created an SDGS agenda whose main goal is to end all forms of poverty in this world by 2030. To overcome this poverty, many countries are trying to see what factors cause poverty to occur. This research tries to look at the causes of poverty in terms of education, Human Development Index, Unemployment, Income Inequality, and Labor Force Participation Rate in Districts/Cities of West Sumatra Province from 2011-2019. The research analysis technique uses panel data regression with cross sections of 19 districts and cities and the 2011-2019 time series. Estimation of the relationship using the panel model regression method is the Common Effect Model, Fixed Effect Model and Random Effect Model. Selection of the best model is done by Chow tetst and Hausman tests is the Random Effect Model. Based on the research results, it was found that education and the Human Development Index can significantly reduce poverty and unemployment, and income inequality can significantly increase poverty, as well as the Labor Force Participation Rate. The results of this study provide recommendations to local governments to provide access to higher education and better health for the whole community as well as provide employment and reduce income inequality that occurs.
西苏门答腊省的贫困及其问题
贫困是许多国家难以克服的问题,因此联合国(UN)制定了可持续发展目标议程,其主要目标是到2030年消除世界上所有形式的贫困。为了克服这种贫困,许多国家正试图找出导致贫困发生的因素。本研究试图从2011-2019年西苏门答腊省地区/城市的教育、人类发展指数、失业率、收入不平等和劳动力参与率等方面研究贫困的原因。研究分析方法采用2011-2019年时间序列的19个区市横截面面板数据回归。使用面板模型回归方法对关系进行估计有共同效应模型、固定效应模型和随机效应模型。最佳模型的选择采用Chow检验,Hausman检验采用随机效应模型。根据研究结果发现,教育和人类发展指数可以显著减少贫困和失业,收入不平等可以显著增加贫困,以及劳动力参与率。这项研究的结果为地方政府提供了建议,以便为整个社区提供接受高等教育和更好的医疗服务的机会,并提供就业机会和减少发生的收入不平等。
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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