Determinants of Poverty in East Java During The COVID-19 Pandemic

Ima Sartika Dewi, Joko Ade Nursiyono
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Abstract

The global COVID-19 pandemic has infected million people in Indonesia. East Java has experienced Indonesia’s epicentre of positive COVID-19 cases. The economic disruption in East Java due to COVID-19 pandemic has led to increase the number of poor people. This study aims to examine the determinants of poverty during the pandemic outbreak. In this study, we employed multiple linear regression. The results reveals that simultaneously the cumulative number of COVID-19, unemployment rate, Gini Ratio, population density, human development index (HDI), and GRDP per capita affect the risk of poverty in East Java. Partially, the cumulative number of COVID-19, unemployment rate, population density, and HDI shows a significant effect to poverty. While the Gini ratio and GRDP per capita has an insignificant effect. The increase on cumulative number of COVID-19 cases is likely to increase the risk of poverty. Similarly, unemployment has a positive significant affect on poverty. The increase on unemployment rate tends to increase the number of poor people. Contrary, the HDI and population density have a negatively significant effect to poverty. The increase on HDI and population density tends to increase the number of poor people.
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COVID-19 大流行期间东爪哇贫困的决定因素
全球 COVID-19 大流行已使印度尼西亚数百万人受到感染。东爪哇是印尼 COVID-19 阳性病例的中心。COVID-19 大流行对东爪哇的经济造成了破坏,导致贫困人口增加。本研究旨在探讨大流行爆发期间贫困的决定因素。在这项研究中,我们采用了多元线性回归法。结果显示,COVID-19 的累积数量、失业率、基尼系数、人口密度、人类发展指数(HDI)和人均国内生产总值(GRDP)同时影响东爪哇的贫困风险。COVID-19 的累积数、失业率、人口密度和人类发展指数对贫困有显著影响。而基尼系数和人均国内生产总值的影响不明显。COVID-19 累计数的增加可能会增加贫困风险。同样,失业率对贫困也有积极的显著影响。失业率的增加往往会增加贫困人口的数量。与此相反,人类发展指数和人口密度对贫困有负面显著影响。人类发展指数和人口密度的增加往往会增加贫困人口的数量。
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