Data Analytics on Indonesia Industries Economic Resilience Based on Poverty Rate Growth During Covid-19 Pandemic

A. Wibawa, Lukas Purba Wasesa, Wridhasari Hayuningtyas
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引用次数: 1

Abstract

Covid-19 pandemic is one of the biggest challenges that each country around the world has to overcome. This pandemic has affected a lot of countries in many sectors including Indonesia. During the year 2020 when Covid-19 cases rise in Indonesia, the poverty rate has also increased by 0.97% meaning almost 270.000 people went poor. Understanding the impact and the resilience especially on the primary industry during the Covid-19 situation is important to decrease the poverty rate as well as create new alternative strategies for the government to overcome. However, the economic resilience of primary industries such as fishing and plantation is still less to explore. In this study, the economic resilience of four major industries in Indonesia when facing the Covid-19 pandemic is presented namely tourism, fishery, plantation, and micro and small business. Bivariate correlation analysis is applied to calculate the statistical correlation between the growth of poverty rate during the Covid-19 pandemic with four major industries in 34 provinces. Based on the result, it can be concluded that plantation industries are the most resilient industries while facing the Covid-19 pandemic, so the provinces with plantation industries as their main industry are less likely to have major growth in poverty rate compared to other provinces with fewer plantation industries. The second most resilient industry is fishing. Meanwhile, the tourism industry is the most vulnerable during the pandemic situation. In this study, the qualitative analysis especially in Riau and Bali provinces is also presented.
基于2019冠状病毒病大流行期间贫困率增长的印尼工业经济韧性数据分析
新冠肺炎大流行是世界各国必须克服的最大挑战之一。这场大流行病影响了包括印度尼西亚在内的许多国家的许多部门。2020年,印尼新冠肺炎病例上升,贫困率也上升了0.97%,这意味着近27万人陷入贫困。了解新冠疫情对第一产业的影响和韧性,对于降低贫困率以及为政府制定新的替代战略至关重要。然而,渔业和种植业等第一产业的经济弹性仍有待探索。在本研究中,印度尼西亚四个主要行业在面对Covid-19大流行时的经济弹性,即旅游,渔业,种植园和微型和小型企业。采用双变量相关分析,计算了34个省份新冠肺炎疫情期间贫困率增长与4个主要行业的统计相关性。根据结果,可以得出结论,在面临新冠肺炎大流行的情况下,种植业是最具弹性的行业,因此以种植业为主要产业的省份与其他种植业较少的省份相比,贫困率的大幅增长可能性较小。第二大弹性产业是渔业。同时,在疫情期间,旅游业是最脆弱的。在本研究中,还提出了定性分析,特别是在廖内省和巴厘岛。
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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