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Journal : Gorontalo Development Review

Analysis of Provincial Poverty in Indonesia (Case Study: Before the Covid 19 Pandemic and During the Covid 19 Pandemic) Sri Nathasya Br Sitepu
Gorontalo Development Review Volume 5 Nomor 2 Oktober 2022
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/golder.v0i0.2385

Abstract

Poverty uses three measurements, namely: the percentage of poor people (P0), the depth index (P1) and the severity index (P2). Poverty in 2018-2019 has decreased where the Covid 19 Pandemic has not yet occurred in Indonesia. After the Covid-19 Pandemic (2020-2021) there was a restriction on population mobility, thereby reducing income and having an impact on poverty. The object of research uses all provinces in Indonesia. Poverty data is sourced from the Central Statistics Agency and the Covid 19 Task Force. The purpose of the study is to compare poverty and the COVID-19 pandemic in every province in Indonesia. This study uses descriptive statistical analysis using data from 2019 and 2020. The results found five provinces with a high rate of COVID-19 cases including: West Java, Central Java, East Java, North Sumatra, and DI. Yogyakarta. The five provinces with the highest COVID-19 cases experienced an increase in poverty during the 2020 COVID-19 pandemic
Level of Poverty in Cities and Regencies Sri Nathasya Br Sitepu
Gorontalo Development Review Volume 6 Nomor 1 April 2023
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/golder.v0i0.2524

Abstract

This study analyzes the poverty rate of regencies/cities on the island of Sumatra using quantitative methodology. Panel data regression analysis techniques with Pooled least Square (PLS), Fixed Effect Model (FEM), and Random Effect Model (REM). The panel data in the study is a combination of time series data for 2010-2019 with cross-section data from 153 regencies/cities on the island of Sumatra. The purpose of the study was to find the best panel data regression model and determine the variables that affect the poverty rate of regencies/cities on the island of Sumatra. The results of the research analysis found a fixed effect model (FEM) as the best model for analyzing the poverty rate (P0) of regencies/cities on the island of Sumatra. Access to electricity, access to adequate drinking water, acquisition of GRDP and government capital expenditure are variables that have a significant impact on the poverty rate (P0). Access to sanitation and population are not variables that affect the level of poverty (P0). The managerial implications of the government prioritize increasing district/city GRDP to reduce poverty.