Claim Missing Document
Check
Articles

Found 2 Documents
Search

Poverty Level Determination Analysis: Case Study of South Sumatra Province Mirrahma, Aliyah Aisyiyah; Septiani, Msy Aziza; Panorama, Maya
JESI (Jurnal Ekonomi Syariah Indonesia) Vol 13, No 1 (2023)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jesi.2023.13(1).144-156

Abstract

Poverty is a multidimensional problem related to economic, political, social, cultural, and community participation. This is evidenced by the increasing trend of the number of people living below the poverty line. The main trigger of poverty in Indonesia is the inequality of economic distribution or what is known as economic justice. Whereas all religions prohibit economic monopoly actions that cause injustice and order their people to give charity (zakat) and cooperate evenly. Intending to reduce the poverty rate of the community even though we still often hear of hunger and hardship for some humans. This means that the welfare that is expected and aspired to has not been realized for people's lives. According to BPS 2022 data, South Sumatra is included in the top 10 with high poverty rates. Therefore, this study aims to determine, explain and analyze the factors that affect the Percentage of the Poor Population (PPM) in South Sumatra for the period 2019-2022. This research method uses a panel data regression method with individual unit observations of as many as 17 districts and cities of South Sumatra province in four years from 2019 to 2022. This study uses one response variable, namely PPM, and four explanatory variables, namely the unemployment rate (TPT), average years of schooling (RLS), GRDP per capita, and human development index (HDI). The results of this study show that the fixed effect model with two-way specific effects is the best model of the panel data poverty rate. Variables that have a significant effect are GRDP. RLS. and HDI.      
The Influence of Economic Growth, Inter-Regional Disparities and Absorbed Labor on Welfare Rachmah, Ulfia; Fadhila, Dita; Amelia, Ropini; Panorama, Maya
Edueksos Jurnal Pendidikan Sosial & Ekonomi Vol 12, No 2 (2023)
Publisher : Department of Tadris IPS FITK UIN Siber Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/edueksos.v12i2.15514

Abstract

ABSTRACT The final manifestation of improving welfare will be reflected in increasing income, reducing disparities between regions, improving people's quality of life so that the level of the economy can grow. Improvements in people's welfare can be realized through a number of development programs. The aim of thyis research was to examine how much economic growth, labor absorption and disparities between regions affect welfare in the districts/cities of South Sumatra from 2016-2022. This paper uses 3 X variables against 1 Y variable in the Regency/City of South Sumatra Province with a time series of 7 years. The research method is explanatory research with quantitative methods. The population in this research is data on time intervals for all variable. The techniques to collecting the data are saturated sampling from statistical publications, periodicals, volumes, documents and scientific collections. The samples in this research are data from 2016 to 2022, is 17 samples obtained from quarterly data for 9 years. Research uses secondary data. These include a time series from 2016 to 2022 and a cross-selection series covering 17 districts/cities. The techniques of data analysis are the Classical Assumption Test, Inferential Statistical Analysis (Linear Relation Analysis, T Test, F Test, R2). The results of the research in the partial test are that economic growth and absorbed labor do not have a significant effect on welfare. Inequality between regions has a significant negative effect on welfare. And in the Simultaneous Test all X variables have a simultaneous effect on welfare.Keywords: Economic growth, absorbed workforce, disparities between                     regions, welfare.