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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN DI INDONESIA TAHUN 1999 – 2020 Pramu, Septian; Hutajulu, Dinar Melani
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 3 No. 2 (2023): March 2023
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v3i2.393

Abstract

Economic development is one of the factors to increase community welfare. Several factors influence growth, including economic growth and poverty. Poverty, in turn, is influenced by several factors such as literacy, inflation, and unemployment. This research aims to examine the factors that influence poverty in Indonesia from 1999-2020. In this study, the data analysis method used is time series data analysis. Time series data analysis refers to a series of values of a variable over a certain period of time. The variables tested in this analysis include regional minimum wage (UMR), economic growth, inflation, as well as the level of unemployment or poverty (number of poor people), as independent variables that influence the analysis results. The study finds that only literacy and inflation rates have a significant effect on poverty in the long and short term, while unemployment does not have an effect on poverty in Indonesia.
The dynamics of micro and small industries and poverty: A geographical perspective with panel data evidence Hutajulu, Dinar Melani; Sritutur, Fera Febriana; Mukharohmah, Maulia Siti; Damayanti, Putri Nisrina; Dzakirah, Aini Fadhilah
Optimum: Jurnal Ekonomi dan Pembangunan Vol. 16 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/optimum.v16i1.14925

Abstract

Despite government efforts, including initiatives like cash transfer programmes, food assistance schemes, and the existence of micro, small, and medium enterprises (MSMEs), poverty remains a persistent problem in Indonesia. Previous studies have yielded conflicting results on the extent to which MSMEs impact poverty reduction efforts. This study examines the effects of micro and small-scale industries on poverty levels in Indonesia, with a particular emphasis on regional disparities between Java and non-Java provinces, as well as between Western and Eastern regions. The analysis utilises panel data from 34 provinces spanning the period from 2017 to 2023, employing panel regression models. The findings indicate that growth in output and employment within small and micro industries is linked to higher poverty levels, suggesting that structural limitations, including low productivity, restricted access to capital, and the prevalence of enterprises focused on survival, hinder their effectiveness in reducing poverty. Research in the region shows that the negative consequence is more apparent in Java and Western Indonesia, primarily due to population pressures and existing wage systems. Unemployment has a significant impact on increasing poverty levels, whereas economic growth helps to decrease them. The Human Development Index (HDI) showed no statistically significant effect. In summary, the research indicates that micro and small enterprises have not yet demonstrated efficacy in poverty alleviation in Indonesia.
Determinants of Informal Labor Income: Does Demographic Matters? Dinar Melani Hutajulu; Rr. Retno Sugiharti; Jihad Lukis Panjawa; Jalu Aji Prakoso; Lorentino Togar Laut
Jurnal Ekonomi dan Studi Pembangunan Vol 13, No 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um002v13i22021p112

Abstract

In informal sector, labor is unnecessary to have a higher degree and special skill. So that, working in informal sector is one of the solutions for labor with low skill to gain an income and move out from poverty. This research aims to analyse determinant factors of labor income in informal sector, focused on demographic and social economics variables. By using SAKERNAS data from Indonesian Statistics, this research is adopted Mincer Wage Equation and conducted by Ordinary Least Square Method. The result shows that Mincer Equation still a robust model for modelling wage factor. Labor with more educational backgrounds come up with higher income since the education will refine the workability and capability to improve productivity. In the other hand, labor in informal sector who live in the village earn more income than those who work in the city area. This conclude that by right policy, informal sector can develop higher income as high as formal sector.