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All Journal PARETO : Jurnal Ekonomi dan Kebijakan Publik Socio-Economic and Humanistic Aspects for Township and Industry
Lela Rospida
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Religion Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Disparitas Pembangunan Ekonomi Antar Provinsi Di Pulau Sumatera Tahun 2012 -2016 Muhammad Rusdi; Barika Barika; Izharudin Izharudin; Lela Rospida
PARETO : Jurnal Ekonomi dan Kebijakan Publik Vol 1 No 2 (2018): PARETO
Publisher : Fakultas Ekonomi Universitas Prof. Dr. Hazairin, SH. Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.007 KB) | DOI: 10.32663/pareto.v1i2.613

Abstract

This study aims to find out how the level of regional inequality between provinces on the island of Sumatra and how the population, investment, government spending and inflation influence regional inequality in Sumatra. We also analyze the pattern of economic growth in Sumatra according to the class typology. We also estimate Regional Inequality (Region) by Williamson index and use multiple regression to analysis the determinant inequality. The results study shows that 60 percent of the provinces in Sumatra fall into the category of low inequality, these provinces are North Sumatra, West Sumatra, South Sumatra, Bengkulu, Lampung and the Bangka Belitung Islands. The province of Aceh is included in the category of moderate inequality. The other 3 provinces, namely Riau, Jambi and Riau Islands have High inequality indices. Overall, population growth, Investment, Capital Expenditures and Inflation variables together / overall have a significant influence on regional economic inequality variables. Partially variable population growth and capital expenditure have a significant positive effect, while the investment variable has a significant negative effect on the economic inequality of the Sumatra region. The variable inflation is not significant to the economic inequality of the Sumatra region. Based on the results of Klassen's typology analysis, it can be seen that the provinces of North Sumatra, West Sumatra, Jambi, South Sumatra, Bengkulu and Lampung are fast growing provinces (high growth but low income). Provinces that are included in the fast growth and high income class are the provinces of Aceh and Bangka Belitung and the category of relatively low and low income cities is the Riau Islands province.
Early Marriage and Poverty Levels in Indonesia: A Panel Data Analysis Purmini, Purmini; Gustina Adela Putri; Lela Rospida
Socio-Economic and Humanistic Aspects for Township and Industry Vol. 3 No. 4 (2025): Socio-Economic and Humanistic Aspects for Township and Industry
Publisher : Tinta Emas Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/sehati.v3i4.604

Abstract

This study analyzes the influence of early marriage rates on poverty levels in Indonesia. Using secondary data from the Central Statistics Agency (BPS), panel data regression is applied to thirty-four provinces with relatively high poverty and early marriage rates over the 2015–2023 period. The model employs a fixed effect specification and includes economic growth, education level, and unemployment rate as additional explanatory variables. The results show that, simultaneously, economic growth, education level, unemployment rate, and early marriage rate have a significant effect on poverty levels. Partially, economic growth has a positive and significant effect on poverty, indicating that higher economic growth has not yet been accompanied by a reduction in poverty, so that growth is not yet inclusive. Education level has a negative and significant effect on poverty, underscoring the strategic role of education in reducing poverty through improving the quality of human resources. The unemployment rate has a positive and significant effect, meaning that higher unemployment increases the likelihood of poverty. The early marriage rate also has a positive and significant effect, indicating a tendency for early marriage to raise the risk of poverty. The coefficient of determination of 0.98 shows that the variables in the model explain 98 percent of the variation in poverty levels, indicating excellent explanatory power. Overall, the findings confirm that education and unemployment exert a stronger influence on poverty than early marriage, while economic growth has not yet had an inclusive impact on poverty reduction.
Co-Authors Barika Barika Gustina Adela Putri Izharudin Izharudin Muhammad Rusdi Purmini, Purmini