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All Journal Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Informatika Ekonomi Bisnis Jurnal Informatika Ekonomi Bisnis
Joko Susanto
UPN Veteran Yogyakarta
Humanities Economics, Econometrics & Finance Education Environmental Science Social Sciences

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LABOR PRODUCTIVITY, NUMBER OF MOTOR VEHICLE AND INCOME CONVERGENCE Joko Susanto
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 4 No 1 (2020): Vol. 4 No. 1, November 2020
Publisher : Badan Perencanaan Pembangunan Daerah, Penelitian dan Pengembangan Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v4i1.181

Abstract

This research examines the occurrence of income convergence in the Surakarta Ex-Residency. Data included per capita income, labor productivity, and the number of motor vehicles published by the Central Bureau of Statistics (BPS) from 2001-2018. The research model was formed by adding several control variables to form a regression equation where the current year's per capita income was dependent. In contrast, the preceding year's per capita income, labor productivity, and the number of motor vehicles were independent variables. Subsequently, the regression equation was estimated by the Dynamic Ordinary Least Square (DOLS) and Fully Modified Ordinary Least Square (FMOLS) methods. The results showed a convergence of per capita income among regions. The income in more impoverished regions grew faster compared to wealthier ones. For this reason, the gap in income per capita between regions lessened significantly. Increased labor productivity and the number of motor vehicles had a positive effect on per capita income, supporting income convergence. Therefore, the transportation network needs to be improved by the government to support the mobility of workers and goods, leading to income convergence.
Allocation of Education Funds and Educational Inequality in the Least Developed, Frontier, and Outermost Regions of East Nusa Tenggara Joko Susanto; Adinda Bintang Khairunnisa; Mellyana Safitri
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1428

Abstract

This study aims to analyze the effect of education funding allocation on educational inequality, with poverty rates and gender gap as control variables, in the least developed, frontier, and outermost regions of East Nusa Tenggara during the 2018-2024 period. The research data are secondary, sourced from the Central Statistics Agency and the Regional Education Balance Sheet, and are in panel form. This study uses panel-data regression analysis with a fixed-effects approach and quantile regression. The results show that although the allocation of education funding reduces educational inequality, it has no effect on the moderate inequality group. Meanwhile, poverty rates have a positive effect on educational inequality in both moderate and extreme groups. The gender gap has no effect on educational inequality, but in the moderate education inequality group, it has a positive effect on educational inequality in the least developed, frontier, and outermost regions of East Nusa Tenggara.
Allocation of Education Funds and Educational Inequality in the Least Developed, Frontier, and Outermost Regions of East Nusa Tenggara Joko Susanto; Adinda Bintang Khairunnisa; Mellyana Safitri
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1428

Abstract

This study aims to analyze the effect of education funding allocation on educational inequality, with poverty rates and gender gap as control variables, in the least developed, frontier, and outermost regions of East Nusa Tenggara during the 2018-2024 period. The research data are secondary, sourced from the Central Statistics Agency and the Regional Education Balance Sheet, and are in panel form. This study uses panel-data regression analysis with a fixed-effects approach and quantile regression. The results show that although the allocation of education funding reduces educational inequality, it has no effect on the moderate inequality group. Meanwhile, poverty rates have a positive effect on educational inequality in both moderate and extreme groups. The gender gap has no effect on educational inequality, but in the moderate education inequality group, it has a positive effect on educational inequality in the least developed, frontier, and outermost regions of East Nusa Tenggara.
KENAIKAN UPAH MINIMUM SEBAGAI SARANA PENGENTASAN KEMISKINAN Joko Susanto; Windyastuti Windyastuti
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 7 No 2 (2023): Vol. 7 No. 2, November 2023
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v7i2.400

Abstract

Poverty alleviation is one measure of the success of economic development; therefore, this study analyzes the link between the minimum wage and the poverty rate. This study uses secondary data, which includes poverty rate, regency/city minimum wage, economic growth, unemployment rate, and length of road in the Greater Solo. The study period covers conditions from 2010 to 2020. Secondary data was analyzed using a panel data regression model based on Fully Modified Ordinary Least Square (FMOLS) estimation. Primary data from interviews with some development economists supplement the regression results. Preliminary data analysis utilized the Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) method to analyze critical variables in poverty alleviation. The results showed increased regency/city minimum wage is followed by decreased poverty. Meanwhile, an increase in the open unemployment rate impacts an increase in the poverty rate. However, economic growth and the road length do not affect the Greater Solo area's poverty level. Furthermore, the results of the MICMAC analysis show a strong influence of the regency/city minimum wage and the open unemployment rate on the poverty rate. Meanwhile, economic growth and road length do not strongly influence the poverty rate.
Co-Authors Adinda Bintang Khairunnisa Mellyana Safitri Windyastuti Windyastuti