Shasta Pratomo, Devanto
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DETERMINAN PENYERAPAN TENAGA KERJA DI KOTA MALANG SEBELUM DAN SAAT PANDEMI COVID-19 Khairi, Irsyad; Shasta Pratomo, Devanto
Journal of Development Economic and Social Studies Vol. 3 No. 3 (2024)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jdess.2024.03.3.18

Abstract

One of the labor problems in Malang City is that the available jobs cannot absorb the rapidly growing labor force, causing high unemployment. The purpose of this study is to determine the effect of minimum wage, GRDP, inflation, education and COVID-19 dummy variables on labor deployment in Malang City. Data analysis uses multiple linear regression methods with the Stata 14 program. The data used are time series from 1993-2022 in Malang City. The results showed that the minimum wage has a positive and significant effect on labor absorption. Education level has a significant and negative effect on labor absorption. GRDP and Inflation have no significant effect on labor absorption. For COVID-19 dummy on employment, it has a negative and insignificant effect during the COVID-19 pandemic
Analysis of the Determinants of Economic Growth in Border Areas of West Kalimantan Using Panel Data Deffrinica; Shasta Pratomo, Devanto; Budi Santoso, Dwi; Hayet; Machimu, Joachimu; Kikky Vuspitasari, Benedhikta; Rini Hapsari, Veneranda
Gorontalo Development Review Volume 9 Nomor 1 April 2026
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/golder.v9i1.4672

Abstract

Economic growth in border regions plays a vital role in reducing regional disparities and strengthening national economic integration. Nevertheless, border areas in West Kalimantan continue to face structural challenges, particularly with regard to human capital quality, the effectiveness of fiscal transfers, and the utilization of infrastructure. This study aims to examine the determinants of economic growth in these regions using a panel data approach. The analysis incorporates average years of schooling, trade, Special Allocation Funds (DAK), General Allocation Funds (DAU), road infrastructure, and electricity as explanatory variables. The empirical model applies a Random Effects Model (REM) estimated through Generalized Least Squares (GLS). The findings reveal that average years of schooling has a positive and statistically significant effect on economic growth, highlighting the critical role of human capital in promoting regional development. In contrast, trade and General Allocation Funds (DAU) do not show statistically significant effects. Special Allocation Funds (DAK), as well as road and electricity infrastructure, exhibit significant negative effects, indicating that fiscal transfers and infrastructure provision have not yet been effectively translated into productive economic activity. These results suggest that, in the short term, economic growth in border regions is influenced more by improvements in human capital than by fiscal transfers and physical infrastructure. Therefore, policy efforts should prioritize strengthening human capital while enhancing the effectiveness of fiscal allocation and infrastructure utilization to support sustainable regional development.