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All Journal Jurnal Akuntansi, Manajemen Dan Ekonomi Islam (JAM-EKIS) JER
Yulia Anas
Universitas Andalas
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Karakteristik Tenaga Kerja Menghadapi Resesi Ekonomi Megy Tetra Fauzan Arnold; Yulia Anas
Jurnal Economic Resource Vol. 9 No. 1 (2026): October - March
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v9i1.1961

Abstract

Tujuan penelitian ini adalah untuk menguji perubahan perilaku ekonomi sebagai salah satu faktor pertumbuhan ekonomi pada proses pemulihan ekonomi nasional pada tahun 2020-2021. Metode pengujian menggunakan perbandingan hasil uji regresi antar tahun yang sudah memenuhi uji asumsi klasik. Data menggunakan SAKERNAS 2020 dan 2021. Variabel dependen adalah penghasilan uang, variabel independen antara lain penggunaan teknologi, keterampilan, jumlah anggota rumah tangga, jenis kelamin, pendidikan, dan jumlah jam kerja. Hasil pengujian menunjukkan perubahan pengaruh dan signifikansi antar tahun 2020 dan 2021. Diperoleh kesimpulan terjadi perubahan perilaku ekonomi secara signifikan dalam mendukung pemulihan ekonomi nasional(peningkatan penghasilan) dan structural model change terbukti pada periode pandemi.
ANALYSIS OF HUMAN CAPITAL INVESTMENT AND INCOME INEQUALITY IN INDONESIA Natasya Rahmayuli Irwin; Yulia Anas
Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS) Vol. 9 No. 1 (2026): Jurnal Ilmiah Akuntansi, Manajemen, dan Ekonomi Islam (JAM-EKIS)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jam-ekis.v9i1.9468

Abstract

This study examines the heterogeneous effects of human capital investment—encompassing education, job training, health, and technology—on income inequality across districts and cities in Indonesia. Using individual microdata from the 2023 National Labor Force Survey (Sakernas) and the National Socio-Economic Survey (Susenas), the data are aggregated to the district/city level to capture regional disparities in income distribution. The analysis employs multiple linear regression with robust standard errors to address heteroscedasticity inherent in aggregated data. The empirical results indicate that regional health conditions are associated with significantly lower income inequality, while job training participation and technology adoption exhibit positive and significant relationships with inequality. These findings challenge the conventional assumption that all forms of human capital investment uniformly reduce inequality and instead highlight a “digital paradox,” whereby unequal regional access to skills development and technology intensifies income disparities. This study contributes to the literature by identifying job training and technology as potential drivers of inequality in the absence of inclusive regional access. The policy implications underscore the importance of targeted vocational programs and equitable digital infrastructure development in underdeveloped regions
Co-Authors Megy Tetra Fauzan Arnold Natasya Rahmayuli Irwin