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What Drives Gig Workers’ Welfare in Indonesia? Evidence from a Panel Data Regression 2018–2023 Andi Muh. Zulfadhil Zareka; Alfi Hidayatullah; Dara Sakina; Bunga Musva Cotva; Budiasih
Jurnal Ketenagakerjaan Vol 20 No 3 (2025): Gig Workers
Publisher : Pusat Pengembangan Kebijakan Ketenagakerjaan Kementerian Ketenagakerjaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47198/jnaker.v20i3.543

Abstract

The rapid growth of digital technology has driven significant transformations in the labor market, marked by the emergence of the gig economy. While offering flexibility, gig workers is often accompanied by legal uncertainties and a lack of social protection, raising concerns about worker welfare. This study aims to identify the factors influencing gig workers' wages in Indonesia from economic, social, and digital perspectives. The analysis uses panel data from 34 provinces over the 2018–2023 period, sourced from BPS. The analytical method employed is the fixed effect model, corrected using the seemingly unrelated regression approach to address issues of heteroskedasticity and inter-regional correlation. The results show that inflation, human development index, open unemployment rate, ICT readiness, and ICT intensity significantly affect gig workers’ wages. ICT readiness has a positive impact, whereas the ICT intensity has a negative effect on wages. Meanwhile, ICT skills do not show a significant influence. This study highlights the need for inclusive digital policies and strengthened worker bargaining power to build a sustainable gig economy ecosystem.
Hilirisasi Nikel dan Kontribusinya terhadap Nilai Tambah dan Struktur Perekonomian Nasional Bunga Musva Cotva; Nur Faqih Ihsan; Sun Asi Gabriella Sinaga; Fitri Kartiasih
Seminar Nasional Official Statistics Vol 2026 No 1 (2026): Seminar Nasional Official Statistics 2026
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2026i1.2644

Abstract

Indonesia has abundant nickel reserves and significant potential to promote economic growth through downstreaming strategies. However, studies analyzing the impacts of nickel downstreaming investment injections on intersectoral output, household income, and value added using the Input-Output approach remain relatively limited. This study aims to analyze the linkages of nickel downstreaming with intersectoral output, household income, and value added in Indonesia. The analysis employs an Input-Output model with an investment injection of IDR 153.2 trillion into the metal, iron, and steel processing industry as a representation of nickel downstreaming activities, using 50%, 100%, and 150% injection scenarios. The results show that the largest impacts on output and value added occur in the non-metallic, iron, and steel processing industry, while the largest household income impact occurs in the same sector, followed by wholesale and retail trade and mining and quarrying. Increasing the injection scenario only changes the magnitude of impacts without altering the intersectoral ranking. Expanding the impacts of nickel downstreaming requires strengthening local inputs, high-value-added downstream industries, technology transfer, and human resource development.