Quantitative Economics and Management Studies
Vol. 4 No. 1 (2023), Pages 107-117 · 2023-02-11
Articles | 2023-02-11
Digital-Based Self-Employed Tendencies in Maintaining Income Levels in the Red Zone of COVID-19
- Efriyani Sumastuti — Universitas PGRI Semarang, Jl. Sidodadi Timur No.24, Kota Semarang, Jawa Tengah, 50232, Indonesia, Indonesia
- Dhea Rizky Amelia — Universitas PGRI Semarang, Jl. Sidodadi Timur No.24, Kota Semarang, Jawa Tengah, 50232, Indonesia, Indonesia
- Ika Indriasari — Universitas PGRI Semarang, Jl. Sidodadi Timur No.24, Kota Semarang, Jawa Tengah, 50232, Indonesia, Indonesia
- Rita Meiriyanti — Universitas PGRI Semarang, Jl. Sidodadi Timur No.24, Kota Semarang, Jawa Tengah, 50232, Indonesia, Indonesia
- Publication History
- Published online: February 11, 2023
- DOI
- https://doi.org/10.35877/454RI.qems1408
Abstract
This study has two objectives: wanting to know the tendency of Self-Employed in the COVID-19 red zone to maintain income levels and the predictive probability of using digitalization to maintain income levels in the COVID-19 Pandemic Era. Secondly, wanting to know the socio-demographic factors of Self-Employed in the red zone and have used a digital approach in their work to maintain income levels during the COVID-19 pandemic. Data sourced from Sakernas August 2020, with logistic regression analysis method. Self-Employed in the red zone of COVID-19 have a lower tendency than those who work in the green zone of COVID-19 to maintain their income level. On the other hand, Self-Employed who have been digitized have a greater probability of increasing their income. Furthermore, Self-Employed with a digital approach who do not work in crowds, do not experience a decrease in working hours, have high skills, and live in villages have a greater probability of maintaining income levels in the red zone of COVID-19.
Keywords
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How to Cite
Sumastuti, E., Amelia, D. R., Indriasari, I., & Meiriyanti, R. (2023). Digital-Based Self-Employed Tendencies in Maintaining Income Levels in the Red Zone of COVID-19. Quantitative Economics and Management Studies, 4(1), 107–117. https://doi.org/10.35877/454RI.qems1408
