From employees to entrepreneurs: Does migration matter in blue-collar workers’ transition?

Authors

DOI:

https://doi.org/10.31328/jsed.v7i2.6152

Keywords:

blue-collar employee, business entrepreneur, COVID-19, job migration, labor force, multinomial logistic regression

Abstract

Transitioning into entrepreneurship can offer a viable path for former blue-collar workers to reenter the workforce following widespread job losses during the COVID-19 pandemic. This study investigates the critical roles of adaptability and resilience in facilitating this transition, with particular attention to how migration status influences success in becoming either formal or informal entrepreneurs. Utilizing detailed microdata from the August 2021 Labor Force Survey (Survei Angkatan Kerja Nasional - SAKERNAS), the study applies a multinomial logistic regression model to examine the transition patterns of these former workers. The findings indicate that former migrant blue-collar workers are more inclined to shift towards formal entrepreneurship rather than informal ventures. This suggests the importance of implementing supportive policies aimed at fostering entrepreneurial initiatives among blue-collar workers. Such policies could mitigate the risks associated with job losses, particularly in times of crisis, and provide a safety net by encouraging entrepreneurship. By facilitating entrepreneurial activity, these policies would not only bolster economic resilience but also offer alternative routes for workforce recovery, ultimately contributing to job security, financial stability, and long-term economic sustainability in the face of ongoing uncertainties.JEL Classification C25; J24; J63

Author Biographies

Christiayu Natalia, Brawijaya University

Department of Economics

Devanto Shasta Pratomo, Brawijaya University

Department of Economics

Wildan Syafitri, Brawijaya University,

Department of Economics

References

Amankwah-Amoah, J., Khan, Z., Wood, G., & Knight, G. (2021). COVID-19 and digitalization: The great acceleration. Journal of Business Research, 136, 602–611. https://doi.org/10.1016/j.jbusres.2021.08.011

Arbeláez-Rendón, M., Giraldo, D. P., & Lotero, L. (2023). Influence of digital divide in the entrepreneurial motor of a digital economy: a system dynamics approach. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100046. https://doi.org/10.1016/j.joitmc.2023.100046

Arman, G. (2023). Surviving limbo: critical career capital aspects for entrepreneur immigrants in an extreme context. Career Development International, 28(4), 443–457. https://doi.org/10.1108/CDI-07-2022-0218

Bahar, D. (2021, July 1). Remittances: one more thing that economists failed at predicting during the COVID-19. Future Developments Blog.

Balgova, M., Stevens, M., Adams, A., Bond, S., Venables, T., Neary, P., Quinn, S., Crawford, I., Flemming, J., Wozniak, A., Dohmen, T., & Altmann, S. (2020). Leaping into the unknown? The role of job search in migration decisions *.

Bappenas. (2018). MENUJU 2030 PETA JALAN SDGs INDONESIA.

BPS. (2023). KEADAAN ANGKATAN KERJA DI INDONESIA Labor Force Situation in Indonesia.

Clays, E., Hallman, D., Oakman, J., & Holtermann, A. (2020). Objectively measured occupational physical activity in blue-collar workers: What is the role of job type, gender and psychosocial resources? Applied Ergonomics, 82. https://doi.org/10.1016/j.apergo.2019.102948

Chakravarty, S., Lundberg, M., Nikolov, P., & Zenker, J (2017) : The value of skill training programs for self-employment, entrepreneurship and non-cognitive traits. Evidence from a regression discontinuity design, Discussion Papers, No. 238, Georg-August-Universität Göttingen, Courant Research Center - Poverty, Equity and Growth (CRC-PEG), Göttingen

Decius, J., Schaper, N., & Seifert, A. (2021). Work Characteristics or Workers’ Characteristics? An Input-Process-Output Perspective on Informal Workplace Learning of Blue-Collar Workers. Vocations and Learning, 14(2), 285–326. https://doi.org/10.1007/s12186-021-09265-5

Deelen, A., de Graaf-Zijl, M., & van den Berge, W. (2018). Labour market effects of job displacement for prime-age and older workers. IZA Journal of Labor Economics, 7(1), 3. https://doi.org/10.1186/s40172-018-0063-x

Deng, J., Elmallakh, N., Flabbi, L., & Gatti, R. (2023). Labor Market Impact of the COVID-19 Pandemic in the West Bank and Gaza. http://www.worldbank.org/prwp.

Eurofound. (2022). Coding and classification standards.

Greene, W. H. (2003). Econometric analysis (5th Edition). Prentice Hall

Gujarati, D. N., & Porter, D. C. (2013). Basic Econometrics. In Introductory Econometrics: A Practical Approach.

Illing, H., Schmieder, J.F., & Trenkle, S. (2021). The Gender Gap in Earnings Losses after Job Displacement. IZA Institute of Labor Economics Discussion Paper Series.

Klotz, A. C., Swider, B. W., Shao, Y., & Prengler, M. K. (2021). The paths from insider to outsider: A review of employee exit transitions. Human Resource Management, 60(1), 119–144. https://doi.org/10.1002/hrm.22033

Koch, M., Manuylov, I., & Smolka, M. (2021). Robots and Firms. Economic Journal, 131(638), 2553–2584. https://doi.org/10.1093/ej/ueab009

Lee, J. (2021). A Dynamic Model of Employees’ Transition to Entrepreneur: A Cognitive Mapping Approach. Human Resource Development Review, 20(2), 143–171. https://doi.org/10.1177/15344843211000260

Lerpold, L., Sjöberg, Ö., & Wennberg, K. (2023). Migration and Integration in a Post-Pandemic World Socioeconomic Opportunities and Challenges.

Nguyen, B. (2022). Internal migration and earnings: Do migrant entrepreneurs and migrant employees differ? Papers in Regional Science, 101(4), 901–945. https://doi.org/10.1111/pirs.12689

Pratomo, D. S., Ningsih, D. N. C., Fahadayna, A. C., Athoillah, Moh., Arisetyawan, K., & Prastiwi, L. F. (2023). Employment Mobility in East Java During the COVID-19 Pandemic. Journal of Population and Social Studies, 32, 130–143. https://doi.org/10.25133/JPSSv322024.008

Pratomo, D. S. (2016). How does the minimum wage affect employment statuses of youths?: evidence of Indonesia. Journal of Economic Studies, 43(2), 259-274. doi: https://doi.org/10.1108/JES-07-2014-0131.

Profeta, P., Calo, X., & Occhiuzzi, R. (2021). COVID-19 and Its Economic Impact on Women and Women’s Poverty Insights from 5 European Countries.

Rombaut, E., & Guerry, M. A. (2021). Determinants of voluntary turnover: A data-driven analysis for blue and white collar workers. In Work (Vol. 69, Issue 3, pp. 1083–1101). IOS Press BV. https://doi.org/10.3233/WOR-213538

Schmutz, B., Sidibé, M., & Vidal-Naquet, É. (2021). Why are low-skilled workers less mobile? The role of mobility costs and spatial frictions. Annals of Economics and Statistics, 142, 283–303. https://doi.org/10.15609/ANNAECONSTAT2009.142.0283

Skees, S., & Yusuf, S. (2021). Gen Z: Finding your place in a fast changing world. Skees Family Foundation.

Sorgner, A., & Fritsch, M. (2018). Entrepreneurial career paths: occupational context and the propensity to become self-employed. Small Business Economics, 51(1), 129–152. https://doi.org/10.1007/s11187-017-9917-z

Sostero, M., Milasi, S., Hurley, J., Fernandez-Mac´ıas, E., & Bisello, M. (2020). Teleworkability and the COVID-19 crisis: a new digital divide?. JRC working papers series on labour, education and technology, 2020/05. EU Science Hub, European Commission. https://joint-research-centre.ec.europa.eu/publications/ teleworkability-and-covid-19-crisis-new-digital-divide en.

Tasmilah, T., Pratomo, D. S., & Syafitri, W. (2023). Pengaruh Modal Manusia terhadap Transisi Tenaga Kerja Formal Menjadi Informal pada Masa Pandemi Covid-19. Jurnal Ekonomi Dan Pembangunan Indonesia, 23(1), 65–80. https://doi.org/10.21002/jepi.2023.05

Torre, M. (2019). Women in Blue: Structural and Individual Determinants of Sex Segregation in Blue-Collar Occupations. Gender and Society, 33(3), 410–438. https://doi.org/10.1177/0891243219830974

Vyas, L. (2022). “New normal†at work in a post-COVID world: work–life balance and labor markets. Policy and Society, 41(1), 155–167. https://doi.org/10.1093/polsoc/puab011

Waschull, S., Bokhorst, J. A. C., Wortmann, J. C., & Molleman, E. (2022). The redesign of blue- and white-collar work triggered by digitalization: collar matters. Computers and Industrial Engineering, 165. https://doi.org/10.1016/j.cie.2021.107910

Yáñez-Valdés, C., & Guerrero, M. (2024). Determinants and impacts of digital entrepreneurship: A pre- and post-COVID-19 perspective. Technovation, 132, 102983. https://doi.org/10.1016/j.technovation.2024.102983

Downloads

Published

2024-10-02

How to Cite

Natalia, C., Pratomo, D. S., & Syafitri, W. (2024). From employees to entrepreneurs: Does migration matter in blue-collar workers’ transition?. Journal of Socioeconomics and Development, 7(2), 170–180. https://doi.org/10.31328/jsed.v7i2.6152

Issue

Section

Research Articles

Similar Articles

1 2 3 4 5 6 7 > >> 

You may also start an advanced similarity search for this article.