Dampak Kejadian Bencana terhadap Upah Tenaga Kerja di Indonesia
DOI:
https://doi.org/10.51805/jmbk.v6i2.345Keywords:
disaster, labor, wageAbstract
Natural disasters cause loss of life and infrastructure damage. Over the past decade, the frequency and number of natural disaster events have tended to increase. Such events can threaten and disrupt community life, including the education sector, lead to the loss of jobs and assets, cause health and psychological problems, and disrupt economic activities. Disasters also result in damaged infrastructure, weakened social cohesion, and increased poverty rates. One of the variables affected by disasters is labor wages. The determinants of wages are classified into three categories: 1) demographic characteristics, including age, age squared, gender, marital status, and place of residence; 2) human resource characteristics, including education, certified training, and work experience; and 3) job characteristics, including working hours and industry sector. This study utilizes data from the 2019 National Labor Force Survey (Sakernas) and the Indonesia Disaster Information Data (DIBI) from BNPB. The findings indicate that disaster events significantly affect labor wages in Indonesia, although the estimated effect is relatively small. The policy implication of this study is that policymakers can enhance community resilience through both structural and non-structural mitigation efforts to reduce the adverse impacts of disasters, particularly their impact on the wages of affected workers.
References
Banerjee, L. (2007). Effect of Flood on Agricultural Wages in Bangladesh: An Empirical Analysis. World Development, 35(11), 1989–2009. https://doi.org/10.1016/j.worlddev.2006.11.010
Hallegatte, S., & Przyluski, V. (2010). The Economics of Natural Disasters. CESifo Forum, 11(2), 14–24.
Hersch, Joni, & Stratton, Leslie S. (2000). Household Specialization and the Male Marriage Wage Premium. ILR Review, 54(1), 78–94. https://doi.org/10.1177/001979390005400105
ILO. (2020). Global Wage Report 2020-21: Wages and minimum wages in the time of COVID-19.
Kahn, M. E. (2005). The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions. The Review of Economics and Statistics, 87(2), 271–284. https://doi.org/10.1162/0034653053970339
Leiter, A. M., Oberhofer, H., & Raschky, P. A. (2009). Creative Disasters? Flooding Effects on Capital, Labour and Productivity Within European Firms. Environmental and Resource Economics, 43(3), 333–350. https://doi.org/10.1007/s10640-009-9273-9
Mortensen, D. T. (2003). Wage Dispersion: Why Are Similar Workers Paid Differently.
Olshansky, R., & Chang, S. (2009). Planning for disaster recovery: Emerging research needs and challenges. Progress in Planning, 72(4), 200–209.
Prelog, A. J., & Miller, L. M. (2013). Perceptions of disaster risk and vulnerability in rural Texas. Journal of Rural Social Sciences, 28(3), 1.
Sawada, Y., & Takasaki, Y. (2017). Natural Disaster, Poverty, and Development: An Introduction. World Development, 94, 2–15. https://doi.org/10.1016/j.worlddev.2016.12.035
Sperling, L. L. (2022). Flooded jobs: income development after the 2007 Tabasco flood. Climate and Development, 14(4), 321–346. https://doi.org/10.1080/17565529.2021.1922335
van den Berg, M. (2010). Household income strategies and natural disasters: Dynamic livelihoods in rural Nicaragua. Ecological Economics, 69(3), 592–602. https://doi.org/10.1016/j.ecolecon.2009.09.006
Downloads
Published
Issue
Section
License
Copyright (c) 1 Jurnal Manajemen Bisnis dan Keuangan

This work is licensed under a Creative Commons Attribution 4.0 International License.
