Pandemic shock and regional economic resilience in Indonesia: A linear mixed model
DOI:
https://doi.org/10.58524/app.sci.def.v4i1.1043Keywords:
Economic Vulnerability, Linear Mixed Model, National Resilience, Pandemic Shock, UnemploymentAbstract
Background: The COVID-19 pandemic has emerged as a major non-traditional security threat, generating substantial economic disruptions and destabilizing labor markets worldwide. In Indonesia, the surge in open unemployment during the pandemic has raised concerns regarding regional economic resilience and its broader implications for national economic security. As unemployment can exacerbate social vulnerability and weaken adaptive capacity, understanding regional labor market dynamics is critical for strengthening national resilience.
Aims: This study aims to examine the impact of pandemic-induced shocks on provincial open unemployment rates in Indonesia and assess regional heterogeneity in economic resilience.
Method: The study employs provincial level panel data and applies a Linear Mixed Model (LMM) to capture both temporal effects and regional heterogeneity. The model incorporates pandemic indicators alongside structural economic variables, including informal employment and commodity distribution dynamics, to evaluate their roles as vulnerability factors or resilience buffers during the crisis period.
Results: The findings show that the COVID-19 pandemic has significantly increased the open unemployment rate in all provinces in Indonesia. This study also shows that the percentage of trade and transportation margins (MTT) for shallots influences the open unemployment rate with a p-value of 0.017 and a variable coefficient of 0.021. In addition, it was also found that the proportion of informal workers in the total national workforce also has a significant effect on changes in the open unemployment rate (p-value: 0.001, coefficient: -0.077). Another finding from this study is that the level of high school education does not have a significant effect on the open unemployment rate.
Conclusion: This study on pandemic induced unemployment shocks contributes by integrating regional heterogeneity into economic resilience analysis using a multilevel modeling framework. Strengthening regional economic resilience through labor market flexibility, supply chain stability, and adaptive policy coordination is essential to safeguarding socioeconomic stability and reinforcing Indonesia’s national resilience against large-scale non-traditional threats.
References
Adely, F. I. J., Mitra, A., Mohamed, M. & Shaham, A. (2021). Poor education, unemployment and the promise of skills: The hegemony of the ‘skills mismatch’ discourse. International Journal of Educational Development, 82(2021), 102381. https://doi.org/10.1016/j.ijedudev.2021.102381
Ayeni, R. K. & Shaib, E. O. (2020). Trends in migration, unemployment and population: a post-covid-19 forecast of capacity development in the Gambia. Global Economy Journal, 20(04), 1–21. https://doi.org/10.1142/S2194565920500189
Aygun, A. H., Kosal, S., & Uysal, G. (2022). Unpacking the effects of Covid-19 on labor market outcomes: Evidence from Turkey. Economic Research Forum (ERF), 153, 1-41. https://erf.org.eg/app/uploads/2022/01/1643624731_988_842765_1533.pdf
Bildirici, M. E. & Gokmenoglu, S. M. (2026). Terrorism, gold production, and economic development: Evidence from Colombia, Dem. Rep. Congo, Indonesia, Mali and Philippines. Resources Policy, 116, 105909. https://doi.org/10.1016/j.resourpol.2026.105909
Blustein, D. L., Duffy, R., Ferreira, J. A., Cohen-Scali, V., Cinamon, R. G., & Allan, B. A. (2020). Unemployment in the time of COVID-19: A research agenda. Journal of Vocational Behavior, 119(2020), 103436. https://doi.org/10.1016/j.jvb.2020.103436
Briguglio, L., Cordina, G., Farrugia, N., & Vella, S. (2009). Economic vulnerability and resilience: concepts and measurements. Oxford Development Studies, 37(3), 229-247. https://doi.org/10.1080/13600810903089893
Dakhilullah, M. F. (2023). Pengaruh Upah Minimum Dan Pengangguran Terhadap Kemiskinan di Pulau Jawa Sebelum dan Selama Pandemi Covid-19. Wawasan Jurnal Ilmu Manajemen Ekonomi dan Kewirausahaan, 1(1), 60–75. https://doi.org/10.58192/wawasan.v1i1.239
Eraydin, A. (2016). Attributes and characteristics of regional resilience: Defining and measuring the resilience of Turkish regions. Regional Studies, 50(4), 600–614. https://doi.org/10.1080/00343404.2015.1034672
Florez, L. A. & Gomez, L. (2024). The impact of skill mismatch on unemployment, informality, and labour turnover. The Economic and Labour Relations Review, 35(4), 980–999. https://doi.org/10.1017/elr.2024.48
Hausmann, R. (2020, March 24). Flattening the COVID-19 curve in developing countries. Project Syndicate. https://www.project-syndicate.org/commentary/flattening-covid19-curve-in-developing-countries-by-ricardo-hausmann-2022-03
Hensher, M. (2020). Covid-19, unemployment, and health. BMJ, 371, 1–5. https://doi.org/10.1136/bmj.m3687
Irawan and Suparmoko, (2002). Ekonometrika Pembangunan (Edisi Kelima). Yogyakarta: BPFE-Yogyakarta.
Krisnandika, V. R., Aulia, D., & Jannah, L. (2021). Dampak Pandemi Covid-19 Terhadap Pengangguran Di Indonesia. JISIP (Jurnal Ilmu Sos. Dan Pendidikan), 5(4), 638-648. http://dx.doi.org/10.58258/jisip.v5i3.2227
Marta, D. J., Astuti, N. I., & Sutarga, K. Geographic information system-based mapping of flood-prone areas and evacuation routes in Cilandak Sub-district, South Jakarta City. Journal of Geospatial Science and Analytics, 1(3), 215-224. https://doi.org/10.58524/jgsa.v1i3.6
Martin R. & Sunley, P. (2015). On the notion of regional economic resilience: conceptualization and explanation. Journal of Economic Geography, 15(1), 1–42. https://doi.org/10.1093/jeg/lbu015
Mbatha, Z. O. (2021). Understanding unemployment. South Asian Journal of Marketing & Management Research, 11(12), 66–76. https://doi.org/10.5958/2249-877X.2021.00142.9
Nguyen, P.-H., Jung-Fa, T., Nguyen, H.-P., Nguyen, V.-T., & Trong-Khoi, D. A. O. (2020). Assessing the unemployment problem using a grey MCDM model under COVID-19 impacts: A case analysis from Vietnam. Journal of Asian Finance Economics and Business, 7(12), 53–62. https://doi.org/10.13106/jafeb.2020.vol7.no12.053
Nizova, L. M. & Sorokina, E. N. (2019). Problems of Balancing Supply and Demand in the Labor Market of the Republic of Mari El. Studies on Russian Economic Development, 30(4), 462–466. https://doi.org/10.1134/S1075700719040099
Odasseril, M. K. & Shanmugam, K. R. (2025). COVID-19-induced GDP loss and India’s path to a developed economy. Journal of Social and Economic Development, 2025. https://doi.org/10.1007/s40847-025-00448-7
Oshora, B., Nguse, T., Fekete-Farkas, M., & Zeman, Z. (2021). Economic growth, investment, population growth and unemployment in Ethiopia. SHS Web of Conferences, 90(2021), 1013. https://doi.org/10.1051/shsconf/20219001013
Prasanti, T. A., Wuryandari, T., & Rusgiyono, A. (2015). Aplikasi regresi data panel untuk pemodelan tingkat pengangguran terbuka kabupaten/kota di Provinsi Jawa Tengah. Jurnal Gaussian, 4(3), 687–696. https://doi.org/10.14710/j.gauss.4.3.687-696
Rahman, J. Y., Zevic, F. F., Nur, W. H., & Ramli, I. (2025). Multiscale geographically weighted regression with LASSO and Group LASSO: Review and application to micro and small enterprises revenue. Journal of Geospatial Science and Analytics, 1(3), 185-202. https://doi.org/10.58524/jgsa.v1i3.55
Ramdhani, N. & Evito, G. A. Z. (2025). Geospatial analysis of factors affecting index of rice harvest success in West Java using INLA-based Bayesian models. Journal of Geospatial Science and Analytics, 1(3), 225-234. https://doi.org/10.58524/jgsa.v1i3.89
Sadhu, A., Ghosh, S., Mandal, A. H., Nayak, S., Saha, N. C., Mitra, A., & Saha, S. (2025). Effects of Covid-19 Pandemic on Blue Economy in India: Impacts, Opportunities and Challenges. Proceedings of the Zoological Society, 78, 251–266. https://doi.org/10.1007/s12595-025-00580-6
Sağlam, Ü. (2025). Beyond GDP: COVID-19’s effects on macroeconomic efficiency and productivity dynamics in OECD countries. Econometrics, 13(3), 29, 2025. https://doi.org/10.3390/econometrics13030029
Sani, S. R., Fitri, C. D., Amri, K., Muliadi, M., & Ikhsan, I. (2022). Dampak pandemi COVID-19 terhadap pengangguran, kemiskinan dan ketimpangan pendapatan: Bukti data panel di Indonesia. Ekonomis: Journal of Economics and Business, 6(1), 107–115. https://doi.org/10.33087/ekonomis.v6i1.499
Sjaf, S., Malik, A., Sampean, Harits, A., Maulana, S. A., Hakim, L., et al. (2025). Analysis of spatial inequality and rural development in the supporting region for nusantara capital city, Indonesia. Wellbeing, Space and Society, 9, 100286. https://doi.org/10.1016/j.wss.2025.100286
Su, C.-W., Dai, K., Ullah, S., & Andlib, Z. (2022). COVID-19 pandemic and unemployment dynamics in European economies. Economic Research-Ekonomska Istraživanja, 35(1), 1752–1764. https://doi.org/10.1080/1331677X.2021.1912627
Svabova, L., Metzker, Z., & Pisula, T. (2020). Development of Unemployment in Slovakia in the Context of the COVID-19 Pandemic. Ekonomicko-manazerske spektrum, 14(2), 114–123. https://doi.org/10.26552/ems.2020.2.114-123
Tesso, G. (2020). Review of the impact of COVID-19 on economic growth, unemployment and progress out of poverty in Ethiopia. Impact of Covid-19 on Ethiopian Economy, 1-29. https://www.academia.edu/43211719/Review_of_the_Impact_of_COVID_19_on_Economic_Growth_Unemployment_and_Progress_out_of_Poverty_in_Ethiopia
Trochim, W. M. (2006). The Research Methods Knowledge Base (2nd Edition). Cincinnati: Atomic Dog Publishing.
Umoh, S. & Aluko, O. Poverty cycle and post COVID-19 interventions in Nigeria: a political economy perspective. SN Social Sciences, 5(80), 2025. https://doi.org/10.1007/s43545-025-01112-x
World Health Organization. (2020). Coronavirus Disease (COVID-19) Dashboard. Available: https://covid19.who.int/.
Zannah, M., Rizki, S. W., & Aprizkiyandari, S. (2022). Pemodelan tingkat pengangguran terbuka di Kalimantan Barat dengan pendekatan linear mixed model. BIMASTER: Buletin Ilmiah Matematika, Statistika dan Terapannya, 11(4), 677–686. https://doi.org/10.26418/bbimst.v11i4.57773
Zieliński, M. (2022). The effect of the COVID-19 pandemic on the labor markets of the Visegrad countries. Sustainability, 14(12), 7386. https://doi.org/10.3390/su14127386
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Novalia, Bima Ramadhan, Kenny Candra Pradana, Ahmad Naqiyuddin Bakar

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