DIGITAL ECONOMY AND LABOR MARKET DYNAMICS: A COMPARATIVE ANALYSIS OF EMPLOYMENT TRENDS IN VIETNAM AND THAILAND
DOI:
https://doi.org/10.37569/DalatUniversity.16.1.1446(2026)Keywords:
Digital economy, Labor market dynamics, Skill demand, Southeast Asia, Wage polarization.Abstract
This study examines the causal impact of digital transformation on labor market dynamics in Vietnam and Thailand between 2015 and 2023. Using a matched firm-level panel and a robust propensity score matching with a difference-in-differences approach, the analysis reveals that digital adoption induces significant structural shifts in employment, amplifies wage polarization, and intensifies demand for digital skills. Vietnam, with its manufacturing-driven economy, experiences substantial job displacement (–8%) and modest high-skilled wage gains (+18%), while Thailand’s service-oriented economy fosters smoother labor reallocation and stronger wage growth for skilled labor (+22%). Digital skill demand rises notably in both countries (+25% in Vietnam, +30% in Thailand), reflecting evolving occupational requirements. Robustness checks, including placebo tests, alternative matching techniques, and triple differences, confirm the consistency of these findings. The study advances theoretical understanding by integrating the resource-based view and labor market segmentation theory to explain how digital capabilities and labor structures mediate these outcomes. Policy implications emphasize targeted upskilling, small and medium enterprise digitalization, and rural infrastructure investment to ensure inclusive growth. By offering empirical evidence from under-researched emerging economies, this study contributes to the global discourse on equitable digital transitions and labor resilience in the digital age.
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References
Abadie, A. (2005). Semiparametric difference-in-differences estimators. The Review of Economic Studies, 72(1), 1–19. https://doi.org/10.1111/0034-6527.00321
Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. https://doi.org/10.1257/aer.20160696
Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244. https://doi.org/10.1086/705716
Ackerberg, D., Caves, K., & Frazer, G. (2015). Identification properties of recent production function estimators. Econometrica, 83(6), 2411–2451. https://doi.org/10.3982/ECTA13408
Ahrens, D., Benedikter, S., & Giessen, L. (2025). Rethinking synergies and trade-offs at the forest-sustainable development goals (SDGs) nexus–A systematic review. Sustainable Development. Advance online publication. https://doi.org/10.1002/sd.3372
Ali, Md. I. (2025). Does employee organising power matter on wage levels in Canadian gig economy: The role of unionisation, inflation, immigration and information and communication technology. International Journal of Organizational Analysis. Advance online publication. https://doi.org/10.1108/IJOA-07-2024-4684
Austin, P. C., & Stuart, E. A. (2021). The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differences. Statistics in Medicine, 40(1), 101–118. https://doi.org/10.1002/sim.8764
Autor, D., Dorn, D., Hanson, G., & Majlesi, K. (2020). Importing political polarization? The electoral consequences of rising trade exposure. American Economic Review, 110(10), 3139–3183. https://doi.org/10.1257/aer.20170011
Baldwin, R., Freeman, R., & Theodorakopoulos, A. (2023). Hidden exposure: Measuring US supply chain reliance. Brookings Papers on Economic Activity, 2023(2), 79–134. https://doi.org/10.1353/eca.2023.a935416
Barney, J. B. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27(6), 643–650. https://doi.org/10.1177/014920630102700602
Becker, G. M., Degroot, M. H., & Marschak, J. (1964). Measuring utility by a single-response sequential method. Behavioral Science, 9(3), 226–232. https://doi.org/10.1002/bs.3830090304
Black, S. E., Liepmann, H., Remigereau, C., & Spitz-Oener, A. (2022). Government aid and child refugees’ economic success later in life: Evidence from post-WWII GDR refugees. Labour Economics, 75, 102099. https://doi.org/10.1016/j.labeco.2021.102099
Bodewig, C., Badiani-Magnusson, R., Macdonald, K., Newhouse, D., & Rutkowski, J. (2014). Skilling up Vietnam: Preparing the workforce for a modern market economy. World Bank Publications.
Braesemann, F., Lehdonvirta, V., & Kässi, O. (2022). ICTs and the urban-rural divide: Can online labour platforms bridge the gap? Information, Communication & Society, 25(1), 34–54. https://doi.org/10.1080/1369118X.2020.1761857
Bresnahan, T., & Yin, P.-L. (2017). Adoption of new information and communications technologies in the workplace today. Innovation Policy and the Economy, 17, 95–124. https://doi.org/10.1086/688846
Brynjolfsson, E., McAfee, A., & Spence, M. (2014). New world order: Labor, capital, and ideas in the power law economy. Foreign Affairs, 93(4), 44–53. https://www.foreignaffairs.com/united-states/new-world-order
Buera, F. J., & Kaboski, J. P. (2012). The rise of the service economy. American Economic Review, 102(6), 2540–2569. https://doi.org/10.1257/aer.102.6.2540
Buzzelli, G. (2025). Automation and segmentation: Downgrading employment quality among the former “insiders” of Western European labour markets. International Journal of Social Welfare, 34(2), e70011. https://doi.org/10.1111/ijsw.70011
Chodorow-Reich, G., & Wieland, J. (2020). Secular labor reallocation and business cycles. Journal of Political Economy, 128(6), 2245–2287. https://doi.org/10.1086/705717
Ciarli, T., Kenney, M., Massini, S., & Piscitello, L. (2021). Digital technologies, innovation, and skills: Emerging trajectories and challenges. Research Policy, 50(7), 104289. https://doi.org/10.1016/j.respol.2021.104289
Ciravegna, L., Ahlstrom, D., Michailova, S., Oh, C. H., & Gaur, A. (2023). Exogenous shocks and MNEs: Learning from pandemics, conflicts, and other major disruptions. Journal of World Business, 58(6), 101487. https://doi.org/10.1016/j.jwb.2023.101487
Cuccu, L. (2023). Struggling workers in a changing world: Three essays on labour economics and political economy [Doctoral dissertation, Universitat de Barcelona]. https://diposit.ub.edu/dspace/handle/2445/201298
Deng, X., Guo, M., & Liu, Y. (2023). Digital economy development and the urban-rural income gap: Evidence from Chinese cities. PLoS ONE, 18(2), e0280225. https://doi.org/10.1371/journal.pone.0280225
Ding, W., Wu, Q., & Xu, X. (2024). Digital infrastructure construction and improvement of non-farm employment quality of rural labor force–From the perspective of informal employment. Sustainability, 16(13), 5345. https://doi.org/10.3390/su16135345
Doan, T., Ha, V., Tran, T., & Yang, J. (2023). Dynamics of wage inequality over the prolonged economic transformation: The case of Vietnam. Economic Analysis and Policy, 78, 816–834. https://doi.org/10.1016/j.eap.2023.04.029
Donovan, K., Lu, W. J., & Schoellman, T. (2023). Labor market dynamics and development. The Quarterly Journal of Economics, 138(4), 2287–2325. https://doi.org/10.1093/qje/qjad019
Duan, M., Hou, Y., Zhang, B., Chen, C., Sun, Y., Luo, Y., & Tan, T. (2024). Skill sets and wage premium: A network analysis based on Chinese agriculture online job offers. Technological Forecasting and Social Change, 201, 123260. https://doi.org/10.1016/j.techfore.2024.123260
Feigenbaum, J., & Gross, D. P. (2024). Answering the call of automation: How the labor market adjusted to mechanizing telephone operation. The Quarterly Journal of Economics, 139(3), 1879–1939. https://doi.org/10.1093/qje/qjae005
Gaglio, C., Kraemer-Mbula, E., & Lorenz, E. (2022). The effects of digital transformation on innovation and productivity: Firm-level evidence of South African manufacturing micro and small enterprises. Technological Forecasting and Social Change, 182, 121785. https://doi.org/10.1016/j.techfore.2022.121785
Giustiziero, G., Kretschmer, T., Somaya, D., & Wu, B. (2023). Hyperspecialization and hyperscaling: A resource‐based theory of the digital firm. Strategic Management Journal, 44(6), 1391–1424. https://doi.org/10.1002/smj.3365
Goldfarb, A., & Tucker, C. (2019). Digital economics. Journal of Economic Literature, 57(1), 3–43. https://doi.org/10.1257/jel.20171452
Gravina, A. F., & Foster-McGregor, N. (2024). Unraveling wage inequality: Tangible and intangible assets, globalization and labor market regulations. Empirical Economics, 67(4), 1375–1420. https://doi.org/10.1007/s00181-024-02587-y
Gruber, J. (1994). The incidence of mandated maternity benefits. The American Economic Review, 84(3), 622–641. https://www.jstor.org/stable/2118071
Hainmueller, J. (2012). Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, 20(1), 25–46. https://doi.org/10.1093/pan/mpr025
Hazrat, M. A., Hassan, N. M. S., Chowdhury, A. A., Rasul, M. G., & Taylor, B. A. (2023). Developing a skilled workforce for future industry demand: The potential of digital twin-based teaching and learning practices in engineering education. Sustainability, 15(23), 16433. https://doi.org/10.3390/su152316433
Hickel, J., Hanbury Lemos, M., & Barbour, F. (2024). Unequal exchange of labour in the world economy. Nature Communications, 15(1), 6298. https://doi.org/10.1038/s41467-024-49687-y
Imbens, G. W., & Wooldridge, J. M. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature, 47(1), 5–86. https://doi.org/10.1257/jel.47.1.5
Le, T. M. H., & Tran, V. H. (2024). The effect of economic growth level, trade openness, FDI on tax revenues in four low-income countries in Southeast Asia. Edelweiss Applied Science and Technology, 8(6), 4212–4218. https://doi.org/10.55214/25768484.v8i6.2921
Le, T., Nguyen, H. Q., & Vu, M. (2024). Robot revolution and human capital accumulation: Implications for growth and labour income. Journal of Evolutionary Economics, 34(1), 89–126. https://doi.org/10.1007/s00191-024-00854-w
Li, Y., Zhang, J., & Lyu, Y. (2023). Toward inclusive green growth for sustainable development: A new perspective of labor market distortion. Business Strategy and the Environment, 32(6), 3927–3950. https://doi.org/10.1002/bse.3346
Lim, W. M., Srivastava, S., Jain, A. K., Malik, N., & Gupta, S. (2023). When employees feel betrayed: The mediating role of psychological contract violation on nepotism and workplace commitment in the hotel industry. International Journal of Hospitality Management, 108, 103381. https://doi.org/10.1016/j.ijhm.2022.103381
Lin, W., Shao, Y., Li, G., Guo, Y., & Zhan, X. (2021). The psychological implications of COVID-19 on employee job insecurity and its consequences: The mitigating role of organization adaptive practices. Journal of Applied Psychology, 106(3), 317–329. https://doi.org/10.1037/apl0000896
Liu, Y., Barrett, C. B., Pham, T., & Violette, W. (2020). The intertemporal evolution of agriculture and labor over a rapid structural transformation: Lessons from Vietnam. Food Policy, 94, 101913. https://doi.org/10.1016/j.foodpol.2020.101913
Maarek, P., & Moiteaux, E. (2021). Polarization, employment and the minimum wage: Evidence from European local labor markets. Labour Economics, 73, 102076. https://doi.org/10.1016/j.labeco.2021.102076
Marion, T. J., & Fixson, S. K. (2021). The transformation of the innovation process: How digital tools are changing work, collaboration, and organizations in new product development. Journal of Product Innovation Management, 38(1), 192–215. https://doi.org/10.1111/jpim.12547
Martins-Neto, A., Mathew, N., Mohnen, P., & Treibich, T. (2024). Is there job polarization in developing economies? A review and outlook. The World Bank Research Observer, 39(2), 259–288. https://doi.org/10.1093/wbro/lkad008
Morganti, P., & Valdes, R. C. (2023). The perils of asymmetrical technological changes in a knowledge economy with complete markets. Sustainability, 15(17), 12867. https://doi.org/10.3390/su151712867
Nguyen, T. N., Truong, Q., & Buyens, D. (2011). Training and firm performance in economies in transition: A comparison between Vietnam and China. Asia Pacific Business Review, 17(1), 103–119. https://doi.org/10.1080/13602381003773982
Pichler, A., Pangallo, M., del Rio-Chanona, R. M., Lafond, F., & Farmer, J. D. (2022). Forecasting the propagation of pandemic shocks with a dynamic input-output model. Journal of Economic Dynamics and Control, 144, 104527. https://doi.org/10.1016/j.jedc.2022.104527
Rao, D. T., Sethi, N., Dash, D. P., & Bhujabal, P. (2023). Foreign aid, FDI and economic growth in South-East Asia and South Asia. Global Business Review, 24(1), 31–47. https://doi.org/10.1177/0972150919890957
Reymert, I., Jungblut, J., & Borlaug, S. B. (2021). Are evaluative cultures national or global? A cross-national study on evaluative cultures in academic recruitment processes in Europe. Higher Education, 82(5), 823–843. https://doi.org/10.1007/s10734-020-00659-3
Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. https://doi.org/10.1093/biomet/70.1.41
Sanchez-Riofrio, A. M., Lupton, N. C., & Rodríguez-Vásquez, J. G. (2022). Does market digitalization always benefit firms? The Latin American case. Management Decision, 60(7), 1905–1921. https://doi.org/10.1108/MD-01-2021-0117
Senasi, V., Halim, S. K., & Parasuraman, B. (2021). Minimum wage policy: Is there any impact on low skilled workers in electrical and electronics companies in Malaysia? International Journal of Business & Society, 22(1), 422–430. https://publisher.unimas.my/ojs/index.php/IJBS/article/view/3186
Sevcenko, V., Wu, L., Kacperczyk, A., & Ethiraj, S. (2022). Surplus division between labor and capital: A review and research agenda. Academy of Management Annals, 16(1), 334–390. https://doi.org/10.5465/annals.2019.0130
Siddoo, V., Sawattawee, J., Janchai, W., & Thinnukool, O. (2019). An exploratory study of digital workforce competency in Thailand. Heliyon, 5(5), e01723. https://doi.org/10.1016/j.heliyon.2019.e01723
Singh, A., & Hassan, S. C. (2024). Identifying the skill gap in the workplace and their challenges in hospitality and tourism organisations. In A. M. Thake, K. Sood, E. Özen, & S. Grima (Eds.), Contemporary challenges in social science management: Skills gaps and shortages in the labour market (pp. 101–114). Emerald Publishing Limited. https://doi.org/10.1108/S1569-37592024000112B006
Souto-Otero, M., Brown, P., & Freebody, S. (2023). High skilled workplaces, technological change and employment: Can educational reform do it? International Journal of Educational Research, 122, 102265. https://doi.org/10.1016/j.ijer.2023.102265
Suwandaru, A., Sudiyono, W., Shawdari, A., & Fristin, Y. (2024). Understanding the economic drivers of climate change in Southeast Asia: An econometric analysis. Economies, 12(8), 200. https://doi.org/10.3390/economies12080200
Szalavetz, A. (2023). Digital technologies shaping the nature and routine intensity of shopfloor work. Competition & Change, 27(2), 277–301. https://doi.org/10.1177/10245294221107489
Tang, H., & Xu, G. (2025). Digital wings: The effect of digital technology adoption on market power. Journal of Economics & Management Strategy. Advance online publication. https://doi.org/10.1111/jems.12630
Ueasangkomsate, P. (2025). Empowering Thai SMEs through IT competency, digitalization and digital transformation for new product development. Cogent Business & Management, 12(1), 2458758. https://doi.org/10.1080/23311975.2025.2458758
Vannutelli, S., Scicchitano, S., & Biagetti, M. (2022). Routine-biased technological change and wage inequality: Do workers’ perceptions matter? Eurasian Business Review, 12(3), 409–450. https://doi.org/10.1007/s40821-022-00222-3
Vu, K., & Hartley, K. (2018). Promoting smart cities in developing countries: Policy insights from Vietnam. Telecommunications Policy, 42(10), 845–859. https://doi.org/10.1016/j.telpol.2017.10.005
Vučeković, M., Avlijaš, G., Marković, M. R., Radulović, D., Dragojević, A., & Marković, D. (2023). The relationship between working in the “gig” economy and perceived subjective well-being in Western Balkan countries. Frontiers in Psychology, 14, 1180532. https://doi.org/10.3389/fpsyg.2023.1180532
Wang, D., Sørensen, O. J., & Moini, H. (2018). Disentangling the value creation mechanism in cross-border acquisitions: A process-oriented approach. Thunderbird International Business Review, 60(3), 387–409. https://doi.org/10.1002/tie.21848
Wen, L., & Sun, S. (2023). Can China’s new rural pension scheme alleviate the relative poverty of rural households? An empirical analysis based on the PSM‐DID method. Australian Economic Papers, 62(3), 396–429. https://doi.org/10.1111/1467-8454.12295
Wolcott, E. L. (2021). Employment inequality: Why do the low-skilled work less now? Journal of Monetary Economics, 118, 161–177. https://doi.org/10.1016/j.jmoneco.2020.09.004
Wongwuttiwat, J., Lawanna, T., & Tantontrakul, T. (2024). The state of digital technology and innovation development: The comparative position of Thailand in ASEAN. The Electronic Journal of Information Systems in Developing Countries, 90(4), e12311. https://doi.org/10.1002/isd2.12311
Yao, Y., & Zhang, Y. (2023). The long-term and intergenerational effects of early-life hunger experience on human capital and labor market outcomes. China Economic Review, 77, 101914. https://doi.org/10.1016/j.chieco.2022.101914
Yılmaz, Ö., Son, Y., Shang, G., & Arslan, H. A. (2024). Causal inference under selection on observables in operations management research: Matching methods and synthetic controls. Journal of Operations Management, 70(5), 831–859. https://doi.org/10.1002/joom.1318
Zhou, J., Hui, E. C.-M., & Peng, H. (2024). Are robots crowding out migrant workers? Evidence from urban China. Habitat International, 152, 103154. https://doi.org/10.1016/j.habitatint.2024.103154
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