DOI: https://doi.org/10.61435/ijred.2026.62580
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Impact of development and application of advanced technology on labor productivity and energy management efficiency in Vietnam

1Banking Business Division, Faculty of Banking, Banking Academy of Vietnam, 12 Chua Boc, Kim Lien, Hanoi, Viet Nam

2Digital Banking Division, Faculty of Banking, Banking Academy of Vietnam, 12 Chua Boc, Kim Lien, Hanoi, Viet Nam

Received: 18 Feb 2026; Revised: 14 Apr 2026; Accepted: 7 May 2026; Available online: 11 May 2026; Published: 1 Jul 2026.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2026 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

Digital technology enhances labor productivity by automating repetitive tasks and improving data-driven decision-making, while simultaneously increasing energy management efficiency through smart monitoring and optimization systems. Therefore, this study examines the impact of advanced digital technology (proxied by internet penetration) on labor productivity and energy management efficiency in Vietnam using ARDL analysis of annual data from 1990 to 2024. The model includes internet penetration, GDP per person employed (labor productivity), renewable energy consumption, and GDP growth. ADF and PP tests confirm a mixed order of integration, I (0)/I (1), justifying the use of ARDL bounds testing. Descriptive analysis indicates rapid digitalization, with internet penetration increasing from 0% to 84.15%, alongside steady productivity growth, while renewable energy consumption exhibits a strong negative correlation with the time trend (r = -0.9855), suggesting a declining pattern. ARDL results reveal very high persistence in labor productivity (lagged coefficient = 0.9929, p < 0.001). GDP growth exerts significant short-run effects, whereas internet penetration shows a delayed impact, with an insignificant contemporaneous coefficient but a positive lagged effect. Long-run estimates suggest continued productivity momentum and positive contributions from digitalization and macroeconomic growth. However, the error correction term is positive and statistically insignificant (0.1681, p = 0.597), indicating the absence of a stable long-run equilibrium relationship. Diagnostic tests confirm residual normality and homoscedasticity, while the Durbin–Watson statistic (1.5403) suggests mild positive autocorrelation. Overall, the findings highlight delayed productivity gains from digital infrastructure, emphasizing the need for complementary institutional and structural adjustments.

Keywords: Energy management; Energy economy; Labor productivity; Renewable energy efficiency; ARDL modeling; Internet penetration

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Section: Original Research Article
Language : EN
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  1. Almeida, D., Neves Sequeira, T., 2024. Are Robots, Software, ICT and physical capital related to productivity? A panel quantile approach. Econ. Innov. New Technol. 33, 586–603. https://doi.org/10.1080/10438599.2023.2227954
  2. Anh, L.L., Ha, V.T., 2026. Vietnam’s Economy After Five Years of Implementing the Resolution of the 13th National Congress Resolution: Target Framework, Outcomes, And Strategic Orientations Toward A New Era of The Nation’s Rise. Am. J. Soc. Sci. Educ. Innov. 08, 47–54. https://doi.org/10.37547/tajssei/Volume08Issue01-06
  3. Anh, T.D., Binh, T.D., Long, N.D.B., Ai, T. Van, Tan, K.S., Van, N.T. Le, 2022. Strategic Vision for the Implementation of the Industrial Revolution 4.0 in the Vietnamese Context. Int. J. Technol. 13, 958. https://doi.org/10.14716/ijtech.v13i5.5838
  4. Apostol, S., Hernández-Rodríguez, E., 2025. Digitalisation in European regions: unravelling the impact of relatedness and complexity on digital technology adoption and productivity growth. Ind. Innov. 32, 772–801. https://doi.org/10.1080/13662716.2024.2423731
  5. Danh, N.T., 2025. Examining the relationship between exports and CO2 emissions in Vietnam. Univ. Danang - J. Sci. Technol. 28–34. https://doi.org/10.31130/ud-jst.2025.23(8A).199E
  6. Dil, D.A.R., 2025. Testing for Time Series Stationarity: A Practical Guide to the Dickey-Fuller and Augmented Dickey-Fuller Tests. https://doi.org/10.2139/ssrn.5287311
  7. Ding, L., Bai, Y., Liu, M.-D., Fan, M.-H., Yang, J., 2022. Predicting short wind speed with a hybrid model based on a piecewise error correction method and Elman neural network. Energy 244, 122630. https://doi.org/10.1016/j.energy.2021.122630
  8. Giap, L.N., Khanh, N.B., Trung, B.T., Le, N.P., An, T.N.T., Vinh, T.T., 2025. Assessing Vietnam’s CO2 Emission Roadmap to 2030 Based on the Revised Power Development Plan VIII Using the PyPSA Model. Eng. Technol. Appl. Sci. Res. 15, 28972–28976. https://doi.org/10.48084/etasr.13618
  9. Guo, Z., 2023. Research on the Augmented Dickey-Fuller Test for Predicting Stock Prices and Returns. Adv. Econ. Manag. Polit. Sci. 44, 101–106. https://doi.org/10.54254/2754-1169/44/20232198
  10. Ha-Duong, M., 2025. Power system planning in the energy transition era: the case of Vietnam’s power development plan 8. Clim. Policy 25, 562–577. https://doi.org/10.1080/14693062.2024.2401857
  11. Ha-Duong, M., 2024. Vietnam at the dawn of its energy transition. Mondes Dev. n° 205, 115–136. https://doi.org/10.3917/med.205.0115
  12. Hoang, A.T., Pham, V.V., Nguyen, X.P., 2021a. Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process. J. Clean. Prod. 305, 127161. https://doi.org/10.1016/j.jclepro.2021.127161
  13. Hoang, A.T., Sandro Nižetić, Olcer, A.I., Ong, H.C., Chen, W.-H., Chong, C.T., Thomas, S., Bandh, S.A., Nguyen, X.P., 2021b. Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: Opportunities, challenges, and policy implications. Energy Policy 154, 112322. https://doi.org/10.1016/j.enpol.2021.112322
  14. Hu, B., Shao, H., Shao, C., Tang, W., 2025. A satellite-based novel method to forecast short-term (10 min − 4 h) solar radiation by combining satellite-based cloud transmittance forecast and physical clear-sky radiation model. Sol. Energy 290, 113376. https://doi.org/10.1016/j.solener.2025.113376
  15. Hung, N.T., 2024. Remittance, Renewable Energy, and CO2 Emissions: a Vietnamese Illustration. J. Knowl. Econ. 15, 2096–2120. https://doi.org/10.1007/s13132-023-01238-4
  16. Kim, P., Bu, S., 2015. Error Control Strategy in Error Correction Methods. Kyungpook Math. J. 55, 301–311. https://doi.org/10.5666/KMJ.2015.55.2.301
  17. Kripfganz, S., Schneider, D.C., 2023. ardl: Estimating autoregressive distributed lag and equilibrium correction models. Stata J. Promot. Commun. Stat. Stata 23, 983–1019. https://doi.org/10.1177/1536867X231212434
  18. Kuma, B., Gata, G., 2023. Factors affecting food price inflation in Ethiopia: An autoregressive distributed lag approach. J. Agric. Food Res. 12, 100548. https://doi.org/10.1016/j.jafr.2023.100548
  19. Le, D.D., 2023. The impact of technological innovation on labor structure: Evidence from Vietnam SMES. Bull. Monet. Econ. Bank. 26, 88–135. https://doi.org/10.59091/1410-8046.2067
  20. Lee, C.-C., Zou, J., Chen, P.-F., 2025. The impact of artificial intelligence on the energy consumption of corporations: The role of human capital. Energy Econ. 143, 108231. https://doi.org/10.1016/j.eneco.2025.108231
  21. Leung, S.E., 2010. Vietnam: An economic survey. Asia. Pac. Econ. Lit. 24, 83–103. https://doi.org/10.1111/j.1467-8411.2010.01261.x
  22. Ling, C.H., Ahmed, K., Binti Muhamad, R., Shahbaz, M., 2015. Decomposing the trade-environment nexus for Malaysia: what do the technique, scale, composition, and comparative advantage effect indicate? Environ. Sci. Pollut. Res. 22, 20131–20142. https://doi.org/10.1007/s11356-015-5217-9
  23. Nam, N.B., Ogliari, E., Leva, S., Pafumi, E., Alberti, D., Duong, M.Q., 2025. Comparative analysis of conformal prediction techniques and machine learning models for very short-term solar power forecasting. Energy AI 21, 100573. https://doi.org/10.1016/j.egyai.2025.100573
  24. Ngo, D.-Q., Nguyen, H.-C., 2024. Monitoring and analysis of temperature distribution in reinforced concrete bridge box girders in Vietnam. Case Stud. Constr. Mater. 20, e02857. https://doi.org/10.1016/j.cscm.2024.e02857
  25. Nguyen, C.C., Le, X.T., 2025. Renewable Energy in Vietnam: Figures and Future Scope for Net-Zero Target. Inżynieria Miner. 1. https://doi.org/10.29227/IM-2025-02-41
  26. Nguyen Thi Tuyet, D., Hoang Thi Hang, N., Nguyen Thu, H., 2023. Solutions to promote digital transformation of construction industry in Vietnam. E3S Web Conf. 457, 02029. https://doi.org/10.1051/e3sconf/202345702029
  27. Nguyen, X.P., Le, N.D., Pham, V.V., Huynh, T.T., Dong, V.H., Hoang, A.T., 2025. Mission, challenges, and prospects of renewable energy development in Vietnam. Energy Sources, Part A Recover. Util. Environ. Eff. 47, 10367–10379. https://doi.org/10.1080/15567036.2021.1965264
  28. Niedzielski, T., Halicki, M., 2023. Improving Linear Interpolation of Missing Hydrological Data by Applying Integrated Autoregressive Models. Water Resour. Manag. 37, 5707–5724. https://doi.org/10.1007/s11269-023-03625-7
  29. Pesaran, M.H., Shin, Y., Smith, R.J., 2001. Bounds testing approaches to the analysis of level relationships. J. Appl. Econom. 16, 289–326. https://doi.org/10.1002/jae.616
  30. Prettner, K., Bloom, D.E., 2020. Automation and Its Macroeconomic Consequences. Elsevier. https://doi.org/10.1016/C2018-0-00345-X
  31. Raihan, A., Hasan, M.A., Voumik, L.C., Pattak, D.C., Akter, S., Ridwan, M., 2024. Sustainability in Vietnam: Examining economic growth, energy, innovation, agriculture, and forests’ impact on CO2 emissions. World Dev. Sustain. 4, 100164. https://doi.org/10.1016/j.wds.2024.100164
  32. Suleiman, H., Nguyen, M.-T.T., Mendez, C., 2025. Predicting subnational GDP in Vietnam with remote sensing data: a machine learning approach. Lett. Spat. Resour. Sci. 18, 5. https://doi.org/10.1007/s12076-025-00397-z
  33. Tan, V.K.N., Truong, V.P., Do, T.-X., 2022. The Influences of Technology on Digital Economy Development in Vietnam. Int. J. Softw. Innov. 9, 10–18. https://doi.org/10.4018/IJSI.289166
  34. Thi, M.T., Thi, N.N., Minh, T.V.T., Nguyen, D.T., Nguyen, L.T., 2025. Digital Technology Adoption and SME Performance in Vietnam: A Pilot Study of Innovation Capability and Entrepreneurial Orientation. J. Logist. Informatics Serv. Sci. 12, 118–134. https://doi.org/10.33168/JLISS.2025.0908
  35. Thuy Linh, D., 2025. Digital Transformation in Small and Medium Enterprises (SMEs) in Vietnam. Int. J. Adv. Multidiscip. Res. Stud. 5, 100–112. https://doi.org/10.62225/2583049X.2025.5.5.4866
  36. Thuy, V.N.T., Thuy, D.T.T., 2019. The Impact of Exchange Rate Volatility on Exports in Vietnam: A Bounds Testing Approach. J. Risk Financ. Manag. 12, 6. https://doi.org/10.3390/jrfm12010006
  37. Trung, N.T., 2025. The impact of GDP growth on banking stability in Vietnam: A PVAR model analysis. J. Accounting, Bus. Financ. Res. 20, 31–41. https://doi.org/10.55217/102.v20i2.996
  38. Truong, Q.H., Phi, V.T., Dong, V.-C., 2026. Impacts of FDI Presence and Product Sophistication on the Demand for Skilled and Unskilled Labour: Evidence from SMEs in Vietnam. J. Knowl. Econ. https://doi.org/10.1007/s13132-026-03248-4
  39. Venturini, F., 2022. Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution. J. Econ. Behav. Organ. 194, 220–243. https://doi.org/10.1016/j.jebo.2021.12.018
  40. Wasti, S.K.A., Zaidi, S.W., 2020. An empirical investigation between CO2 emission, energy consumption, trade liberalization and economic growth: A case of Kuwait. J. Build. Eng. 28, 101104. https://doi.org/10.1016/j.jobe.2019.101104
  41. World Bank, 2022. Viet Nam data [WWW Document]. URL https://data.worldbank.org/country/viet-nam (accessed 10.16.25)

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