DOI: https://doi.org/10.61435/ijred.2026.62580

Impact of Development and Application of Advanced Technology on Labor Productivity and Energy Management Efficiency in Vietnam

Banking Academy of Vietnam, Viet Nam

Received: 18 Feb 2026; Revised: 4 Apr 2026; Accepted: 27 Apr 2026; Published: 1 Jul 2026.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2025 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

This paper focuses on the impacts of the development and the use of advanced technology on labor productivity and energy management efficiency in Vietnam based on annual data between 1990 and 2024 in an econometric time-series model. The analysis is a combination of internet penetration, renewable energy consumption, renewable electricity generation, GDP growth, and labor productivity using GDP per person employed. Evaluation of stationarity with the Augmented Dickey-Fuller test and the Phillips-Perron test proves mixed integration orders and thus can be estimated with an Autoregressive Distributed Lag model. Descriptive analysis demonstrates that the internet penetration has been growing since the early 1990s, and now, it is more than 79 %, whereas the labor productivity has been steadily increasing throughout the entire period of study. The ARDL findings show that there is a very high productivity persistence, and the lagged dependent variable coefficient is very high, 0.9929, which proves that the past productivity has a very strong influence on the current productivity. The immediate effect of GDP growth has a large positive value of 0.0069 with a lagged value of 0.0024. The internet penetration yields a lagged productivity impact with a non-significant short-run coefficient of -0.0010 turned into a positive one, 0.0014, showing the digital advantages in adaptation. Long-run estimates also indicate a good adjustment of the form of the positive first lag of labor productivity (1.3456) and the negative second lag (-0.3373). The error correction term is statistically insignificant (0.1681), indicating slow adjustment of the equilibrium. The residual stability, normality, and homoscedasticity are validated through diagnostic tests and prove the reliability of the model and the relevance of the policy.

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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