The Role of Technology in Improving Energy Efficiency and Its Impact on the Economy

A Fuzzy Logic-Based Study in the Gulf Countries

DOI

10.2991/978-94-6239-743-9_12How to use a DOI?

Keywords

Energy Efficiency; Technological Innovation; Fuzzy Logic; Gulf Countries; Energy Management; Sustainable Development; Digital Transformation; Energy Policy; Smart Technologies

Abstract

The study examined the dynamic relationship between technological advancement, energy efficiency, and economic performance in Gulf countries, using a Mamdani fuzzy inference system (FIS) as a methodological framework. Drawing on empirical evidence and literature, the study confirms that technology acts as a catalyst for economic transformation, particularly in regions striving to diversify away from oil-based revenues. The model developed integrates three core dimensions—technological innovation, energy-use efficiency, and strategic investment in digital infrastructure—and demonstrates their combined effect on economic outcomes. The Mamdani fuzzy system proved effective in capturing the nonlinear and linguistic nature of these relationships, offering a realistic and flexible analytical tool for policy assessment.

Key findings indicate that higher levels of technological innovation are positively associated with GDP growth and competitiveness. Energy efficiency improvements lead to operational cost reductions and better environmental-economic balance. Increased investment in digital technologies significantly contributes to economic diversification and job creation. Moreover, the fuzzy logic approach allows policymakers to handle uncertainty and vagueness in economic forecasting, especially in emerging digital economies like those of the GCC. In conclusion, the integration of advanced technology and sustainable energy management is not only desirable but essential for achieving long-term economic resilience in the Gulf region. Policymakers should therefore prioritize digital transformation strategies, support R&D ecosystems, and adopt data-driven tools such as fuzzy modeling to enhance decision-making under uncertainty.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Okba Mekhnane
PY  - 2026
DA  - 2026/08/11
TI  - The Role of Technology in Improving Energy Efficiency and Its Impact on the Economy
BT  - Proceedings of API Conference 2025: Empowering the future: Energy Transition and Economic Diversification in Arab Countries
PB  - Atlantis Press
SP  - 220
EP  - 231
SN  - 3005-155X
UR  - https://doi.org/10.2991/978-94-6239-743-9_12
DO  - 10.2991/978-94-6239-743-9_12
ID  - Mekhnane2026
ER  -