Bridging digital innovation and energy justice: The role of artificial intelligence in advancing energy equity
-
DOIhttp://dx.doi.org/10.21511/ee.16(4).2025.11
-
Article InfoVolume 16 2025, Issue #4, pp. 166-181
- 9 Views
-
1 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
Global progress toward universal access to affordable, reliable, and clean energy has stalled, with over two billion people still lacking access to clean cooking, and affordability pressures are rising. AI is emerging as an energy-intensive technology and a potential enabler of more equitable energy systems. This paper assesses whether AI vibrancy contributes to advancing energy equity across countries while accounting for differences in economic capacity. The study employs a balanced panel of 36 countries from 2017 to 2023 (252 observations), drawing on the Global AI Vibrancy Tool, World Bank Open Data, and the World Energy Council’s Energy Trilemma Index. Box–Cox transformations were applied to address skewness, and panel econometric models (fixed and random effects) with robust standard errors were estimated. The FE model shows no significant within-country effect of AI vibrancy on energy equity (R² = 0.012). The RE model indicates a positive association: a one-unit increase in the AI vibrancy score results in an improvement of 0.00165 in the energy equity index (p < 0.01). At the same time, GDP per capita exerts a strong and highly significant effect (p < 0.001). The RE model explains 12.4% of the overall variation in energy equity. After correcting for heteroscedasticity and cross-sectional dependence, GDP per capita remains significant, whereas the effect of AI vibrancy weakens to marginal significance (p ≈ 0.09). Country-specific effects further reveal systematic over- and under-performance beyond what AI vibrancy and income predict, underscoring the critical role of governance and institutional quality in shaping energy equity outcomes.
Acknowledgment
The article was prepared as a part of the MSCA4Ukraine project 06030419, European Union’s Horizon 2020 Research and Innovation Programme. Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union, the European Research Executive Agency, or the MSCA4Ukraine Consortium. Neither the European Union nor the European Research Executive Agency, nor the MSCA4Ukraine Consortium as a whole, nor any individual member institutions of the MSCA4Ukraine Consortium can be held responsible for them.
- Keywords
-
JEL Classification (Paper profile tab)Q01, O42, O48, O33
-
References63
-
Tables4
-
Figures3
-
- Figure 1. The Box-Cox likelihood profile for y
- Figure 2. The Box–Cox likelihood profile for x1
- Figure 3. The effect of applying Box–Cox transformations to the Vibrancy Score (x1) and the Energy Equity Index (y)
-
- Table 1. Descriptive statistics of variables
- Table 2. Fixed effects and random effects estimates for Energy Equity Index
- Table 3. RE model with robust standard errors
- Table 4. Estimated country effects from the random effects model
-
- Ahmad, T., Zhang, D., Huang, C., Zhang, H., Dai, N., Song, Y., & Chen, H. (2021). Artificial intelligence in the sustainable energy industry: Status Quo, challenges and opportunities. Journal of Cleaner Production, 289, Article 125834.
- Ahmed, S. (2025). The US strategy of multidomain containment and China’s counter-responses in the Indo-Pacific (2019–2025). Geopolitics under Globalization, 6(1), 45-58.
- Akcura, E., & Bloch, F. C. (2025, May 19). The high price of cheap fuel: What new global data reveals about liquid fuel subsidies. World Bank Blogs.
- Androniceanu, A. (2024). Generative artificial intelligence, present and perspectives in public administration. Administratie si Management Public, 43(43), 105-119.
- Artyukhov, A., Havrylenko, O., Churikanova, O., & Mohylna, K. (2024). Overcoming barriers to developing clean and digital energy start-ups: Access to credit and protection of minority investors’ rights. Financial Markets, Institutions and Risks, 8(4), 226-248.
- Ayu Gusti, M., Satrianto, A., Candrianto, Juniardi, E., & Fitra, H. (2024). Artificial intelligence for employee engagement and productivity. Problems and Perspectives in Management, 22(3), 174-184.
- Barodi, M., & Lalaoui, S. (2025). Civil servants’ readiness for AI adoption: The role of change management in Morocco’s public sector. Problems and Perspectives in Management, 23(1), 63-75.
- Bashynska, I., Kryvda, V., Sala, D., Niekrasova, L., Maksymov, O., & Suvorov, V. (2024). Simulation model of a unified energy system for different scenarios of planned disturbances. Energies, 17(23), Article 6136.
- Black, S., Liu, A.A., Parry I.W.H., & Vernon, N. (2023). IMF Fossil Fuel Subsidies Data: 2023 Update (IMF Working Papers 2023, 169). International Monetary Fund.
- Chandran, K. R. P., & Ittimani Tholath, D. (2025). Digital insurance acceptance among older adults in the context of AI. Insurance Markets and Companies, 16(1), 131-145.
- Dobrovolska, O., Ortmanns, W., Podosynnikov, S., Halynskyi, D., & Miniailo, A. (2024). Start-ups and entrepreneurship in renewable energy: Investments and risks. Financial Markets, Institutions and Risks, 8(2), 213-240.
- El Massaoudi, E.M., El Hammoumi, A., Seghyar, N., & El Ouali, A. (2025). Digital transformation and improvement of management control: Empirical study in financial institutions. Investment Management and Financial Innovations, 22(3), 455-469.
- Elmaghraby, I., Khourshed, N. F., Ragheb, M. A., & Beshr, M. H. (2025). Studying the requirements and socioeconomic challenges of digitalization on sustainability: An applied study in the petrochemical industry. SocioEconomic Challenges, 9(2), 21-39.
- Glos, J., & Karwot, J. (2025). Study of customer attitudes toward AI-driven solutions in customer support services. Knowledge Economy and Lifelong Learning, 1(2), 24-49.
- Haley, P. (2025). Artificial intelligence and ethical dimensions of automated traffic enforcement: Implications for public health, healthcare equity, and social justice. Health Economics and Management Review, 6(2), 32-49.
- Haley, P., & Burrell, D. N. (2025). Integrating artificial intelligence into law enforcement: Socioeconomic and ethical challenges. SocioEconomic Challenges, 9(2), 60-77.
- Halynskyi, D., Lytiuha, Y., & Telizhenko, O. (2024). The impact of tax burden payment indicators and ease of tax compliance on the development of clean and digital energy startups. Financial Markets, Institutions and Risks, 8(4), 204-225.
- Hrytsenko, L., Krawczyk, D., Derkach, L., & Kolomiiets, S. (2024). The role of smart city in achieving sustainable development: Google Trends analysis and exponential time series smoothing models. Business Ethics and Leadership, 8(1), 190-202.
- Hudak, M., Čermáková, K., Kadeřábková, B., & Popescu, I.A. (2025). Policy analysis of the German gas storage levy at cross-border points: Implications for flows, prices, and regional market integration. Economics and Sociology, 18(2), 246-270.
- Ibadildin, N., Kenzhin, Z., Yeshenkulova, G., Ismailova, R., Nurguzhina, A., Nassanbekova, S., & Kadyrova, A. (2025). Artificial intelligence in project management: A bibliometric analysis. Problems and Perspectives in Management, 23(2), 252-264.
- IEA. (2024). Tracking SDG7: The Energy Progress Report, 2024. Washington, DC: IEA, IRENA, UNSD, World Bank, WHO.
- IEA. (2025). Energy and AI (IEA World Energy Outlook Special Report). Paris: International Energy Agency Directorate of Sustainability, Technology and Outlooks.
- IRENA. (2019). Innovation landscape brief: Artificial intelligence and big data. Abu Dhabi: International Renewable Energy Agency.
- Kajda, K., & Karwot, J. (2025). The role of artificial intelligence in revolutionizing industrial automation for municipal waste management in Industry 4.0. Green Transition and Sustainable Development, 1(1), 37-63.
- Khan, M. R., Haider, Z. M., Malik, F. H., Almasoudi, F. M., Alatawi, K. S. S., & Bhutta, M. S. (2024). A comprehensive review of microgrid energy management strategies considering electric vehicles, energy storage systems, and AI techniques. Processes, 12(2), Article 270.
- Kildei, A., Tumpach, M., & Shafranova, K. (2025). Artificial intelligence for smart customer feedback management: Improving content analysis approaches. Knowledge Economy and Lifelong Learning, 1(1), 48-65.
- Koldovskyi, A., Babenko, K., Shafranova, K., & Dyvynska, Y. (2025). The role of AI in enhancing sustainable business leadership and organizational resilience. Business Ethics and Leadership, 9(2), 188-199.
- Kontautienė, R., Stravinskas, T., & Barkauskas, V. (2024). Forecasts of sustainable consumption in small economies. Journal of International Studies, 17(2), 9-37.
- Kozhakhmetova, A., Mamyrbayev, A., Zhidebekkyzy, A., & Bilan, S. (2024). Assessing the impact of artificial intelligence on project efficiency enhancement. Knowledge and Performance Management, 8(2), 109-126.
- Kritikos, I., Sarantopoulos, A., Roumeliotis, A., Vasiliades, J., & Matsinas, I. (2025). Unlocking the potential of artificial intelligence in pharma research and development: Insights from investor and researcher perspectives. Health Economics and Management Review, 6(2), 1-16.
- Kumar, S.D.K., & Kumar J.P.S. (2024). Efficiency assessment and trends in the insurance industry: A bibliometric analysis of DEA application. Insurance Markets and Companies, 15(1), 83-98.
- Kurbatova, T., Sotnyk, I., Prokopenko, O., Bashynska, I., & Pysmenna, U. (2023). Improving the feed-in tariff policy for renewable energy promotion in Ukraine’s households. Energies, 16(19), Article 6773.
- Kuzior, A., Kovalenko, Y., Tiutiunyk, I., & Hrytsenko, L. (2025). Assessment of the energy security of EU countries in light of the expansion of renewable energy sources. Energies, 18(8), Article 2126.
- Kuzior, A., Sira, M., & Brozek, P. (2022). Using blockchain and artificial intelligence in energy management as a tool to achieve energy efficiency. Virtual Economics, 5(3), 69-90.
- Lazaroiu, G., & Rogalska, E. (2024). Generative artificial intelligence marketing, algorithmic predictive modelling, and customer behaviour analytics in the multisensory, extended reality metaverse. Oeconomia Copernicana, 15(3), 825-835.
- Li, R., Xin, Y., Sotnyk, I., Kubatko, O., Almashaqbeh, I., Fedyna, S., & Prokopenko, O. (2022). Energy poverty and energy efficiency in emerging economies. International Journal of Environment and Pollution, 69(1-2), 1-21.
- Liu, Z., Zhang, X., Sun, Y., & Zhou, Y. (2023). Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings – A state-of-the-art review. Energy and Buildings, 297, Article 113436.
- Lyeonov, S., Podosynnikov, S., & Strielkowski, W. (2025a). Does a reliable electricity grid connection matter for the development of European renewable energy startups? Energy Policy, 206, Article 114749.
- Lyeonov, S., Rosokhata, A., Bilan, S., Khomenko, L., Kuznyetsova, A., Myroshnychenko, I., & Letunovska, N. (2025b). Emotion-based insights into pro-environmental video campaigns: A study on waste sorting behavior in Ukraine. Environmental Economics, 16(2), 50-72.
- Lyeonov, S., Serhiienko, R., Kašťáková, E., Bato, V., Luptáková, A., Avetikyan, V., & Avetikyan, A. (2025c). Public interest and scholarly output on renewable energy and the shadow economy: Evidence from Google Trends and academic databases. Knowledge and Performance Management, 9(2), 95-112.
- Mukhtarov, S., Aliyev, J., Jabiyev, F., & Aslan, D. H. (2024). The role of institutional quality in reducing environmental degradation in Canada. Economics and Sociology, 17(1), 89-102.
- Mura, L., & Stehlíková, B. (2025). The ethics of artificial intelligence: Safeguarding human dignity, social justice and environmental stability in the age of AI. Equilibrium. Quarterly Journal of Economics and Economic Policy, 20(2), 479-507.
- Oesterreich, M., & Barej-Kaczmarek, E. (2024). Assessment of energy poverty in EU countries in 2010–2022. Journal of International Studies, 17(2), 75-99.
- Piwowarski, B. (2024). Increasing energy awareness through effective advertising messages – A neurophysiological approach to engagement study. Human Technology, 20(3), 676-700.
- Pollifroni, M., Ioana, A., Canuta, I. L., & Pollifroni, F. (2025). AI-driven e-recruitment in education and science: Moving towards good governance, prevention of corruption, administrative transparency, and bias-free decision-making. Business Ethics and Leadership, 9(2), 225-237.
- Prokopenko, O., Kurbatova, T., Khalilova, M., Zerkal, A., Prause, G., Binda, J., Berdiyorov, T., Klapkiv, Y., Sanetra-Półgrabi, S., & Komarnitskyi, I. (2023). Impact of investments and R&D costs in renewable energy technologies on companies’ profitability indicators: Assessment and forecast. Energies, 16(3), Article 1021.
- Samusevych, Y., Rącka, I., Vasylieva, T., & Tóth, A. (2024). Environmental tax reform efficiency: Prerequisites and consequences. Journal of International Studies, 17(4), 90-108.
- Sidii, F. S. (2024). Navigating the intersection of digital security, resilience and sustainability in healthcare: A theoretical framework and case study of Ghana. Health Economics and Management Review, 5(4), 130-146.
- Sitnicki, M. W., Horbas, I., Derkach, O., Flowers, A., Wielewska, I., Tucki, K., Zuzek, D. K., & Pimenov, S. (2024a). Development and support of Ukrainian domestic entrepreneurship in the knowledge economy. Sustainability, 16(13), Article 5682.
- Sitnicki, M. W., Prykaziuk, N., Ludmila, H., Pimenowa, O., Imbrea, F., Șmuleac, L., & Pașcalău, R. (2024b). Regional perspective of using cyber insurance as a tool for protection of Agriculture 4.0. Agriculture, 14(2), Article 320.
- Stanford University. (n.d.). Global AI vibrancy tool – AI index. Stanford University Human-Centered Artificial Intelligence.
- United Nations Statistics Division Development Data and Outreach Branch (UNSD). (2024). SDG Indicators. Goal 7: Affordable and clean energy. UNSD.
- Vakulenko, I., & Rekunenko, I. (2025). Clean energy projects for European integration and cooperation (185 p.). Hamburg, Germany: The Academic Research and Publishing UG (i. G.).
- Wang, X., Wang, K., Safi, A., & Umar, M. (2025). How is artificial intelligence technology transforming energy security? New evidence from global supply chains. Oeconomia Copernicana, 16(1), 15-38.
- Waqas, U., Umair, S., Mrugalska, B., & Ali Sulaiman, M. A. B. (2025). Twin transformation: The role of digitalization with artificial intelligence, big data and circular supply chain in circular economy performance for sustainability. Equilibrium. Quarterly Journal of Economics and Economic Policy, 20(2), 613-645.
- Wieczorek, A., & Postrzednik-Lotko, K. (2025). Machine learning algorithms on social media: Privacy risks, user awareness and security implications. Safety and Security Advances, 1(1), 18-43.
- World Bank. (2025, June 23). Energy: Affordable, accessible energy is at the heart of development, driving job creation, growth, and shared prosperity.
- World Bank. (n.d.). World Bank Open Data.
- World Energy Council. (n.d.). WEC Energy Trilemma Index Tool. WEC Energy Trilemma Index Tool.
- Yarovenko, H., Horbachova, O., Bylbas, R., & Latysh, D. (2025). Digitalization as a socio-economic challenge: Modeling the impact on the level of cybercrime considering socio-economic, technological and institutional factors. SocioEconomic Challenges, 9(2), 282-315.
- Yarovenko, H., Kuzior, A., Norek, T., & Lopatka, A. (2024). The future of artificial intelligence: Fear, hope or indifference? Human Technology, 20(3), 611-639.
- Zakharchenko, A., Kushnerov, O., Kubaščikova, Z., & Babenko, K. (2025). An intelligent system for predicting staff turnover in HR processes based on neural networks. Knowledge Economy and Lifelong Learning, 1(1), 35-47.
- Zaryczańska, K., & Karwot, J. (2025). Analysis of occupational safety and health at the construction site based on images acquired from various sources using artificial intelligence. Safety and Security Advances, 1(1), 1-17.


