AI-Driven Sustainability in EU Nations: A Quantile Regression Analysis of AI Innovations, Human Capital, and Carbon Productivity
DOI:
https://doi.org/10.63556/tisej.2025.1534Keywords:
Carbon productivity, Human capital, Artificial Intelligence, Green transition, Quantile regression, European UnionAbstract
This study investigates the heterogeneous effects of artificial intelligence (AI) innovations and human capital on carbon productivity in the European Union (EU), focusing on the mediating roles of tertiary education and data literacy. Using an unbalanced panel dataset covering 27 EU countries from 2000 to 2023, the analysis employs quantile regression to capture distributional differences across the conditional distribution of carbon productivity. The results reveal significant non-linearities: AI innovations positively affect carbon productivity at the lower quantile (Q25), but the effect turns negative at higher quantiles (Q75 and Q90), suggesting diminishing returns. Similarly, tertiary education enhances carbon productivity only at lower quantiles, while the interaction term between AI and education becomes strongly positive at the upper end of the distribution, indicating a complementary relationship in high-performing contexts. Conversely, the interaction between AI and data literacy remains negative and significant up to the 75th percentile, implying that digital skills alone may not be sufficient to translate technological progress into environmental efficiency. These findings underscore the importance of tailored green-digital policy strategies that simultaneously foster technological advancement and strengthen human capital foundations, particularly in economies aiming to boost carbon productivity as part of their climate commitments.
References
Akram, R., Chen, F., Khalid, F., Huang, G., & Irfan, M. (2021). Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: A fixed effect panel quantile regression analysis. Energy, 215. https://doi.org/10.1016/j.energy.2020.119019
Akyüz, Hayriye Esra (2023), “CO2 Emisyonu ve Birincil Enerji Tüketimi Arasındaki İlişkinin Kantil Regresyon Modeli ile İncelenmesi”, Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 11 (2023) 1529-1545
Alsayegh, M. F., Rahman, R. A., & Homayoun, S. (2020). Corporate economic, environmental, and social sustainability performance transformation through ESG disclosure. Sustainability (Switzerland), 12(9). https://doi.org/10.3390/su12093910
Asian Disaster Preparedness Center, Labelle, R., Center, A. D. P., & Labelle, R. (2013). ICT, Climate Change and Green Growth. February.
Cassiman, B., Golovko, E., & Martínez-Ros, E. (2010). Innovation, exports and productivity. International Journal of Industrial Organization, 28(4), 372–376. https://doi.org/10.1016/j.ijindorg.2010.03.005
Chang, H. (2023). Do Heterogeneous Environmental Policies Improve Environmental Quality While Promoting Economic Growth? Sustainability, 15(2), 1162. https://doi.org/10.3390/su15021162
Chen, S., Piao, X., Xie, J., & Managi, S. (2025). Human capital and regional disparities: Advancing accounting frameworks with education, health, and population dynamics. PLOS ONE, 20(3), e0315166. https://doi.org/10.1371/journal.pone.0315166
Chishti, M. Z., Salam, M., Xaisongkham, S., & Du, A. M. (2025). Influence of green ICT and socioeconomic factors on sustainable development: Evidence from Chinese provinces. Research in International Business and Finance, 73. https://doi.org/10.1016/j.ribaf.2024.102624
Dai, D., Fan, Y., Wang, G., & Xie, J. (2022). Digital Economy, R&D Investment, and Regional Green Innovation—Analysis Based on Provincial Panel Data in China. Sustainability (Switzerland), 14(11). https://doi.org/10.3390/SU14116508
Dechezleprêtre, A., Martin, R., & Mohnen, M. (2013). Knowledge spillovers from clean and dirty technologies: a patent citation analysis. http://www.lse.ac.uk/grantham.
Erdem, C., Oruç, E., Atar, C., & Bağcı, H. (2023). The mediating effect of digital literacy in the relationship between media literacy and digital citizenship. Education and Information Technologies, 28(5), 4875–4891. https://doi.org/10.1007/s10639-022-11354-4
European Commission. (2023). The European Green Deal. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal_en
European Commission. (2023). The European Green Deal. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal_en
European Environment Agency. (2023). Trends and projections in Europe 2023. https://www.eea.europa.eu/publications/trends-and-projections-2023
Eurostat. (2023). Digital skills statistics. https://ec.europa.eu/eurostat/statistics-explained/
Eurostat. (2023). Greenhouse gas emissions by country and sector. https://ec.europa.eu/eurostat
Eurostat. (2024). Artificial intelligence use in enterprises. https://ec.europa.eu/eurostat
Habiba, U., Xinbang, C., & Anwar, A. (2022). Do green technology innovations, financial development, and renewable energy use help to curb carbon emissions? Renewable Energy, 193, 1082–1093. https://doi.org/10.1016/J.RENENE.2022.05.084
Hao, L. N., Umar, M., Khan, Z., & Ali, W. (2021). Green growth and low carbon emission in G7 countries: How critical the network of environmental taxes, renewable energy and human capital is? Science of the Total Environment, 752, 141853. https://doi.org/10.1016/j.scitotenv.2020.141853
Hau, L., Zhu, H., Huang, R., & Ma, X. (2020). Heterogeneous dependence between crude oil price volatility and China’s agriculture commodity futures: Evidence from quantile-on-quantile regression. Energy, 213, 118781. https://doi.org/10.1016/j.energy.2020.118781
Hung, N. T. (2023). Green investment, financial development, digitalization and economic sustainability in Vietnam: Evidence from a quantile-on-quantile regression and wavelet coherence. Technological Forecasting and Social Change, 186. https://doi.org/10.1016/j.techfore.2022.122185
Husin, A., Helmi, H., Nengsih, Y. K., & Rendana, M. (2025). Environmental education in schools: sustainability and hope. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-025-00837-2
IPCC. (2023). Climate Change 2023: Synthesis Report. Intergovernmental Panel on Climate Change. https://www.ipcc.ch/report/sixth-assessment-report-synthesis
Khan, S. A. R., Yu, Z., Ridwan, I. L., Irshad, A. ur R., Ponce, P., & Tanveer, M. (2023). Energy efficiency, carbon neutrality and technological innovation: a strategic move towards green economy. Economic Research-Ekonomska Istrazivanja , 36(2). https://doi.org/10.1080/1331677X.2022.2140306
Li, J., & Imran, A. (2025). Sustainable Transitions: Navigating Green Technologies, Clean Energy, Economic Growth, and Human Capital for a Greener Future. Sustainability (Switzerland), 17(8). https://doi.org/10.3390/su17083446
Liu, H., Zhang, J., & Lei, H. (2023). Crowding in or crowding out? The effect of imported environmentally sound technologies on indigenous green innovation. Journal of Environmental Management, 345. https://doi.org/10.1016/J.JENVMAN.2023.118579
Majerník, M., Chovancová, J., Drábik, P., & Štofková, Z. (2023). Environmental Technological Innovations and the Sustainability of their Development. Ecological Engineering and Environmental Technology, 24(4), 245–252. https://doi.org/10.12912/27197050/162708
Meiwen, S., Ming, J., & Mengyu, L. (2025). Education, technology and high-quality economic development. International Review of Financial Analysis, 102. https://doi.org/10.1016/j.irfa.2025.104143
OECD. (2023). Artificial Intelligence in Society: Environment and Sustainability. https://www.oecd.org/going-digital/ai/
Ozkan, O., Haruna, R. A., ALOLA, A. A., Ghardallou, W., & Usman, O. (2023). Investigating the nexus between economic complexity and energy-related environmental risks in the USA: Empirical evidence from a novel multivariate quantile-on-quantile regression. Structural Change and Economic Dynamics, 65, 382–392. https://doi.org/10.1016/J.STRUECO.2023.03.010
Radu, L. D. (2016). Determinants of green ICT adoption in organizations: A theoretical perspective. In Sustainability (Switzerland) (Vol. 8, Issue 8). https://doi.org/10.3390/su8080731
Saba, C. S., Ngepah, N., & Odhiambo, N. M. (2025). The Nexus Between ICT Diffusion, Financial Development, Industrialization and Economic Growth: Evidence from Sub-Saharan African Countries. Journal of African Business. https://doi.org/10.1080/15228916.2025.2451550
Shabir, M., Hussain, I., Işık, Ö., Razzaq, K., & Mehroush, I. (2023). The role of innovation in environmental-related technologies and institutional quality to drive environmental sustainability. Frontiers in Environmental Science, 11. https://doi.org/10.3389/fenvs.2023.1174827
Škare, M., Gavurova, B., & Porada-Rochon, M. (2024). Digitalization and carbon footprint: Building a path to a sustainable economic growth. Technological Forecasting and Social Change, 199, 123045. https://doi.org/10.1016/J.TECHFORE.2023.123045
Soto, G. H. (2024). The role of high human capital and green economies in environmental sustainability in the Asia-Pacific region, 1990–2022. Management of Environmental Quality. https://doi.org/10.1108/MEQ-01-2024-0052
Tsimisaraka, R. S. M., Xiang, L., Andrianarivo, A. R. N. A., Josoa, E. Z., Khan, N., Hanif, M. S., Khurshid, A., & Limongi, R. (2023). Impact of Financial Inclusion, Globalization, Renewable Energy, ICT, and Economic Growth on CO2 Emission in OBOR Countries. Sustainability (Switzerland), 15(8). https://doi.org/10.3390/su15086534
UNEP. (2022). Emissions Gap Report 2022: The Closing Window. United Nations Environment Programme. https://www.unep.org/resources/emissions-gap-report-2022
UNESCO. (2023). Digital Literacy for Sustainable Development. https://www.unesco.org
UNSDG. (2023). The Sustainable Development Goals Report 2023. https://unstats.un.org/sdgs/report/2023/
UNSDG. (2023). The Sustainable Development Goals Report 2023. https://unstats.un.org/sdgs/report/2023/
Wolde-Rufael, Y., & Mulat-weldemeskel, E. (2023). Effectiveness of environmental taxes and environmental stringent policies on CO2 emissions: the European experience. Environment, Development and Sustainability, 25(6), 5211–5239. https://doi.org/10.1007/s10668-022-02262-1
Wu, R., Xie, Z., Wang, J., & Wang, S. (2025). Estimating the environmental Kuznets curve and its influencing factors of CO2 emissions: Insights from development stages and rebound effects. Applied Geography, 174. https://doi.org/10.1016/j.apgeog.2024.103475
Yağlıkara, Aykut, (2025), Enerji Verimliliği ve Çevresel Vergiler İskandinav Ülkelerinde Ekolojik Ayak İzini Azaltmada Etkili mi? Panel Kantil Regresyon Analizi”, Üçüncü Sektör Sosyal Ekonomi Dergisi Third Sector Social Economic Review 60(1) 2025, 366-381
Yao, W., Liu, L., Fujii, H., & Li, L. (2024). Digitalization and net-zero carbon: The role of industrial robots towards carbon dioxide emission reduction. Journal of Cleaner Production, 450. https://doi.org/10.1016/j.jclepro.2024.141820
Yao, Y., Ivanovski, K., Inekwe, J., & Smyth, R. (2020). Human capital and CO2 emissions in the long run. Energy Economics, 91, 104907. https://doi.org/10.1016/j.eneco.2020.104907
Zhang, T., Ma, Z., & Shang, Y. (2023). Higher Education, Technological Innovation, and Green Development—Analysis Based on China’s Provincial Panel Data. Sustainability (Switzerland), 15(5). https://doi.org/10.3390/su15054311
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