Assessing the role of artificial intelligence in achieving green growth: A panel data analysis for OECD countries
Keywords:
Artificial Intelligence, Green Growth, OECD, Regulatory Quality, GMMAbstract
While higher economic growth can improve lives by reducing poverty, it often comes at the cost of environmental degradation. Over the last two centuries, technological advancements have been considered a key driver of economic growth. Technologies such as Artificial Intelligence (AI) are believed to be vital in reducing carbon emissions and fostering green growth (GGT). The study examines the relationship between investment in AI and GGT in the Organization for Economic Cooperation and Development (OECD) countries, which are almost all advanced and have invested more in AI than any other region. A decade comparison through maps revealed that the OECD region has invested more in AI development and deployment in recent years. The results of the Generalized Method of Moments (GMM) show that AI has a significant negative relationship with green growth in the linear form, while in the quadratic form, it exerts a significant positive impact on green growth. The dual effect of AI highlights that AI initially disrupts green growth due to high initial costs, and after a certain threshold, it impacts green growth positively. The study recommends policies and guidelines to ensure proper utilization of AI for green growth objectives.
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References
Bagheri, M., Guevara, Z., Alikarami, M., Kennedy, C. A., & Doluweera, G. (2018). Green growth planning: a multi-factor energy input-output analysis of the Canadian economy. Energy Economics, 74, 708-720. https://doi.org/10.1016/j.eneco.2018.07.015
Baysan, S., Kabadurmus, O., Cevikcan, E., Satoglu, S. I., & Durmusoglu, M. B. (2019). A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry. Journal of cleaner production, 211, 895-908. https://doi.org/10.1016/j.jclepro.2018.11.217
Beckerman, W. (1995). How would you like your'sustainability', sir? Weak or strong? A reply to my critics. Environmental Values, 4(2), 167-179. https://doi.org/10.3197/096327195776679574
Brynjolfsson, E., & Mcafee, A. N. D. R. E. W. (2017). Artificial intelligence, for real. Harvard business review, 1, 1-31.
Cahyadin, M., Sari, V. K., & Juwita, A. H. (2021). New evidence of environmental kuznets curve hypothesis in developing countries. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 22(2), 251-262. https://doi.org/10.23917/jep.v22i2.15794
Cao, J., Law, S. H., Samad, A. R. B. A., Mohamad, W. N. B. W., Wang, J., & Yang, X. (2022). Effect of financial development and technological innovation on green growth—analysis based on spatial Durbin model. Journal of Cleaner Production, 365, 132865. https://doi.org/10.1016/j.jclepro.2022.132865
Capasso, M., Hansen, T., Heiberg, J., Klitkou, A., & Steen, M. (2019). Green growth–A synthesis of scientific findings. Technological Forecasting and Social Change, 146, 390-402. https://doi.org/10.1016/j.techfore.2019.06.013
Change, I. C. (2007). Synthesis Report. Valencia; 2007.
Cole, M. A., Rayner, A. J., & Bates, J. M. (1997). The environmental Kuznets curve: an empirical analysis. Environment and development economics, 2(4), 401-416. Doi: https://doi.org/10.1017/S1355770X97000211
Dale, G., Mathai, M. V., & de Oliveira, J. A. P. (Eds.). (2016). Green growth: ideology, political economy and the alternatives. Bloomsbury Publishing. Doi: 10.5040/9781350220553
Degbedji, D. F., Akpa, A. F., Chabossou, A. F., & Osabohien, R. (2024). Institutional quality and green economic growth in West African economic and monetary union. Innovation and Green Development, 3(1), 100108. https://doi.org/10.1016/j.igd.2023.100108
Ertel, W. (2018). Introduction to artificial intelligence. Springer.
Fanelli, J. M., Frenkel, R., & Taylor, L. (1992). The World Development Report 1991: A Critical Assessment.
Gonzales, J. T. (2023). Implications of AI innovation on economic growth: a panel data study. Journal of Economic Structures, 12(1), 13
Hamet, P., & Tremblay, J. (2017). AIin medicine. Metabolism, 69, S36-S40.
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
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.
He, Y. (2019). The importance of AIto economic growth. Korea Journal of Artificial Intelligence, 7(1), 17-22.
Hickel, J., & Kallis, G. (2020). Is green growth possible? New political economy, 25(4), 469-486. https://doi.org/10.1080/13563467.2019.1598964
Husain, R., Wahab, N. A., & De Gracious, M. S. (2022, November). A literature review of the available AI technology to assist in greening the Malaysian automotive industry. In AIP Conference Proceedings (Vol. 2617, No. 1). AIP Publishing. https://doi.org/10.1063/5.0120583
Hussain, Z., Mehmood, B., Khan, M. K., & Tsimisaraka, R. S. M. (2022). Green growth, green technology, and environmental health: evidence from high-GDP countries. Frontiers in Public Health, 9, 816697. https://doi.org/10.3389/fpubh.2021.816697
Indicators, O. E. C. D. (2011). Towards green growth: monitoring progress.
Kaika, D., & Zervas, E. (2013). The Environmental Kuznets Curve (EKC) theory—Part A: Concept, causes and the CO2 emissions case. Energy policy, 62, 1392-1402. https://doi.org/10.1016/j.enpol.2013.07.131
Khan, M. A., & Ozturk, I. (2020). Examining foreign direct investment and environmental pollution linkage in Asia. Environmental Science and Pollution Research, 27, 7244-7255.
Kuntsman, A., & Rattle, I. (2019). Towards a paradigmatic shift in sustainability studies: A systematic review of peer reviewed literature and future agenda setting to consider environmental (Un) sustainability of digital communication. Environmental Communication, 13(5), 567-581. https://doi.org/10.1080/17524032.2019.1596144
Li, X., Shaikh, P. A., & Ullah, S. (2022). Exploring the potential role of higher education and ICT in China on green growth. Environmental Science and Pollution Research, 29(43), 64560-64567.
Liu, J., Kong, X., Xia, F., Bai, X., Wang, L., Qing, Q., & Lee, I. (2018). AIin the 21st century. Ieee Access, 6, 34403-34421. Doi: 10.1109/ACCESS.2018.2819688
Liu, J., Liu, L., Qian, Y., & Song, S. (2022). The effect of AIon carbon intensity: Evidence from China's industrial sector. Socio-Economic Planning Sciences, 83, 101002. https://doi.org/10.1016/j.seps.2020.101002
Liu, R., Wang, D., Zhang, L., & Zhang, L. (2019). Can green financial development promote regional ecological efficiency? A case study of China. Natural Hazards, 95, 325-341.
Lucas, R. E. (1988). On the Mechanics of Economic Development. Journal of Monetary Economics, 22(1), 3-42
Makridis, C. A., & Mishra, S. (2022). AIas a service, economic growth, and well-being. Journal of Service Research, 25(4), 505-520. https://doi.org/10.1177/10946705221120218
Mao, S., Wang, B., Tang, Y., & Qian, F. (2019). Opportunities and challenges of AIfor green manufacturing in the process industry. Engineering, 5(6), 995-1002.
Matraeva, L., Solodukha, P., Erokhin, S., & Babenko, M. (2019). Improvement of Russian energy efficiency strategy within the framework of" green economy" concept (based on the analysis of experience of foreign countries). Energy Policy, 125, 478-486. https://doi.org/10.1016/j.enpol.2018.10.049
Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica: Journal of the econometric society, 1417-1426. https://doi.org/10.2307/1911408
Nxumalo, Q. B., Mabeba, M. R., & Msomi, M. W. (2022, June). The Effect of Aion Economic Growth in Hungary. In Proceedings of FEB Zagreb International Odyssey Conference on Economics and Business (Vol. 4, No. 1, pp. 331-338). University of Zagreb, Faculty of Economics and Business.
Plikas, J. H., Trakadas, P., & Kenourgios, D. (2023, September). On the Relationship Between AI and Economic Growth (GDP)—the Case of Europe. In International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (pp. 327-342). Singapore: Springer Nature Singapore.
Popp, D., Hascic, I., & Medhi, N. (2011). Technology and the diffusion of renewable energy. Energy Economics, 33(4), 648-662. https://doi.org/10.1016/j.eneco.2010.08.007
Qian, Y., Liu, J., Shi, L., Forrest, J. Y.-L., & Yang, Z. (2023). Can AIimprove green economic growth? Evidence from China. Environmental Science and Pollution Research, 30(6), 16418-16437
Romer, P. M. (1986). Increasing Returns and Long-Run Growth. Journal of Political Economy, 94(5), 1002-1037.
Romer, P. M. (1990). Endogenous Technological Change. Journal of Political Economy, 98(5), S71-S102. https://doi.org/10.1086/261725
Sarc, R., Curtis, A., Kandlbauer, L., Khodier, K., Lorber, K. E., & Pomberger, R. (2019). Digitalisation and intelligent robotics in value chain of circular economy oriented waste management–A review. Waste Management, 95, 476-492.
Taşkın, D., Vardar, G., & Okan, B. (2020). Does renewable energy promote green economic growth in OECD countries? Sustainability Accounting, Management and Policy Journal, 11(4), 771-798. https://doi.org/10.1108/SAMPJ-04-2019-0192
Ufarghali, M., Osman, A. I., Mohamed, I. M., Chen, Z., Chen, L., Ihara, I., ... & Rooney, D. W. (2023). Strategies to save energy in the context of the energy crisis: a review. Environmental Chemistry Letters, 1-37.
Un (2012) The Future We Want, Geneva: UN.
Unep (2011a) Towards a Green Economy: Pathways to Sustainable Development and Poverty Eradication - A Synthesis for Policy Makers,
Vijayakumar, H. (2021). The Impact of AI-Innovations and Private AI-Investment on US Economic Growth: An Empirical Analysis. Reviews of Contemporary Business Analytics, 4(1), 14-32.
Vinuesa, Ricardo, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Daniela Langhans, Max Tegmark, and Francesco Fuso Nerini. "The role of AIin achieving the Sustainable Development Goals." Nature communications 11, no. 1 (2020): 1-10.
Wang, J., Wang, K., Dong, K., & Zhang, S. (2023). Assessing the role of financial development in natural resource utilization efficiency: Does AItechnology matter? Resources Policy, 85, 103877. https://doi.org/10.1016/j.resourpol.2023.103877
Wang, X., He, T., Wang, S., & Zhao, H. (2024). The Impact of AIon Economic Growth from the Perspective of Population External System. Social Science Computer Review, 08944393241246100.
Yang, S., & Liu, F. (2024). Impact of industrial intelligence on green total factor productivity: The indispensability of the environmental system. Ecological Economics, 216, 108021.
Yang, Y., Guo, H., Chen, L., Liu, X., Gu, M., & Ke, X. (2019). Regional analysis of the green development level differences in Chinese mineral resource-based cities. Resources Policy, 61, 261-272.
Zhao, P., Gao, Y., & Sun, X. (2022). How does AIaffect green economic growth? —Evidence from China. Science of The Total Environment, 834, 155306. https://doi.org/10.1016/j.scitotenv.2022.155306
Zhou, G., Zhu, J., & Luo, S. (2022). The impact of fintech innovation on green growth in China: Mediating effect of green finance. Ecological Economics, 193, 107/308. https://doi.org/10.1016/j.ecolecon.2021.107308
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Copyright (c) 2025 Salah ud Din, Kashif Khan, Dr. Faiza Hassan (Author)
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