Rui Dias – Polytechnic Institute of Setúbal, ESCE, Portugal
Mariana Chambino –Polytechnic Institute of Setúbal, ESCE, Portugal
Paulo Alexandre – Polytechnic Institute of Setúbal, ESCE, Portugal
Keywords:
Sustainability;
Clean energy;
Dirty energy;
Dependency
Abstract: Promoting clean energy sources necessitates global cooperation through cross-border collaboration, knowledge sharing, and resource allocation. A global imperative exists to transition towards a cleaner, sustainable energy mix to combat climate change and maintain environmental equilibrium. This study assesses the influence of fossil energy prices (Brent Crude Spot, WTI, FTSE 350 Oil, Gas & Coal, EURO STOXX Oil & Gas) on sustainable energy prices (Geothermal Index, Solar Energy Index, NASDAQ OMX Bio Clean Fuels Index, Wind Energy Index, WilderHill Clean Energy Index) in both stable and turbulent market conditions. This study suggests that sustainability and innovation in green energy significantly impact fossil fuel-related indexes. During challenging periods, sustainable energy markets gain prominence, while “dirty” energy indexes exhibit varying degrees of influence. Remarkably, the WilderHill Clean Energy Index plays a central role in shaping both fossil fuel and sustainable energy indexes. These findings underscore the growing trend towards greener and more sustainable investments, emphasizing sustainability’s substantial sway over financial markets.
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7th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2023 – Conference Proceedings, Hybrid (Faculty of Organization and Informatics Varaždin, University of Zagreb, Croatia), October 26, 2023
ITEMA Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
ITEMA conference partners: Faculty of Economics and Business, University of Maribor, Slovenia; Faculty of Organization and Informatics, University of Zagreb, Varaždin; Faculty of Geography, University of Belgrade, Serbia; Institute of Marketing, Poznan University of Economics and Business, Poland; Faculty of Agriculture, Banat’s University of Agricultural Sciences and Veterinary Medicine ”King Michael I of Romania”, Romania
ITEMA Conference 2023 Conference Proceedings: ISBN 978-86-80194-75-2, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2023
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
Dias, R., Chambino, M., & Alexandre, P. (2023). Strength in Transition: Resilience of Sustainable Energy vs. Fossil Energy. In V. Bevanda (Ed.), International Scientific Conference ITEMA 2023: Vol 7. Conference Proceedings (pp. 157-166). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ITEMA.2023.157
References
Attarzadeh, A., & Balcilar, M. (2022). On the Dynamic Connectedness of the Stock, Oil, Clean Energy, and Technology Markets. Energies, 15(5). https://doi.org/10.3390/en15051893
Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272. https://doi.org/10.1016/S0261-5606(00)00048-6
Dias, R., Alexandre, P., Teixeira, N., & Chambino, M. (2023). Clean Energy Stocks : Resilient Safe Havens in the Volatility of Dirty Cryptocurrencies.
Dias, R., Horta, N., & Chambino, M. (2023). Clean Energy Action Index Efficiency: An Analysis in Global Uncertainty Contexts.
Dias, R., Teixeira, N., Alexandre, P., & Chambino, M. (2023). Exploring the Connection between Clean and Dirty Energy: Implications for the Transition to a Carbon-Resilient Economy. Energies, 16(13), 4982. https://doi.org/10.3390/en16134982
Dickey, D., & Fuller, W. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517
Duraiappah, A. (2018). The inclusive wealth index: Measuring the sustainability of the sustainable development goals. In Ecology, Economy and Society: Essays in Honour of Kanchan Chopra. https://doi.org/10.1007/978-981-10-5675-8_3
Farid, S., Karim, S., Naeem, M. A., Nepal, R., & Jamasb, T. (2023). Co-movement between dirty and clean energy: A time-frequency perspective. Energy Economics, 119. https://doi.org/10.1016/j.eneco.2023.106565
Ghabri, Y., Ayadi, A., & Guesmi, K. (2021). Fossil energy and clean energy stock markets under COVID-19 pandemic. Applied Economics, 53(43). https://doi.org/10.1080/00036846.2021.1912284
Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal. https://doi.org/10.1111/1368-423x.00043
He, X., Mishra, S., Aman, A., Shahbaz, M., Razzaq, A., & Sharif, A. (2021). The linkage between clean energy stocks and the fluctuations in oil price and financial stress in the US and Europe? Evidence from QARDL approach. Resources Policy, 72. https://doi.org/10.1016/j.resourpol.2021.102021
Hoque, M. E., & Batabyal, S. (2022). Carbon Futures and Clean Energy Stocks: Do They Hedge or Safe Haven against the Climate Policy Uncertainty? Journal of Risk and Financial Management, 15(9). https://doi.org/10.3390/jrfm15090397
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3). https://doi.org/10.1016/0165-1765(80)90024-5
Lu, X., Huang, N., Mo, J., & Ye, Z. (2023). Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic. Energy Economics, 125. https://doi.org/10.1016/j.eneco.2023.106860
Ren, B., & Lucey, B. M. (2021). A Clean, Green Haven?- Examining the Relationship between Clean Energy, Clean and Dirty Cryptocurrencies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3963957
Shakhabiddinovich, A. S., Yakob, N. A. b., & Lau Wee Yeap. (2022). Asymmetric Effect of Renewable Energy Generation and Clean Energy on Green Economy Stock Price: A Nonlinear ARDL Approach. International Journal of Energy Economics and Policy, 12(1), 407-415. https://doi.org/10.32479/ijeep.12754
Vrînceanu, G., Horobeț, A., Popescu, C., & Belaşcu, L. (2020). The Influence of Oil Price on Renewable Energy Stock Prices: An Analysis for Entrepreneurs. Studia Universitatis „Vasile Goldis” Arad – Economics Series, 30(2). https://doi.org/10.2478/sues-2020-0010