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Geothermal energy and carbon emissions nexus in leading geothermal-consuming nations: Evidence from nonparametric analysis

Author

Listed:
  • Muhammad Umar
  • Abraham Ayobamiji Awosusi
  • Oluwatayomi Rereloluwa Adegboye
  • Opeoluwa Seun Ojekemi

Abstract

The pursuit of decarbonization has created an awareness globally in relation to geothermal energy, either for electricity generation or direct usage, since fuel combustion is not needed. Premised on this intriguing detail, this present research scrutinizes the impact of geothermal energy on CO 2 emissions in the top seven geothermal energy-consuming nations. Using the quarterly dataset of geothermal and CO 2 emissions stretching over the period between 1990 and 2019. The quantile-on-quantile (QQ) approach, which considers the conventional quantile analysis and nonparametric, is utilized in this research to provide more accurate and robust estimations. Furthermore, the QQ approach differentiates the impacts of geothermal energy on CO 2 emissions into three quantiles: upper, medium, and lower. Additionally, the nonparametric causality-in-quantiles is used to evaluate the causation in quantiles between geothermal and CO 2 emissions. From the outcomes of the QQ approach, we discovered that in several quantiles, geothermal energy mitigates environmental deterioration, wherein CO 2 emission is reduced in Italy, Mexico, and New Zealand. However, geothermal energy boosts CO 2 emissions in India, the USA, Turkey, and the Philippines. Furthermore, the nonparametric causality-in-quantiles discovered that geothermal energy predicts CO 2 emissions in all nations.

Suggested Citation

  • Muhammad Umar & Abraham Ayobamiji Awosusi & Oluwatayomi Rereloluwa Adegboye & Opeoluwa Seun Ojekemi, 2024. "Geothermal energy and carbon emissions nexus in leading geothermal-consuming nations: Evidence from nonparametric analysis," Energy & Environment, , vol. 35(5), pages 2726-2752, August.
  • Handle: RePEc:sae:engenv:v:35:y:2024:i:5:p:2726-2752
    DOI: 10.1177/0958305X231153972
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    as
    1. Xiao, Zhijie, 2009. "Quantile cointegrating regression," Journal of Econometrics, Elsevier, vol. 150(2), pages 248-260, June.
    2. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    3. Samour, Ahmed & Moyo, Delani & Tursoy, Turgut, 2022. "Renewable energy, banking sector development, and carbon dioxide emissions nexus: A path toward sustainable development in South Africa," Renewable Energy, Elsevier, vol. 193(C), pages 1032-1040.
    4. Malerba, Daniele, 2022. "Just transitions: A review of how to decarbonise energy systems while addressing poverty and inequality reduction," IDOS Discussion Papers 6/2022, German Institute of Development and Sustainability (IDOS).
    5. Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018. "The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach," Energy Economics, Elsevier, vol. 71(C), pages 282-301.
    6. Shortall, Ruth & Davidsdottir, Brynhildur & Axelsson, Guðni, 2015. "Geothermal energy for sustainable development: A review of sustainability impacts and assessment frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 391-406.
    7. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. Abraham Ayobamiji Awosusi & Kaan Kutlay & Mehmet Altuntaş & Bakhtiyor Khodjiev & Ephraim Bonah Agyekum & Mokhtar Shouran & Mohamed Elgbaily & Salah Kamel, 2022. "A Roadmap toward Achieving Sustainable Environment: Evaluating the Impact of Technological Innovation and Globalization on Load Capacity Factor," IJERPH, MDPI, vol. 19(6), pages 1-16, March.
    9. Miao, Yang & Razzaq, Asif & Adebayo, Tomiwa Sunday & Awosusi, Abraham Ayobamiji, 2022. "Do renewable energy consumption and financial globalisation contribute to ecological sustainability in newly industrialized countries?," Renewable Energy, Elsevier, vol. 187(C), pages 688-697.
    10. Jeong, Kiho & Härdle, Wolfgang K. & Song, Song, 2012. "A Consistent Nonparametric Test For Causality In Quantile," Econometric Theory, Cambridge University Press, vol. 28(4), pages 861-887, August.
    11. Chang, Bisharat Hussain & Sharif, Arshian & Aman, Ameenullah & Suki, Norazah Mohd & Salman, Asma & Khan, Syed Abdul Rehman, 2020. "The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach," Resources Policy, Elsevier, vol. 65(C).
    12. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    13. Victor Troster, 2018. "Testing for Granger-causality in quantiles," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 850-866, September.
    14. Lyu, Weihua & Li, Xianting & Yan, Shuai & Jiang, Sihang, 2020. "Utilizing shallow geothermal energy to develop an energy efficient HVAC system," Renewable Energy, Elsevier, vol. 147(P1), pages 672-682.
    15. Watanabe, Noriaki & Saito, Kohei & Okamoto, Atsushi & Nakamura, Kengo & Ishibashi, Takuya & Saishu, Hanae & Komai, Takeshi & Tsuchiya, Noriyoshi, 2020. "Stabilizing and enhancing permeability for sustainable and profitable energy extraction from superhot geothermal environments," Applied Energy, Elsevier, vol. 260(C).
    16. Rahman, Mohammad Mafizur & Alam, Khosrul, 2021. "Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh," Renewable Energy, Elsevier, vol. 172(C), pages 1063-1072.
    17. Ahmed Samour & M. Mine Baskaya & Turgut Tursoy, 2022. "The Impact of Financial Development and FDI on Renewable Energy in the UAE: A Path towards Sustainable Development," Sustainability, MDPI, vol. 14(3), pages 1-14, January.
    18. Anderson, Austin & Rezaie, Behnaz, 2019. "Geothermal technology: Trends and potential role in a sustainable future," Applied Energy, Elsevier, vol. 248(C), pages 18-34.
    19. Mehmet Balcilar & Stelios Bekiros & Rangan Gupta, 2017. "The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method," Empirical Economics, Springer, vol. 53(3), pages 879-889, November.
    20. Dogan, Eyup & Inglesi-Lotz, Roula, 2017. "Analyzing the effects of real income and biomass energy consumption on carbon dioxide (CO2) emissions: Empirical evidence from the panel of biomass-consuming countries," Energy, Elsevier, vol. 138(C), pages 721-727.
    21. Rahmanifard, Hamid & Plaksina, Tatyana, 2019. "Hybrid compressed air energy storage, wind and geothermal energy systems in Alberta: Feasibility simulation and economic assessment," Renewable Energy, Elsevier, vol. 143(C), pages 453-470.
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