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How solar-based renewable energy contributes to CO2 emissions abatement? Sustainable environment policy implications for solar industry

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  • Lei Zhu
  • Wei Fang
  • Saif Ur Rahman
  • Ahmad Imran Khan

Abstract

Renewable energy sources are gaining popularity because they are less expensive and more efficient than traditional energy sources. Using data from 1991 to 2018, we examined the asymmetric impact of solar energy consumption on CO 2 emissions in the top-ten solar energy-consumer economies (China, the United States, Japan, Germany, India, Italy, Australia, Vietnam, South Korea, and Spain). Earlier research has used a panel data technique, which has produced consistent conclusions on the solar power–CO 2 emissions association, despite the fact that some economies have no evidence of such a linkage. The current study, on the other hand, employs a unique methodology known as “quantile-on-quantile,†which can evaluate time-series dependence in each economy separately to give world yet country-related information for the association among the variables. The findings investigate how quantiles of solar energy consumption quantiles influence CO 2 emissions quantiles asymmetrically by giving an appropriate structure to apprehend the whole dependency pattern. The results suggest that, except in Spain and India, solar energy consumption minimizes carbon dioxide emissions at various quantiles. However, the strength of nonlinear association in solar energy–CO 2 emissions nexus varies from country to country that needs individual attention and caution for governments in developing the policies related to the solar industry and the sustainable environment.

Suggested Citation

  • Lei Zhu & Wei Fang & Saif Ur Rahman & Ahmad Imran Khan, 2023. "How solar-based renewable energy contributes to CO2 emissions abatement? Sustainable environment policy implications for solar industry," Energy & Environment, , vol. 34(2), pages 359-378, March.
  • Handle: RePEc:sae:engenv:v:34:y:2023:i:2:p:359-378
    DOI: 10.1177/0958305X211061886
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    1. Bilgili, Faik, 2012. "The impact of biomass consumption on CO2 emissions: Cointegration analyses with regime shifts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5349-5354.
    2. Bashir, Muhammad Farhan & MA, Benjiang & Shahbaz, Muhammad & Shahzad, Umer & Vo, Xuan Vinh, 2021. "Unveiling the heterogeneous impacts of environmental taxes on energy consumption and energy intensity: Empirical evidence from OECD countries," Energy, Elsevier, vol. 226(C).
    3. Sajid Ali & Zulkornain Yusop & Shivee Ranjanee Kaliappan & Lee Chin & Raima Nazar, 2021. "Asymmetric openness-growth nexus in 20 highly open OIC countries: Evidence from quantile-on-quantile regression approach," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 30(6), pages 882-905, August.
    4. Xiao, Zhijie, 2009. "Quantile cointegrating regression," Journal of Econometrics, Elsevier, vol. 150(2), pages 248-260, June.
    5. Apergis, Nicholas & Payne, James E., 2014. "Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model," Energy Economics, Elsevier, vol. 42(C), pages 226-232.
    6. Engle, Robert & Granger, Clive, 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.
    7. 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.
    8. Jaforullah, Mohammad & King, Alan, 2015. "Does the use of renewable energy sources mitigate CO2 emissions? A reassessment of the US evidence," Energy Economics, Elsevier, vol. 49(C), pages 711-717.
    9. Chen, Yulong & Zhao, Jincai & Lai, Zhizhu & Wang, Zheng & Xia, Haibin, 2019. "Exploring the effects of economic growth, and renewable and non-renewable energy consumption on China’s CO2 emissions: Evidence from a regional panel analysis," Renewable Energy, Elsevier, vol. 140(C), pages 341-353.
    10. 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.
    11. Mo, Bin & Chen, Cuiqiong & Nie, He & Jiang, Yonghong, 2019. "Visiting effects of crude oil price on economic growth in BRICS countries: Fresh evidence from wavelet-based quantile-on-quantile tests," Energy, Elsevier, vol. 178(C), pages 234-251.
    12. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions," Renewable Energy, Elsevier, vol. 167(C), pages 99-115.
    13. Al-mulali, Usama & Solarin, Sakiru Adebola & Sheau-Ting, Low & Ozturk, Ilhan, 2016. "Does moving towards renewable energy causes water and land inefficiency? An empirical investigation," Energy Policy, Elsevier, vol. 93(C), pages 303-314.
    14. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    15. Lin, Boqiang & Moubarak, Mohamed, 2014. "Renewable energy consumption – Economic growth nexus for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 111-117.
    16. Apergis, Nicholas & Ben Jebli, Mehdi & Ben Youssef, Slim, 2018. "Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries," Renewable Energy, Elsevier, vol. 127(C), pages 1011-1016.
    17. Michaja Pehl & Anders Arvesen & Florian Humpenöder & Alexander Popp & Edgar G. Hertwich & Gunnar Luderer, 2017. "Understanding future emissions from low-carbon power systems by integration of life-cycle assessment and integrated energy modelling," Nature Energy, Nature, vol. 2(12), pages 939-945, December.
    18. Pueyo, Ana, 2018. "What constrains renewable energy investment in Sub-Saharan Africa? A comparison of Kenya and Ghana," World Development, Elsevier, vol. 109(C), pages 85-100.
    19. Destek, Mehmet Akif & Aslan, Alper, 2020. "Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries," Renewable Energy, Elsevier, vol. 151(C), pages 1298-1306.
    20. 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).
    21. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
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