Analyzing the contribution of renewable energy and natural resources for sustainability in G-20 countries: How gross capital formation impacts ecological footprints
Open accessAbstract
Sustainability ensures well-being for people and communities worldwide and helps shape the world's present and future. A global transformation is required by adopting renewable energy sources to achieve sustainability. Sustainability trends have been examined using this study for the period 1992-2018 for G20 countries. The study uses indicators like ecological footprints, natural resources, renewable energy (RE), and non-renewable energy (NRE), along with gross domestic product (GDP) and capital formation. A cross-sectional-ARDL approach has been used to examine short- and long-term relationships. The presence of stationarity property, cross-sectional dependence, panel cointegration, and slope heterogeneity have been confirmed during initial testing. The empirical result confirms that using renewable energy impacts environmental sustainability in the long run and causes a decrease in ecological footprints. On the contrary, non-renewable energy and natural resources contribute to the negative shift in sustainable development. The consistency of results has also been confirmed using robustness checks under the AMG and FMOLS approaches. The study concludes that G20 countries should promote renewable energy to empower the United Nations' agenda for sustainable development.
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Biofuels provide a means to move from fossil fuels to renewable energy sources.
“Biofuels provide a means to move from fossil fuels to renewable energy sources.”
From Biofuel production: exploring renewable energy solutions for a greener future (2024) · cites this paper as [94]
Domestic production of biofuels from locally accessible feedstocks can help increase the stability and robustness of energy systems.
“Domestic production of biofuels from locally accessible feedstocks can help to increase the stability and robustness of energy systems [92–94].”
From Biofuel production: exploring renewable energy solutions for a greener future (2024) · cites this paper as [94]
Biofuels can help improve energy security by reducing reliance on imported fossil fuels.
“Biofuels can help improve energy security by reliance on imported fossil fuels.”
From Biofuel production: exploring renewable energy solutions for a greener future (2024) · cites this paper as [94]
Efficiency issues frequently arise while converting feedstocks into biofuels.
“Efficiency issues frequently arise while converting feedstocks into biofuels.”
From Biofuel production: exploring renewable energy solutions for a greener future (2024) · cites this paper as [94]
Biofuel production drives technological advancements in feedstock cultivation, conversion technology, and process optimization.
“Biofuel production drives technological advancements in feedstock cultivation, conversion technology, and process optimization.”
From Biofuel production: exploring renewable energy solutions for a greener future (2024) · cites this paper as [94]
Renewable energy sources can play an important role in lowering greenhouse gas emissions, especially in the transportation sector, when alternative renewable energy sources are limited.
“Moreover, renewable energy sources can play an important role in lowering greenhouse gas emissions, especially in the transportation sector, when alternative renewable energy sources are limited [92–94, 121].”
From Biofuel production: exploring renewable energy solutions for a greener future (2024) · cites this paper as [94]
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Cites
Efficient Inference in a Random Coefficient Regression Model
Swamy, P. A. V. B. (1970) · Econometrica · doi:10.2307/1913012 · Cited by 2,303 · see citing works
Panayotou, T. (1994) · RePEc: Research Papers in Economics · Cited by 1,619 · see citing works
Panel cointegration tests of the Fisher effect
Westerlund, J. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.967 · Cited by 1,259 · see citing works
Destek, M. A., & Sinha, A. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118537 · Cited by 1,168 · see citing works
Bogdanov, D., Ram, M., Aghahosseini, A., Gulagi, A., Oyewo, A. S., Child, M., Caldera, U., Sadovskaia, K., Farfan, J., Barbosa, L. D. S. N. S., et al. (2021) · Energy · doi:10.1016/j.energy.2021.120467 · Cited by 983 · see citing works
Danish, Baloch, M. A., Mahmood, N., & Zhang, J. W. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.028 · Cited by 942 · see citing works
Alola, A. A., Bekun, F. V., & Sarkodie, S. A. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.139 · Cited by 836 · see citing works
Unit Roots and Cointegration in Panels
Breitung, J., & Pesaran, M. H. (2008) · Springer eBooks · doi:10.1007/978-3-540-75892-1_9 · Cited by 758 · see citing works
Borucke, M., Moore, D., Cranston, G. R., Gracey, K., Iha, K., Larson, J., Lazarus, E., Morales, J. C., Wackernagel, M., & Galli, A. (2012) · Ecological Indicators · doi:10.1016/j.ecolind.2012.08.005 · Cited by 704 · see citing works
Quantile cointegration in the autoregressive distributed-lag modeling framework
Cho, J. S., Kim, T., & Shin, Y. (2015) · Journal of Econometrics · doi:10.1016/j.jeconom.2015.05.003 · Cited by 520 · see citing works
Zafar, M. W., Shahbaz, M. Q., Hou, F., & Sinha, A. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.12.081 · Cited by 520 · see citing works
What drives environmental degradation? Evidence from 14 Sub-Saharan African countries
Wang, J., & Dong, K. Y. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.11.354 · Cited by 473 · see citing works
Alvarado, R., Tillaguango, B., Dagar, V., Ahmad, M., Işık, C., Méndez, P., & Toledo, E. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128585 · Cited by 377 · see citing works
Long-Run Effects in Large Heterogeneous Panel Data Models with Cross-Sectionally Correlated Errors
Chudík, A., Mohaddes, K., Pesaran, M. H., et al. (2016) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0731-905320160000036013 · Cited by 376 · see citing works
Baltagi, B. H., & Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.955 · Cited by 349 · see citing works
Usman, M. Z., & Makhdum, M. S. A. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.07.014 · Cited by 340 · see citing works
Sukı, N. M., Sukı, N. M., Sharif, A., et al. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121669 · Cited by 333 · see citing works
Khan, I., Hou, F., Zakari, A., & Tawiah, V. K. (2021) · Energy · doi:10.1016/j.energy.2021.119935 · Cited by 323 · see citing works
Su, C., Umar, M., & Khan, Z. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142220 · Cited by 294 · see citing works
Elavarasan, R. M., Pugazhendhi, R., Jamal, T., et al. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.116665 · Cited by 251 · see citing works
Nathaniel, S. P., Alam, M. S., Murshed, M., et al. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-13728-6 · Cited by 242 · see citing works
Ansari, M. A. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112867 · Cited by 209 · see citing works
Analyzing the nexus between energy transition, environment and ICT: A step towards COP26 targets
Tzeremes, P., Dogan, E., & Alavijeh, N. K. (2022) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.116598 · Cited by 173 · see citing works
Sharif, A., Godil, D. I., Xu, B., Sinha, A., Khan, S. A. R., & Jermsittiparsert, K. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122906 · Cited by 172 · see citing works
The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model
Huang, J., Li, X., Wang, Y., & Lei, H. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121110 · Cited by 157 · see citing works
Can foreign direct investment harness energy consumption in China? A time series investigation
Salim, R. A., Yao, Y., Chen, G., & Zhang, L. (2017) · Energy Economics · doi:10.1016/j.eneco.2017.05.026 · Cited by 145 · see citing works
Li, K., & Lin, B. (2015) · Energy Policy · doi:10.1016/j.enpol.2015.11.034 · Cited by 131 · see citing works
Panarello, D., & Gatto, A. (2022) · Energy Policy · doi:10.1016/j.enpol.2022.113272 · Cited by 126 · see citing works
Khan, A. A., Khan, S. U., Ali, M. A. S., Safi, A., Gao, Y., Ali, M. A. S., & Luo, J. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.152797 · Cited by 114 · see citing works
Adekoya, O. B., Oliyide, J. A., & Fasanya, I. O. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.03.036 · Cited by 108 · see citing works
Shyu, C.-W. (2021) · Energy Research & Social Science · doi:10.1016/j.erss.2021.102199 · Cited by 106 · cited 6× · see citing works
“Global agendas like the SDGs and the COP26 conference demonstrate how governments and legislators increasingly acknowledge the significance of renewable energy in addressing global challenges like climate change.”
BackgroundInfluentialHarichandan, S., Kar, S. K., Bansal, R., Mishra, S. K., Balathanigaimani, M. S., & Dash, M. (2022) · Cleaner Production Letters · doi:10.1016/j.clpl.2022.100026 · Cited by 106 · see citing works
Khan, I., & Hou, F. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-12005-2 · Cited by 102 · see citing works
Shahzadi, I., Yaseen, M. R., Khan, M. T. I., Makhdum, M. S. A., & Ali, Q. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.10.050 · Cited by 100 · see citing works
Ghosh, S., Balsalobre‐Lorente, D., Doğan, B., et al. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.134281 · Cited by 84 · see citing works
Liu, J., Loan, V. T. K., Mousa, S., et al. (2022) · Resources Policy · doi:10.1016/j.resourpol.2022.103143 · Cited by 79 · see citing works
Moon, H. R., & Perron, B. (2012) · Journal of Econometrics · doi:10.1016/j.jeconom.2012.01.008 · Cited by 79 · see citing works
Sukı, N. M., Sukı, N. M., Sharif, A., & Afshan, S. (2021) · Sustainable Development · doi:10.1002/sd.2160 · Cited by 70 · see citing works
Faisal, F., Sulaiman, Y., & Türsoy, T. (2019) · Resources Policy · doi:10.1016/j.resourpol.2019.101512 · Cited by 40 · see citing works
Moon, H. R., & Perron, B. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1761588 · Cited by 19 · see citing works
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- [3]Yilanci V. Ulucak R. Ozgur O. Insights for a Sustainable Environment: Analyzing the Persistence of Policy Shocks to Ecological Footprints of Mediterranean Countries 2021 47 66 10.1080/17421772.2021.1919313 · DOI
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El-Araby, R. (2024) · Biotechnology for Biofuels and Bioproducts · doi:10.1186/s13068-024-02571-9 · Cited by 276 · see citing works
- Authors
- Li, Y., Wang, X., Imran, A., Aslam, M. U., & Mehmood, U.
- Affiliations
- Tianjin University of Commerce (CN)
- University of the Punjab (PK)
- Corresponding author
- Li, Ying
- Venue
- Heliyon
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 9
- Issue
- 8
- Pages
- e18882
- ISSN
- 2405-8440 (ISSN-L)
- PMC
- PMC10450853
- OpenAlex
- W4385697075
- Cited by
- 43
- References
- 40
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 15 · 2023: 2
- FWCI
- 8.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Heliyon (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Sustainable Development and Environmental Policy
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Keywords
- renewable energy, non-renewable energy, natural resources, ecological footprint, environmental sustainability, gross capital formation, G-20 countries, sustainable development
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