Renewable energy, forest cover, export diversification, and ecological footprint: a machine learning application in moderating eco-innovations on agriculture in the BRICS-T economies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-27973-4.pdf
Reference103 articles.
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2. Afshan S, Yaqoob T (2022) The potency of eco-innovation, natural resource and financial development on ecological footprint: a quantile-ARDL-based evidence from China. Environ Sci Pollut Res 29:50675–50685. https://doi.org/10.1007/s11356-022-19471-w
3. Ahmad M, Jabeen G, Wu Y (2021) Heterogeneity of pollution haven/halo hypothesis and environmental Kuznets curve hypothesis across development levels of Chinese provinces. J Clean Prod 285:124898. https://doi.org/10.1016/j.jclepro.2020.124898
4. Akalin G, Erdogan S, Sarkodie SA (2021) Do dependence on fossil fuels and corruption spur ecological footprint? Environ Impact Assess Rev 90:106641. https://doi.org/10.1016/j.eiar.2021.106641
5. Ali S, Can M, Shah MI, Jiang J, Ahmed Z, Murshed M (2022) Exploring the linkage between export diversification and ecological footprint: evidence from advanced time series estimation techniques. Environ Sci Pollut Res 29(25):38395–38409. https://doi.org/10.1007/s11356-022-18622-3
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