Abstract
Since globalization has increased both production and population, it has also increased environmental damage. This is why the development of renewable energy sources is crucial to the survival of humanity and the planet itself. Business patterns across the various nations, however, have changed significantly over time. This study examines how environmental taxes and renewable energy electricity affect renewable energy consumption in emerging seven economies by using panel dataset over the period of 1990 to 2020. Control variables include economic growth, carbon emissions, and environmental innovation. The results confirmed the presence of the long-run co-integration association, the existence of slope coefficient heterogeneity, and the dependency of cross sections using several panel data methods. Since the data was not normally distributed, a new technique known as method of moments quantile regression (MMQR) was applied in this study. The projected results contend that the major factors of renewable energy consumption are renewable energy output, environmental taxation, economic growth, and carbon emissions. However, eco-friendly innovations drastically cut back on the need for renewable energy. Bootstrap quantile regression verifies the results’ reliability, and the panel Granger causality test corroborates that the listed factors have a bidirectional causal relationship with renewable energy usage. Furthermore, this research recommends boosting spending on renewable electricity, the environmental tax sector, and ecological innovation in order to expand the use of renewable energy.
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Waqar Ameer: conceptualization, data curation, methodology; Muhammad Sibt e Ali: writing—original draft, data curation; Fatima Farooq: visualization, supervision, editing; Bakhtawar Ayub: writing—review and editing; Muhammad Waqas: software, editing, supervision.
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Ameer, W., Ali, M.S.e., Farooq, F. et al. Renewable energy electricity, environmental taxes, and sustainable development: empirical evidence from E7 economies. Environ Sci Pollut Res 31, 46178–46193 (2024). https://doi.org/10.1007/s11356-023-26930-5
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DOI: https://doi.org/10.1007/s11356-023-26930-5