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    Consequences of COVID-19 on the social isolation of the Chinese economy: accounting for the role of reduction in carbon emissions
    (SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2020) Balsalobre-Lorente, Daniel; Driha, Oana M.; Bekun, Festus Victor; Sinha, Avik; Adedoyin, Festus Fatai
    The main contribution of the present study to the energy literature is to explore the relationship between economic growth and pollution emission amidst globalization. In contrast to the existing studies, this research examines the effects of economic and social isolation as dimensions of globalization. The present paper allows underpinning the impact on the Chinese economic development of the isolation phenomenon as a consequence of coronavirus (COVID-19). To this end, annual time-frequency data is used to achieve the hypothesized claims. The study resolutions include (1) the existence of a long-run association between the outlined variables; (2) the long-run estimates suggest that the Chinese economy, over the investigated period, is inelastic to pollutant-driven economic growth; and (3) the Chinese isolation is less responsive to its economic growth while the country political willpower is elastic as demonstrated by a government commitment to dampen the effect of the COVID-19 pandemic. This confinement is marked by the aggressive response by the government officials resolute by flattening the exponential impact of the pandemic. Based on these robust results, some far-reaching policy implications are underlined in the concluding remarks section.
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    Indian energy policies amidst urban population and economic growth: Sourcing evidence from time-frequency domain analysis
    (Sage Publications Ltd, 2024) Sinha, Avik; Adebayo, Tomiwa Sunday; Bekun, Festus Victor
    Relying solely on fossil fuel-driven economic growth could prove unsustainable, particularly in India, where the adverse environmental impact of this growth trajectory is increasingly affecting overall economic development. This challenge may hinder the realization of the sustainable development goals (SDGs) in the country. Therefore, to address this policy concern, an empirically investigation on the influence of various growth drivers on India's economic growth from 1965 to 2019 was conducted by this present study. Leveraging time-frequency estimators like gradual shift causality tests and Wavelet Coherence, the study yields a range of findings that can inform the formulation of an SDG-oriented policy framework. These outcomes not only acknowledge the detrimental environmental consequences of economic growth but also provide insights into addressing energy security issues. Ultimately, this research enhances to the literature by suggesting a comprehensive and adaptable policy framework aimed at advancing SDGs 7, 8, 12, and 13.