Yazar "Ghardallou, Wafa" seçeneğine göre listele

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    Energy security-related risks and the quest to attain USA's net-zero emissions targets by 2050: a dynamic ARDL simulations modeling approach
    (Springer, 2024) Usman, Ojonugwa; Özkan, Oktay; Alola, Andrew Adewale; Ghardallou, Wafa
    The Russia-Ukraine war and other similar conflicts across the globe have heightened risks to the United States of America's (USA's) energy security. However, little is known about the severity of the effect of energy security risks on the USA's quest to attain net-zero emissions targets by 2050. To this end, we examine the effect of energy security risks on the load capacity factor (LCF) in the USA. Employing a time series dataset spinning from 1970 to 2018, the results of the Dynamic Autoregressive Distributed Lag (ARDL) simulations model suggest that energy security-related risk hampers the long-term net-zero emissions targets with its effect decreasing over time until it varnishes in about 5 years time. The results also show that foreign direct investment (FDI) inflows, renewable energy consumption, and green technology have long- and short-run positive effects on the LCF. Conversely, economic expansion and urbanization impede environmental quality by lowering the LCF both in the long run and short run. These findings are upheld by the outcomes of the multivariate quantile-on-quantile regression. Therefore, the study advocates for the consumption of renewable energy, investment in green technologies, and FDI inflows to mitigate energy security-related risks and attain the net-zero emissions targets by 2050 in the USA.
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    Investigating the nexus between economic complexity and energy-related environmental risks in the USA: Empirical evidence from a novel multivariate quantile-on-quantile regression
    (Elsevier B.V., 2023) Özkan, Oktay; Haruna, Roselyn Afor; ALOLA, Andrew Adewale; Ghardallou, Wafa; Usman, Ojonugwa
    This study uses the economic complexity index to examine how knowledge accumulation and its uses affect energy-related environmental risks in the USA over the period 1995:Q1–2020:Q4. To this end, we extend the traditional bivariate Quantile-on-Quantile Regression to the multivariate case. The empirical results provide time-varying effects of economic complexity, economic growth, FDI, trade openness, and urbanization on energy-related environmental risks. Particularly, the effect of economic complexity is negative and weak in the extremely lower quantiles of energy-related environmental risks, while it is positive and stronger in the middle and higher quantiles. The implication of these results is that economic complexity only condenses energy-related environmental risks when such environmental risks caused by energy-related factors are extremely low. Furthermore, economic growth and tradeopenness stimulate energy-related environmental risks but the effects of FDI and urbanization reduce energy-related environmental risks. Therefore, these findings provide insights into achieving environmental sustainability targets in the USA.
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    Towards low carbon and sustainable environment: does income inequality mitigate ecological footprints in Sub-Saharan Africa?
    (Springer, 2023) Gimba, Obadiah Jonathan; Alhassan, Abdulkareem; Ozdeser, Huseyin; Ghardallou, Wafa; Seraj, Mehdi; Usman, Ojonugwa
    This paper contributes to the literature on the environment–economic development nexus by examining whether higher income inequality mitigates environmental degradation in Sub-Saharan Africa for the period 1995?2018. The paper uses the second-generation panel data estimation techniques through the novel augmented Anderson–Hsiao (AAH) estima tor. This method allows regressors to be self-instrumenting and efcient with panel data where the cross-sectional units are greater than time and remains valid even when errors are correlated. The result of the Westerlund cointegration confrms the existence of a long run relationship. Also, the AAH estimation fnds that a 1% increase in income inequality is associated with a 0.567 decline in environmental degradation. Furthermore, a rise in GDP per capita is linked to a reduction in environmental pollution. However, it does not vali date the existence of the environmental Kuznets curve hypothesis. Population growth and urbanization were found to exacerbate environmental degradation while access to electric ity enhances a sustainable environment. To ensure the robustness of the AAH estimation, the Pseudo-Poison Maximum Likelihood Estimator with the high dimensional fxed efects was used. The results showed that, although the efects were smaller, all the coefcients survived. Therefore, our fndings substantiate the marginal propensity to emit hypothesis which posits that in economies with high inequality, there is the likelihood that a large proportion of the population would reduce their energy and other carbon-intensive con sumption, which consequently improves environmental quality. Although this channel of reducing emissions is not sustainable as it comes with huge economic losses. Policy rec ommendations were provided.