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In recent years, most countries have shown keen interest in achieving spectacular economic development through diversifying and sophisticating their export growths. This growth uprising process requires energy consumption. Amid this scenario, this study delves into whether the disaggregate energy consumption (renewable and non-renewable) promotes export diversification and sophistication strategies in OECD countries during 1990–2019. The contribution of this study is to construct two novel indices, e.g., export diversification and sophistication and incorporate them into the study model as the dependent variables. Moreover, using the CS-ARDL approach, the study finds that disaggregate energy consumption contributes to spurring export diversification and sophistication for the OECD countries where non-renewable energy consumption's influence is more potent than renewable energy. Besides, the regressors, such as FDI, human capital, and institutional quality, also promote export diversification and sophistication in the OECD countries. Finally, this research validates the findings yielded from the CS-ARDL method by employing the System GMM (SGMM) approach due to the endogeneity issue appearing in the panel data. This study puts notable policy recommendations based on explored findings. [ABSTRACT FROM AUTHOR]

In modern days, economic growth is energy‐dependent and vice versa. Earlier studies concentrated a bit to analyze the influence of globalization and politico‐administrative factors on the energy consumption‐economic growth nexus in developing economies. The motivation for the current research is to scrutinize the energy consumption‐economic growth nexus while accounting for the influence of globalization and country risk indicators—the politico‐administrative factors in a panel of 4 South Asian countries (Bangladesh, India, Pakistan, and Sri Lanka) during 1980–2018. To check the issues of heterogeneity and cross‐sectional independence, the study employs the pooled mean group estimation method. The investigated results provide a nexus between energy consumption and economic growth where globalization ‐ a long‐run force positively affects this nexus in the long run and negatively in the short run. Besides, the politico‐administrative factors have an adverse impact in the long run and an insignificant effect on this nexus in the short run. The Dumitrescu–Hurlin non‐causality test establishes the feedback hypothesis concerning energy consumption‐economic growth nexus in South Asian economies. The study results remain robust across the dynamic ordinary least square estimator. Therefore, this study suggests sustaining the energy‐growth nexus to properly handle globalization and politico‐administrative and the Covid‐19 pandemic issues through institutional quality. Moreover, the objective‐oriented policies are critical to strengthening the energy‐growth nexus without decaying environmental quality in South Asian countries. [ABSTRACT FROM AUTHOR]

The rapidly evolving technological landscape, fuelled by AI, has become a global focal point, while optimized robotic energy consumption offers significant productivity gains for tech companies. However, AI-driven industries are susceptible to the geopolitical risks, affecting their outputs. This study examines the disaggregated energy consumption of AI-driven tech companies' industrial outputs in the most robot density country, Singapore during July 2010–March 2021. The partial cross-quantilogram approach-based findings reveal a significantly positive spillover effect of both renewable and non-renewable energy consumption on AI-driven tech industrial outputs in all quantiles (q.10-q.90) under long memory, where geopolitical risk 'threats' and 'acts', negatively impact these industrial outputs and renewable and non-renewable energy-augmented tech industrial outputs mirrored by AI in the upper quantiles (q.60-q.90) under booming market conditions. The study's findings are robust using the wavelet local multiple correlation technique. The policy implications emphasize optimizing AI utilization in energy consumption for enhanced tech company productivity and addressing geopolitical risks effectively. • Explores energy consumption in AI-powered tech outputs in Singapore. • Uses the partial cross-quantilogram approach to check spillover effect. • Renewable and non-renewable energy have positive spillover effect. • Geopolitical risk 'threats' and 'act' have negative spillover on AI outputs. • Findings robust across wavelet local multiple correlation technique. [ABSTRACT FROM AUTHOR]

Geopolitical risks significantly impact global energy consumption, hindering material trade and influencing policy decisions. Specifically, the Russian uranium supply for US nuclear energy production faces geopolitical risks despite being exempt from ongoing sanctions imposed by Western and European entities during the Russia-Ukraine conflict. We investigate the effect of global, Russian, and US geopolitical risks on US nuclear-energy consumption driven by Russian uranium exports from January 1996 to December 2019. The cross-quantilogram analysis reveals a negative influence of global geopolitical risks on Russian uranium export-driven US nuclear-energy consumption in lower quantiles, and a positive effect in medium to upper quantiles under long memory. Interestingly, Russian geopolitical risks do not have any significant effect, while US geopolitical risks positively impact from the medium to upper quantiles in extended memory. Hence, our policy suggestion is solely concerned with adequately dealing with global geopolitical risks under the global governance platform to enhance worldwide uranium trade for nuclear energy consumption in the USA. • Studies global, Russian and US geopolitical risks' effects on Russian uranium export-driven US nuclear energy use. • Applies the cross-quantilogram and wavelet coherency analysis approaches. • Finds global geopolitical risks' negative impact on Russian uranium export-driven US nuclear energy use. • Russian own geopolitical risks have no significant effect on Russian uranium export-driven US nuclear energy use. • US geopolitical risks affects Russian uranium export-driven US nuclear power consumption. [ABSTRACT FROM AUTHOR]

Many researchers investigate the socio-demographic and economic factors-induced energy consumption, particularly fossil fuel-based non-renewable energy consumption, but there exists a scarcity to study on the same factors-driven renewable energy consumption along with institutional quality factor. Given this, our research strives to analyse the relative influence of income growth, foreign direct investment, domestic investment, urbanization, physical infrastructure, and institutional quality on renewable and non-renewable energy consumption in Bangladesh for the period of 1990–2019 using the dynamic ARDL (DARDL) simulations method. The empirical findings divulge that income growth shows positive and negative effect on renewable and non-renewable energy consumption, respectively. Domestic investment has positive effect for renewable and non-renewable energy consumption. Foreign direct investment is found to have positive influencing factor for renewable energy consumption. Urbanization negatively impacts renewable energy consumption but urbanization affects non-renewable energy consumption positively. Physical infrastructure is a negative and positive determinant of renewable and non-renewable energy consumption, respectively. Institutional quality positively affects renewable energy consumption. The robustness of the results is comparatively exhibited using the DARDL simulations area plots where 20% positive and negative shocks to the predictors on the predicted variables are presented. [Display omitted] • Influencing factors of renewable and non-renewable energy consumption are discussed. • Economic growth promotes renewable energy consumption. • Domestic investment adds to renewable energy consumption. • Foreign direct investment promotes and declines non-renewable energy consumption. • Physical infrastructure is a negative and significant determinant of renewable energy consumption. [ABSTRACT FROM AUTHOR]

Bangladesh's recent doorway to the spectacular growth trajectory is largely associated with the shared contributions of globalization, FDI, trade, economic growth, urbanization, energy consumption, innovation, and institutional quality that affect its natural environment. Earlier studies hardly incorporated these dynamics together especially innovation and institutional quality to examine their impacts on environmental degradation in Bangladesh. This study attempts to scrutinize the effect of globalization, foreign direct investment, economic growth, trade, innovation, urbanization, and energy consumption on CO2 emissions in the presence of institutional quality in Bangladesh over the period 1972–2016 by utilizing dynamic ARDL simulations' model by Jordan and Philips (2018). The investigated results depict that globalization; foreign direct investment, and innovation have a negative effect on CO2 emissions in improving environmental quality while economic growth, trade, energy consumption, and urbanization positively impact CO2 emissions and hence stimulate environmental degradation both in the long and short run. Besides, institutional quality measured by the political terror scale (PTS) affects CO2 emissions positively and thereby degrades the quality of the environment in both the long and short run. Therefore, policy implication should go toward encouraging globalization, foreign direct investment and innovation; and the sensible utilization of income growth, trade potentials, energy consumption, urbanization and institution is required for the sake of environmental quality in Bangladesh. [ABSTRACT FROM AUTHOR]

This paper investigates the nexus between energy consumption and economic growth in Bangladesh over the period 1971–2018 using the autoregressive distributed lag (ARDL) approach to cointegration. The main contribution of this study is the inclusion of exogenous dynamic (globalisation) and endogenous factor (political risk indicator measured by political terror scale (PTS)) to the energy consumption–economic growth nexus. The study explores an energy consumption–economic growth nexus where globalisation and PTS have both positive and negative influences on this relationship in the short run and long run. The Toda–Yamamoto Granger causality test confirms the feedback hypothesis, that is bidirectional causal relationship between energy consumption and economic growth, and the result is further verified by the impulse response function. Therefore, policymakers should enhance the availability of energy for people and industries to continue the existing momentum of economic growth. Besides, the government should cautiously deal with both the globalisation and political risk issues about energy consumption–economic growth nexus in Bangladesh. [ABSTRACT FROM AUTHOR]

Just after the Indian government issued the first lockdown rule to cope with the increasing number of COVID-19 cases in March 2020, the energy consumption in India plummeted dramatically. However, as the lockdown relaxed, energy consumption started to recover. In this study, we investigated how COVID-19 cases affected Indian energy consumption during the COVID-19 crisis by testing if the lockdown release had a positive impact on energy consumption and if richer regions were quicker to recover their energy consumption to the level before the lockdown. Using the autoregressive distributed lag (ARDL) model, the study reveals that a long-run relationship holds between the COVID-19 cases and energy consumption and that the COVID-19 cases have a positive effect on Indian energy consumption. This result indicates that as lockdown relaxed, energy consumption started to recover. However, such a positive impact was not apparent in the Eastern and North-Eastern regions, which are the poorest regions among the five regions investigated in the study. This implies that poorer regions need special aid and policy to recover their economy from the damage suffered from the COVID-19 crisis. [ABSTRACT FROM AUTHOR]