• Energy Research

Over the last few decades, environmental deterioration has accelerated significantly. Environmental degradation has been a subject of research across the world because of its impact on billions of people. However, there has been no international agreement on lowering the utilization of energy and CO2 emissions (CO2), while demand for fossil fuels grows in emerging economies. On the other hand, the recent COP26 summit brought all parties together to accelerate action toward reaching the goals of the Paris Agreement and the UN Framework Convention on Climate Change. Although previous research shows that international trade promotes positive socioeconomic outcomes, other experts argue that it contributes to natural resource shortages and ecological deterioration. Thus, the current research considers the effect of international trade, renewable energy use and technological innovation on consumption-based carbon emissions (CCO2), coupled with the role of financial development and economic growth in the BRICS economies between 1990 and 2018. Moreover, this research utilizes the common correlated effects mean group (CCEMG), augmented mean group (AMG) and Dumitrescu and Hurlin (2012) causality methods to assess these interrelationships. The study findings reveal that renewable energy use, exports and technological innovation mitigate CCO2, whereas economic growth and imports trigger CCO2 in the BRICS economies. The panel causality outcomes also reveal that all the variables except financial development can predict CCO2 emissions. Based on the study findings, we recommend the adoption of policies, regulations and the development of legislative frameworks that promote technological innovation and the shift toward sustainable energy.

Abstract Globally we are at a crossroad whereby energy production and consumption in themselves is partly blamed for climate change issues and global warming menace. The question that comes to heart is do we stop seeking energy production and consumption? of course no. Thus, there is a need for innovation on part of economies as they seek energy for sustainable development. This country-specific study focuses on South African, which reflects the above highlights menace in no small measure where her economic growth trajectory is plagued with high CO2 emission. To this end, we explore the nexus between coal energy consumption, economic growth, renewable energy consumption and CO2 emission between annual periods of 1980–2017. This study applied a battery of econometric techniques to underscore the relationship between the outlined variables. According to the ARDL bounds test to cointegration in conjunction with Kripfganz and Schneider (2018) critical approximation p-values both affirm long-run equilibrium relationship between study variables. Empirical evidence gives credence to the growth-induced pollution emission in South Africa as reported by the Autoregressive distributed lag Method, fully modified ordinary least squares and dynamic ordinary least squares as robustness test for soundness of analysis. This finding suggests that South Africa's economic growth trajectory is not clean. This preposition is resonated with the result of coal energy consumption also dampening environmental quality. Financial development shows strong statistical strength to improve the quality of the environment. These outcomes are indicative for policymakers as there is urgent need to energy transition from conventional energy based on fossil fuel (coal energy) to renewable energy mix which is more environmentally friendly should be pursued in South Africa.

Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan’s energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan’s environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan’s ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation’s energy sector.

Understanding the factors that influence life expectancy (LEXP) is crucial for promoting economic development, as a nation's prosperity depends on the health of its population. Various socioeconomic, nutritional, lifestyle, genetic, and environmental factors can significantly impact a nation’s health and longevity. Our study investigates these drivers of LEXP, focusing on the United States as a case study. Using quarterly data from 2000 to 2022, we examined the relationship between LEXP and multiple determinants, including environmental degradation, income levels, inflation dynamics, educational attainment, birth and death rates, health expenditure patterns, urbanization trends, and infant mortality rates. Employing advanced analytical methodologies, we accounted for the nonlinear nature of the time series data by utilizing approaches such as quantile-on-quantile Kernel Regression Least Squares and quantile-on-quantile Granger causality. The study revealed that factors such as inflation rate, rapid urbanization, high birth rates, CO2 emissions, death rates, and infant mortality negatively affect LEXP. On the other hand, higher income levels, educational attainment, food production, and health expenditure positively influence LEXP. Based on these findings, we have proposed significant policy recommendations.

Many emerging economies, including the BRICS economies, are having difficulty meeting the Sustainable Development Goals’ (SDGs) objectives. Consequently, this research discusses the creation of an SDG framework for the BRICS economies, which can be utilized as a model for other blocs. To achieve this purpose, this research probes into the effect of biomass energy usage on ecological footprint in the BRICS economies between 1992 and 2018, considering the roles of gross capital formation, natural resources, and globalization. The novel Methods of Moments-Quantile-Regression (MMQR) approach with fixed effects is used, the outcomes of which reveal that in all quantiles (10th to 90th), globalization and biomass energy use mitigate environmental degradation, whereas economic growth, natural resources, and gross capital formation contribute to environmental degradation. The present research applied a series of techniques such as panel FMOLS, and DOLS, FE-OLS, the outcomes of which disclosed that globalization and biomass energy utilization help mitigate environmental degradation, while economic growth, natural resources, and gross capital formation improve environmental degradation. On the basis of the study’s findings, we suggest a shift in energy policies away from fossil fuels toward renewable energy alternatives by taking measures regarding the innovation of biomass to improve conversion efficiency.

Since renewable energy is essentially non-carbohydrate in nature, it can generate little or no pollutants and can therefore help in achieving both sustainable development and environmental quality. In this regard, the question that continues to persist is whether economic growth, economic globalization, and political risk can potentially affect renewable energy in the presence of environmental deterioration. In this context, the current research provides evidence to support this theoretical context by investigating the impact of economic globalization, economic growth environmental degradation, and political risk, on the usage of renewable energy in Vietnam using a dataset spanning the period between 1984 and 2019. For empirical analysis, the dynamic autoregressive distributed lag approach is utilized. Based on our analysis, economic growth positively impacts renewable energy in the long and short term. Economic globalization also positively affects renewable energy in the long term, but a neutral impact is uncovered in the short term. Political risk and environmental degradation are adversely related to renewable energy in the short and long run. The findings from the frequency domain approach reveal a causal interaction from political risk to renewable energy, and from renewable energy to economic globalization, whereas a feedback causal interaction is discovered between renewable energy and environment degradation, as well as between economic growth and renewable energy. From a policy standpoint, we propose that the Vietnamese policymakers need to consider economic globalization as a renewable energy promotion tool via capital inflow, foreign direct investment, and technological transfer.

AbstractThis study examines the impacts of digitalization through information and communication technology (ICT) and environmental taxes on greenhouse gas (GHG) emissions in 23 European Union (EU) countries between 2000 and 2017. Using the Pooled Mean Group estimator, the empirical results provide evidence that ICT development and environmental taxes improve environmental sustainability while research and development investments and income per capita deteriorate environmental sustainability. Furthermore, the results based on the Dynamic Panel Threshold Regression model show that the relationship between ICT and GHG emissions is dependent on the level of environmental taxes. During the period of low environmental taxes, the effect of ICT on GHG emissions is positive and insignificant but once environmental taxes cross the threshold value, the effect of ICT becomes negatively related to greenhouse gas emissions. This suggests that the period of low environmental taxes does not support the environmental friendliness of ICT development in the European region. The policy implication of these findings is that ICT, environmental taxes, and renewable energy can be possibly stirred up to achieve long‐term environmental sustainability in the EU region.

The association between carbon emissions and international trade has been examined thoroughly; however, consumption-based carbon emissions, which is adjusted for international trade, have not been studied extensively. Therefore, the present study assesses the asymmetric impact of trade (import and export) and economic growth in consumption-based carbon emissions (CCO2) using the MINT nations (Mexico, Indonesia, Nigeria and Turkey) as a case study. We applied the Nonlinear ARDL to assess this connection using dataset between 1990 and 2018. The outcomes from the BDS test affirmed the use of nonlinear techniques. Furthermore, the NARDL bounds test confirmed long-run association between CCO2 and exports, imports and economic growth. The outcomes from the NARDL long and short-run estimates disclosed that positive (negative) shocks in imports increase (decrease) CCO2 emissions in all the MINT nations. Moreover, positive (negative) shocks in exports decrease (increase) CCO2 emissions in all the MINT nations. As expected, a positive shock in economic growth triggers CCO2 emissions while a negative shift does not have significant impact on CCO2 emissions in the MINT nations. Furthermore, we applied the Gradual shift causality test and the outcomes disclose that imports and economic growth can predict CCO2 emissions in the MINT nations. The study outcomes have significant policy recommendations for policymakers in the MINT nations.