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In line with the pursuit of clean and affordable energy, our study contributes to the United Nations Sustainable Development Goals (UNSDGs-7 and -13) and the global fight against climate change by offering evidence-based insights. We conducted a panel analysis of BRICS (Brazil, the Russian Federation, India, China, and South Africa) economies to investigate the relationship between financial development and renewable energy utilization. Our empirical findings highlight a positive statistical association between economic growth and renewable energy consumption, indicating that higher economic growth correlates with increased renewable energy adoption. Similarly, significant positive relationships are observed between the consumer price index and domestic credit with renewable energy consumption. Moreover, our study also uncovers a counterintuitive relationship between foreign direct investment and renewable energy consumption. These results provide valuable insights into the determinants of renewable energy consumption in BRICS countries. From a policy perspective, we advocate for robust strategies to promote the adoption and utilization of renewable energy sources alongside the implementation of policies encouraging the uptake of clean technologies. Such measures can spur economic growth and contribute to achieving low-carbon targets and sustainability goals within the BRICS economies. Practical steps, including incentives like feed-in tariffs and subsidies, can further enhance the cost-effectiveness of renewable energy adoption in the investigated bloc.

Coal is crucial for economic progress but equally baneful to the environment. Thus, the coal consumption-environmental sustainability nexus attracted the attention of both policymakers and scholars. This study evaluates the coal consumption-environment nexus in developed and developing countries over the period 2000–2020. We used panel data econometric techniques and the Augmented Anderson–Hsiao (AAH) two-step GMM estimator to assess and compare the impact of coal consumption on CO2. The findings revealed that the consumption of coal aggravates environmental pollution and hinders environmental sustainability. Thus, this study confirms the environment-destroying effect of coal consumption. However, the findings reveal that the negative consequence of coal consumption on the environment is more for the sample of developed countries than that of developing countries. This suggests that coal use harms the environment developed economies than the developing countries. Specifically, we found that the carbon emissions emanating from a one percent (1%) increase in coal consumption of the developed countries is about six-fold more than that of the developing countries. Therefore, this study suggests a gradual phase-out, rather than sudden phase-out, of coal consumption with greater emphasis on developed countries. The implementation of the coal phase-out policy and the removal of fossil fuel subsidies should start with the developed countries or be made more stringent in such countries than the developing economies. The developed countries should relinquish a greater proportion of their coal consumption than the developing countries.

Nuclear energy has the potential to play an influential role in energy transition efforts than is now anticipated by many countries. Realizing sustainable human development and reducing global climate crises will become more difficult without significantly increasing nuclear power. This paper aims to probe the role of nuclear energy, external debt, and financial globalization in sustaining human development and environmental conditions simultaneously in BRICS (Brazil, Russia, India, China, and South Africa) countries. This study applied a battery of second-generation estimation approaches over the period from 1990 to 2019. These methods are useful and robust to cross-countries dependencies, slope heterogeneity, parameters endogeneity, and serial correlation that are ignored in conventional approaches to generate more comprehensive and reliable estimates. The empirical findings indicate that nuclear energy and financial globalization contribute to human development, whereas external debt inhibits it. Similarly, financial globalization accelerates ecological deterioration, but nuclear energy and external debt promote environmental sustainability. Moreover, the study reveals bidirectional feedback causalities between human development, carbon emissions and nuclear energy consumption. The study offers useful policy guidance on accomplishing sustainable and inclusive development in BRICS countries.

Achieving sustainable development requires an increasing share of green technologies. World energy demand is expected to rise significantly especially in developing economies. The increasing energy demands will be entertained with conventional energy sources at the cost of higher emissions unless eco-friendly technologies are used. This study examines the asymmetric effects of nuclear energy on carbon emissions for Pakistan from 1974 to 2019. Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) unit root tests suggest that variables are integrated of order one and bound test of Autoregressive Distributed Lag (ARDL) and nonlinear ARDL confirm a long-run relationship among selected variables. The ARDL, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) results show that the coefficient of nuclear energy has a negative and significant impact on emissions in both short and long run. Further, the NARDL finding shows that there exists an asymmetric long-run association between nuclear energy and CO2 emissions. The vector error correction method (VECM) results indicate that there exists a bidirectional causal relationship between nuclear energy and carbon emissions in both the short and long run. Additionally, the impact of nuclear energy on ecological footprint has been examined and our findings remain robust.

In this study, the population growth of the brain tumor GBM, is constructed such as( )( ( ) ( [ ] )) ( ) ( [ ] ) ( ) ( [ ] )( )( ( ) ( [ ] )) ( [ ] ) ( ) [ ]1 1 1 2 1 12 2 1 2 1 2d = ( ) rx t R x t x t x t y t d x t x tdd =r y t R y t y t x t y t d y( ) ( t )dx px tty t ytα α γβ β γ⎧ + − − ⎡ ⎤ − ⎡ ⎤ − ⎡ ⎤ ⎣ ⎦ ⎣ ⎦ ⎣ ⎦ ⎪⎪⎨⎪− − ⎡⎣ ⎤⎦ + ⎡⎣ ⎤⎦ − ⎡⎣ ⎤⎦ ⎪⎩(A)where t = 0 , the parameters 1 2 1 2 1 1 2 1 2 1 α ,α , β , β ,γ , p, d , d ,R , R , r and 2 r are positivereal numbers and [[t]] denotes the integer part of t∈[0,8) . System (A) explains a tumorgrowth, that produces after a specific time another tumor population with different growth rateand different treatment susceptibilities. The local and global stability of this model is analyzedby using the theory of differential and difference equations. Simulations and data of GBM givea detailed description of system (A) at the end of the paper.