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Promoting financial sustainability is the focus of current state policies while addressing the concerns of environmental pollution. The alarming impacts of climate change on economies motivate us to revisit an intensive empirical study to explore the dynamic relationships of low-carbon energy, current account balance, and reserves with carbon dioxide (CO2) emissions in the most polluted countries across the globe for the years 1981–2020. We applied the dynamic autoregressive distributive lag (D-ARDL) simulation model to investigate the short and long-run connection. The empirical outcomes of the study uncover that in the short run, a 1% increase in renewable energy reduces CO2-based emissions by 0.417%, 0.169%, and 0.619% in China, the USA, and India, respectively. We further explored that China's and the USA's economic growth causes environmental deterioration. In contrast, a 1% increase in current account balances improves the environmental quality of China and India by 0.3% and 0.6%, respectively. This research concludes that model variables significantly impact the environment. Therefore, it is necessary to draw policy implications to increase the consumption of low-carbon energy to sustain economic growth by limiting the adverse impacts of economic activities. [ABSTRACT FROM AUTHOR]

Cancer is a disease that is rapidly expanding in prevalence all over the world. Cancer cells canmetastasize, or spread, across the body and impact several different cell types. Additionally, the incidence rates of several subtypes of cancer have been on the rise in India. The countermeasures for the cancer disease can be taken by determining the specific expansion rate of each type. To rank the various forms of cancer's rate of progression, we used some of the available data. Numerous studies are available in the literature which show the growth rate of cancer by different techniques. The accuracy of the scheme in determining the highest growth rate may vary due to the variation in the dependent factors. Within the context of this research, the Fuzzy triangular technique for order preference by similarity to ideal solution (TOPSIS), is utilized to rank the various categorizations of cancer with the help of four groups of medical professionals acting in the capacity of decision-makers. The number of decision-makers may variate according to the required accuracy of results. The findings of the three-dimensional Fuzzy TOPSIS analysis categorize each variety of cancer according to the rate at which it spreads over time. Numerical results along with visual representation are presented to examine the efficiency of our proposed work. [ABSTRACT FROM AUTHOR]

This article tests the relationship between ownership and firm performance in emerging countries; Russia, India, and China. Annual financial and accounting data of 213 state-owned and 3,624 non-state-owned enterprises- for the period 2011–2015 are compiled from Orbis. The empirical results show that on average, the firm performance is negatively associated with state-owned enterprises in Russia, India and China. This is also confirmed with country-specific analysis except for Russia. These results suggest that among emerging countries, India and China's state-owned enterprises are less profitable in comparison to non-state-owned enterprises. Lower profitability of state-owned enterprises is justified by the argument that the main goals of enterprises under state control are not in line. [ABSTRACT FROM AUTHOR]