Kashif Munir

TL;DR: In this article, the authors analyzed the long-run and short-run effect of economic growth, trade openness, urbanization and technology on environmental degradation (sulfur dioxide (SO2) emissions) in Asian emerging economies.

TL;DR: In this article, a nonlinear autoregressive distributive lag methodology was applied to examine the long-run and short-run relationship among the variables to analyze the long run and short run nonlinear effect of foreign direct investment (FDI), economic growth (EG) and industrialization on environmental degradation (CO2) emissions) in Pakistan.

TL;DR: Non-linear relationship exists between electricity consumption andCO2 emissions as well as between coal consumption and CO2 emissions in South Asian countries in the long run, and results show that an increase in gas, electricity, coal, and electricity consumption leads to a increase in the carbon dioxide emission, whereas decrease in electricity and coal consumption reduces thecarbon dioxide emissions in theLong run.

TL;DR: Results show that an increase in oil and coal consumption in Australia; oil, gas, and electricity consumption in China; and oil, coal, and gas consumption in USA leads to increase in the carbon dioxide emissions in the long run.

TL;DR: This survey paper presents a systematic, comprehensive, and detailed comparative study by discussing the merits and demerits of different scheduling algorithms, focused optimization metrics, and evaluation tools in the fog computing and IoE environment.