Purpose: The purpose of this paper is to empirically test the economic convergence that operate between five selected Asian countries (namely Thailand, Singapore, Malaysia, the Philippines and Indonesia). In particular, it seeks to investigate how increased economic integration has impacted the...

The Coronavirus Disease 2019 (COVID-19) continues to be a constant threat in 2022 and is important to design appropriate vaccination campaigns to face next pandemic impacts driven by new variants. This study develops a Machine Learning experiment that shows, between countries, a rapid reduction...

While Germany and Japan are going through major energy reforms, natural gas consumption is taking a growing share in their energy supply. This paper adopts a Machine Learning approach to assess the causal link between natural gas consumption and economic growth for both economies. A Causal...

In this study we apply the Elliott's Wave theory to the index S&P 500 for a period of three years, starting from the October 2008 and until December 31, 2011. An analytical forecast for the first half of 2012 has been carried out. Our principle empirical findings underline that the evolution of...

Municipal solid waste (MSW) is one of the most urgent issues associated with economic growth and urban population. When untreated, it generates harmful and toxic substances spreading out into the soils. When treated, they produce an important amount of Greenhouse Gas (GHG) emissions directly...

China, India, and the USA are the world’s biggest energy consumers and CO2 emitters. Being the leading contributors to climate change, these economies are also at the core of environmental solutions. This paper investigates the causal relationship among solar and wind energy production, coal...

Municipal solid waste generation is becoming a prominent issue in the environmental arena. The aim of this paper is to investigate the relationship among municipal waste generation, greenhouse gas emissions, and GDP in Switzerland over the period 1990–2017. We apply both time series procedures...