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The coronavirus pandemic has infected more than 100 million people worldwide with COVID-19, with millions of deaths across the globe. In this research, we explored the effects of environmental and weather variables with daily COVID-19 cases and COVID-19 fatalities in Istanbul, Turkey. Turkey has the 8th highest number of COVID-19 cases globally, with the highest infections and deaths in Istanbul. This may be the first study to conduct a comprehensive investigation for environmental quality (air quality pollutants, e.g., PM2.5 and PM10, ozone, nitrogen dioxide, sulfur dioxide, carbon monoxide, etc.), weather parameters (temperature, humidity) and COVID-19 in Turkey. The authors collected meteorological data from 11 March 2020 to 8 February 2021 and COVID-19 data from Istanbul and other regions. The results from empirical estimations, correlation analysis, and quantile on quantile techniques support that air quality and temperature significantly influence COVID-19 deaths in Istanbul. This research may help policymakers and health scientists to take specific measures to reduce the spread of coronavirus across different global cities. The effects of air quality on COVID-19 in Istanbul was investigated. The study applied correlation and quantile on quantile techniques over daily data. Temperature significantly induces the spread of COVID-19 in Istanbul at all quantiles. Air quality and Nitrogen are positively linked with COVID-19 new cases. [ABSTRACT FROM AUTHOR]

This study investigates the role of the import diversification in the renewable energy consumption for a global panel of both developing and developed economies. The study applies panel co-integration and panel quantile regression analysis on the panel data of 138 countries during 1995–2018. For empirical analysis, the authors used Pedroni) cointegration test and panel-quantile regressions. The investigation proves that the import diversification significantly reduces the renewable energy consumption and there is a major need for designing and implementing some revised and synchronized policies of trade with the energy mix and sustainable development goals. The empirical findings claim that the foreign direct investments, natural resources and GDP increase significantly boost the renewable energy demand for both groups of developing and developed countries. Therefore, this study shows that generally the current trade policies might be ineffective and import diversification policies should be reformed to match with the energy regulations, manufacturing, and sustainable development goals. [ABSTRACT FROM AUTHOR]

The prime objective of this article is to examine the heterogeneous impacts of economic complexity on renewable energy demand within a panel of G7 and E7 countries. One of the important contributions of this research is to explore the role of overall structural change and economic factors for renewable and cleaner energy in developed and emerging economies. The existing literature points to scant research about the impacts of economic complexity on energy transformation and renewable energy adoption. During recent years, the G7 and E7 countries have encountered enormous competition in manufacturing and industrialization and are also experiencing global pressure from both climate change and Sustainable Development Goals (SDGs) for the promotion of renewable energy infrastructure. Taking into consideration the heterogeneity of issues, the authors apply the Westerlund cointegration and heterogeneous panel data techniques (FGLS, system GMM, FMOLS, and DOLS) for an in-depth, empirical analysis. Interestingly, empirical findings indicate that economic complexity affects renewable energy demand from G7 and E7 countries. This paper documents that economic complexity is a policy factor for overall energy transformation and greener energy demand. This study recommends that complexity and structural change policies should be observed for cleaner and greener growth and overall greener energy promotion. [ABSTRACT FROM AUTHOR]