We have examined the covariance nexus between temperature, COVID-19 and exchange rate in Wuhan City, China. • Novel methods of Wavelet Transform Coherence, Partial and Multiple Wavelet Coherence are employed for analysis. • Temperature played no role in the containment of COVID-19 in Wuhan. • COVID-19 outbreak in Wuhan had a negative but limited impact on RMB exchange rate against USD during our observation period.
Under the growing threats of climate change, innovation and pollution reduction have become driving forces for cleaner economic growth and the environment. This study endeavors to analyze the effect of economic complexity—understood as structural transformation toward more sophisticated and knowledge‐based production, economic progress, renewable energy consumption, and population growth over carbon emissions. Our study employs panel data for a sample of 28 OECD countries covering the period of 1990–2014. The main contribution to the energy economics literature is given by bringing together the concept of environmental degradation and economic complexity controlling via renewable energy consumption and economic and population growth. Based on the extensive empirical analysis (augmented mean group estimator, panel cointegration, and panel regression techniques), we conclude that economic complexity and renewable energy might help in mitigating the environmental degradation problems in OECD countries.
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