Regime switching effect of COVID-19 pandemic on renewable electricity generation in Denmark.

Abstract

Denmark has achieved remarkable success in renewable energy generation over the last several decades. However, the country's goals of meeting its 50% energy demand from renewable by 2030 and becoming independent of fossil fuel by 2050 are currently in jeopardy due to the COVID-19 pandemic, which emerged at the end of December 2019 in the Chinese city of Wuhan. This study, therefore, tries to see how COVID-19 affects renewable electricity generation in Denmark using the econometric framework. Several nonlinear estimation techniques such as Fourier ADL cointegration analysis and Markov Switching regression are used to estimate the relationship between the three channels of COVID-19 and renewable electricity generation. The result from the Markov Switching regression reveals that renewable electricity production in Denmark is adversely affected by the enforced lockdown as captured via the stringency index, economic support provided to tackle the pandemic, and daily confirmed deaths of COVID-19. Moreover, the causality test shows that the stringency index and daily confirmed deaths of COVID-19 are important predictors of renewable electricity, but the economic support index has weak causality with renewable electricity. The study finally presents some crucial policy suggestions for Denmark which can help the country achieve its renewable production goals.