No abstract

Only twelve years after the global financial crisis, in 2020 the world was again in economic crisis. This time around, the source of the crisis was the COVID-19 global pandemic, which has affected the economy differently than the global financial crisis. However, as they were in 2008-2009, conventional macroeconomic theory and models have once again been found wanting, and economists have again turned for insights to the work of Keynes and more recent post-Keynesian scholars. This paper explores a simulation of the macroeconomic impacts of COVID-19 using the E3ME macro-econometric model. It describes two potential recovery packages, one of which could be described as 'green'. The modelling shows that the green recovery package could support the global economy and national labour markets through the recovery period, outperforming an equivalent conventional stimulus package while simultaneously reducing global CO 2 emissions by 12%. Key policy insights. A green recovery plan is assessed against a reference scenario with COVID-19. It outperforms a non-green recovery plan of comparable value, while also reducing CO 2 emissions by up to 12% below the reference scenario (15% below no-COVID baseline). . The policies in the green recovery plan provide different relative impacts. Car scrappage schemes that promote the uptake of electric vehicles have the largest impact on GDP and jobs. Renewables, energy efficiency and electric vehicle promotion all have large impacts on emissions. . The green recovery plan boosts production levels in all sectors of the economy except for energy and utilities. It boosts the consumer services sector that has been most affected initially by the pandemic but also the investment sectors that could suffer longer-term damage.

Despite the significant volume of fiscal recovery measures announced by countries to deal with the COVID-19 crisis, most recovery plans allocate a low percentage to green recovery. We present scenarios exploring the medium- and long-term impact of the COVID-19 crisis and develop a Green Recovery scenario using three well-established global models to analyze the impact of a low-carbon focused stimulus. The results show that a Green Recovery scenario, with 1% of global GDP in fiscal support directed to mitigation measures for 3 years, could reduce global CO2 emissions by 10.5–15.5% below pre-COVID-19 projections by 2030, closing 8–11.5% of the emissions gap with cost-optimal 2°C pathways. The share of renewables in global electricity generation is projected to reach 45% in 2030, the uptake of electric vehicles would be accelerated, and energy efficiency in the buildings and industry sector would improve. However, such a temporary investment should be reinforced with sustained climate policies after 2023 to put the world on a 2°C pathway by mid-century.

The article discusses how and why Green Recovery could be beneficial for the Visegrad countries based on a modelling exercise using the E3ME macroeconometric model. Green Recovery is defined as including policies in recovery plans that not only target economic recovery, but also contribute to environmental targets. The paper proposes that a Green Recovery could be valuable and suitable for the region contributing to both restoring employment and boosting economic activity as well as reaching climate goals. This is tested through a macroeconomic simulation, using the E3ME model. E3ME is built on Post-Keynesian economic theory and on econometric estimations of macroeconomic relationships. The results of the analysis focus on three dimensions: (1) social – employment, (2) environmental – level of CO2 emissions and (3) economic activity – gross domestic product (GDP). Outcomes indicate that a green recovery can shorten the time needed for employment and economic recovery as well as contributes to CO2 emission reductions. In Hungary, Czechia and Poland, the impact persists into the long-term; however, the paper also concludes that countries with high reliance on coal (e.g. Poland) could return to coal in the long term if no further policies are introduced.

Despite the significant volume of fiscal recovery measures announced by countries to deal with the COVID-19 crisis, most recovery plans allocate a low percentage to green recovery. We present scenarios exploring the long-term impact of the COVID-19 crisis and develop a Green Recovery scenario using three global models to analyze the impact of a more ambitious allocation. The results show that a Green Recovery scenario, with 1% of global GDP in fiscal support directed to mitigation measures for three years, could reduce global CO2 emissions by 10.5−15.5% below pre-COVID projections by 2030. The share of renewables in global electricity generation is projected to reach 45% in 2030, the uptake of electric vehicles would be accelerated, and energy efficiency in the buildings and industry sector would improve. However, such a temporary investment should be reinforced with sustained climate policies after 2023 to lead to socio-economic restructuring towards carbon neutrality by mid-century.