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A multi-disciplinary approach to estimate the medium-term impact of COVID-19 on transport and energy: A case study for Italy

Authors: Manfred Hafner; Manfred Hafner; Sergio Vergalli; Sergio Vergalli; Michel Noussan; Nicolò Golinucci; Nicolò Golinucci; +6 Authors

A multi-disciplinary approach to estimate the medium-term impact of COVID-19 on transport and energy: A case study for Italy

Abstract

The aim of this paper is to estimate the potential impacts of different COVID-19 scenarios on the Italian energy sector through 2030, with a specific focus on transport and industry. The analysis takes a multi-disciplinary approach to properly consider the complex interactions of sectors across Italy. This approach includes the assessment of economic conditions using macroeconomic and input-output models, modelling the evolution of the energy system using an energy and transport model, and forecasting the reaction of travel demand and modal choice using econometric models and expert interviews. Results show that the effect of COVID-19 pandemic may lead to mid-term effects on energy consumption. The medium scenario, which assumes a stop of the emergency by the end of 2021, shows that energy-related emissions remain 10% lower than the baseline in the industry sector and 6% lower in the transport sector by 2030, when compared with a pre-COVID trend. Policy recommendations to support a green recovery are discussed in light of the results.

Country
Italy
Keywords

Energy systems, Multi-disciplinary, 2, emissions, COVID-19, CO2 emissions; COVID-19; Energy systems; Integrated-models; Italy; Multi-disciplinary, CO2 emissions, Integrated-models, Article, Multi-disciplinaryItaly, CO, Italy, CO; 2; emissions; COVID-19; Energy systems; Integrated-models; Italy; Multi-disciplinary

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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23
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