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- Title
The Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy.
- Authors
Magazzino, Cosimo; Mele, Marco; Morelli, Giovanna; Domínguez-García, José Luis
- Abstract
This paper examines the relationship between renewable energy consumption and economic growth in Brazil, in the Covid-19 pandemic. Using an Artificial Neural Networks (ANNs) experiment in Machine Learning, we tried to verify if a more intensive use of renewable energy could generate a positive GDP acceleration in Brazil. This acceleration could offset the harmful effects of the Covid-19 global pandemic. Empirical findings show that an ever-greater use of renewable energies may sustain the economic growth process. In fact, through a model of ANNs, we highlighted how an increasing consumption of renewable energies triggers an acceleration of the GDP compared to other energy variables considered in the model.
- Subjects
BRAZIL; COVID-19; COVID-19 pandemic; ECONOMIC expansion; MACHINE learning; ARTIFICIAL neural networks; PHYSIOLOGICAL effects of acceleration
- Publication
Sustainability (2071-1050), 2021, Vol 13, Issue 3, p1285
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su13031285