Mercado de energia pós-SARS-CoV-2: relação estrutural de seus fatores críticos
DOI:
https://doi.org/10.18046/j.estger.2021.158.4396Palavras-chave:
SARS-CoV-2, mercado de energia, COVID-19, modelagem estrutural interpretativa, método de impactos cruzadosResumo
O objetivo deste artigo foi modelar estruturalmente os fatores de alta prioridade frente ao impacto do SARS-coV-2 no mercado de energia. Para tal, o método baseou-se na modelação estrutural interpretativa e na matriz de multiplicação de impactos cruzados aplicada a uma classificação. Conclui com um modelo de 12 fatores estruturados hierarquicamente em seis níveis, nos quais as preferências de consumo, modificações regulatórias e normativas, restrições políticas e estratégias de planejamento são as que têm maior influência no mercado de energia desde a perspectiva do México. Derivado disso, uma abordagem é uma maior participação de atores públicos e privados nos vetores de energia renovável.
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