Autor(es): Bento, Nuno ; Alves, Tiago ; Ribeiro, Ricardo ; Fontes, Margarida
Data: 2024
Identificador Persistente: http://hdl.handle.net/10400.9/4346
Origem: Repositório do LNEG
Assunto(s): Decarbonization; Climate change; Technological innovation systems; Social networks; Artificial intelligence
ABSTRACT: Addressing the urgent climate change requires a clear knowledge of the options available, as well as an understanding of the possible strategies to reduce carbon emissions. Identifying realistic pathways for decarbonization is crucial to inform agents’ decisions about the relevant measures (Turnheim & Nykvist, 2018), with unawareness of these pathways often delaying climate action (Bergek et al, 2023). This paper seeks to identify, categorize, and analyze decarbonization pathways from the scientific literature, uncovering cross-cutting dimensions, interconnections, and regional trends for enhanced decision-making and accelerated change.
