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Climate Policies in Decarbonization Strategies: A computational approach
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Advisor(s)
Abstract(s)
ABSTRACT: The transition to a low-carbon society should accelerate to avoid an increase in the temperatures above 1.5º to 2ºC, and this is unlikely to occur without policy intervention (IPCC, 2022). Given the complexity of the problem to be addressed, recent debates have increasingly pointed to the need of adopting a broader view on policy intervention (Weber and Rohracher, 2012; Hekkert et al., 2020). This entails a move beyond a single focus on economic competitiveness and growth, towards a focus on societal problems or “grand challenges”, leading to the emergence of the concept of transformative innovation policy (Schot and Steinmueller 2018; Dierks et al, 2019). This new rationale implies the consideration of a much broader range of policy objectives, targets and instruments, as well as the notion that a mix of policies needs to be deployed to achieve the desired goals (Rogge and Reichardt 2016). While this policy rationale has started to enter innovation policy agendas, it remains to be seen to what extent it is reflected in the actual policies being implemented (Casula, 2022; Peñasco et al., 2021). On the other hand, it is also unclear whether the directions set by those policies
align with the visions and strategies for decarbonization and whether there are still uncovered areas.
Description
Keywords
Decarbonization Policy strategies Artificial intelligence
Citation
Fontes, Margarida... et.al - Climate Policies in Decarbonization Strategies: A computational approach. In: 7ª Edição do Workshop Dinâmicas Socioeconómicas e Territoriais Contemporâneas: Rumos da Investigação num Mundo em Transformação. Livro de Resumos. DINÂMIA'CET-Iscte, Lisboa, Portugal, 22-23 Maio, 2023, p. 32-33