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Tesi etd-11142023-155250


Tipo di tesi
Tesi di laurea magistrale
Autore
CALABRETTA, MADDALENA
URN
etd-11142023-155250
Titolo
Relevance of gender disaggregated data into Climate Change Mitigation and Adaptation policies development
Dipartimento
ECONOMIA E MANAGEMENT
Corso di studi
ECONOMICS
Relatori
relatore Dott. D'Alessandro, Simone
Parole chiave
  • sustainability
  • climate change
  • gender
  • policy
Data inizio appello
01/12/2023
Consultabilità
Non consultabile
Data di rilascio
01/12/2093
Riassunto
Climate change has been the cause of many natural hazards throughout the past two decades, but in recent times they have become increasingly severe. Thus, the need for the Implementation of Climate Change Mitigations and Adaptations Policies. The main problem with these catastrophes is that the impacts are perceived differently by different conditions, such wealth, location and also gender. From the literature has been shown how women and men perceived different not only the natural hazards different but also the climate Change policies. They differ in several factors, e.g. behavioral pattern, consumption and energy choices, transportation and so on. This can be related to two factor: the different attitude or the different income availabilities. The thesis looks at different policies already implemented within different institutional frameworks, especially concerning European ones (e.g. Sweden, France, Spain, etc.)with a socio-economic excursus about women in different countries, especially in the Global South. The main focus revolves around the need for gender-disaggregated data to use for the drafting of new Climate Change policies in order to be able to make them fairer. In fact, the used theoretical framework is the ‘Just Transition’, so ultimate goal to make a fairer pattern to work on. The most important breakthrough is that there cannot exist fair Climate Change Policies without gender equality indicating an intrinsic connection between these two topics. Additionally, Italy lags behind in terms of gender data and the potential impact of policies, as well as its connection with Climate Change. This gap must be addressed.
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