Return to search

Drivers of Societal Transformation towards Climate Neutrality : What do participants at COP26 perceive as the most effective drivers of societal transformations?

To achieve the goals set by Agenda 2030 and the Paris Agreement, a societal transformation towards climate neutrality is required. However, the idea of ‘transformation’ is conceptually vague and deeply political. It is thus important to get a better understanding of this concept. This thesis explores what participants at COP26 perceive to be the most effective drivers for societal transformations towards climate neutrality, and what variations in their perceptions are visible. This was done using surveys taken at COP26, which have been analysed using Excel and the chi-square test in SPSS. Out of the thirteen driver themes that were identified in the coding scheme, it was found that Economic Sphere and Sectors, Civil Society and Public Opinion, Knowledge and Technology, and Governmental Sphere and Institutions were perceived to be the most effective driver themes. These results corroborate important drivers proposed in existing literature. Comparing the dataset to a variety of global indexes, it was found that participants from countries that are ranked relatively low on these global indexes generally perceive Economic Sphere and Sectors as an effective driver theme, while participants from higher-ranked countries generally focused more on the driver themes Governmental Sphere and Institutions, Behavioural and Cultural Change, and Incentives. An attempt has been made to explain these results, but much more research and additional data is needed to better understand the findings.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-186985
Date January 2022
CreatorsLaane, Kim
PublisherLinköpings universitet, Tema Miljöförändring
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

Page generated in 0.0019 seconds