Final thesis
- Research project:Determining clusters of energy policy support among the public
- type:Final thesis
- Date:As soon as possible, 3-6 months, German or English
- Tutor:
Dr. Daniel Sloot | 0721 608-44575 | daniel.sloot@kit.edu
- Research group:
- links:Download Final thesis
Details Final thesis
- Background
The sustainable energy transition requires not only technical innovation but also the support of the public for new technologies and policies. The public needs to accept a range of energy policies, from renewable energy production to efficiency improvements in buildings and sustainable mobility policies. Previous research has investigated when and why the public supports such policies, but has mostly focused on single policies, thus not considering support for multiple policies at once Therefore, it is important to examine whether the public can be divided into distinct clusters of individuals that endorse a certain set of policies. A related question is what characteristics of the public can explain these different clusters.
- Aims of the thesis
The aim of this thesis is to analyze whether the support for a range of energy transition policies can be grouped into distinct clusters Based on an existing empirical dataset with policy support in France and Germany, the thesis will identify appropriate statistical methods and apply these methods in light of the research question The identified clusters then need to be interpreted. Further statistical analyses can be conducted to compare the clusters of individuals to each other, for example regarding differences in socio demographic characteristics In the last step, conclusions can be drawn regarding the consistency with which individuals support a range of energy policies, and what parts of the public do so.
- Requirements
Enthusiasm for energy transition topics and statistical data analysis. Experience with empirical research methods is an advantage but not mandatory.