Post-doc Position
il y a 2 semaines
Economists have studied the possibility of de-linking economic activity from energy and material use for years. Yet, we’ve failed to achieved this so far. Recently, the circular economy has achieved an increasing attention as policy that can help achieve this goal. It relies on recovering materials from old products and re-using them as inputs for production for as long as possible. However, existing economic models adopt a linear view on consumption-production, where input use is optimized to maximize the GDP growth. This approach does not capture feedback loops involved in the processes of reuse, repair and recycling of products as well as it ignores behavioral changes necessary to make a transition to the circular economy possible. As a result, we lack models, which would allow us to assess long-term consequences of the circular economy.
The aim of this project is to propose agent-based models to study the economy-wide effects of the circular economy and climate-related financial risks. Formally, we will extend agent-based models by input-output analysis. Agent-based technique (ABM) allows modelling many heterogeneous, boundedly-rational agents interact with each other. Instead of relying on aggregate equations, such models examine macro phenomena emerging from interactions of boundedly rational agents within networks. They have proved capable of explaining core economic phenomena like economic growth, technological change, and business cycles. In the project, special attention will be paid to whether the circular economy can mitigate climate-related financial risks.
**Requirements**:
- Strong programming skills
- Fluent English
- Ability to publish in international journals
- Experience in agent-based modeling
**List of documents required**:
1. Recent CV including employment history, scholarships, research projects and a list of publications
2. A motivation letter
3. A contact detail of the referee
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