An updated version of GCF Working Paper 2 / 2017 “Framing 1.5°C – Turning an investment challenge into a green growth opportunity” that reflects the current IPCC Special Report on 1.5°C is now published on SSRN under:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3324509
In the Global System Science (GSS) field simulations of Agent Based Models (ABM) can be challenging regarding the needed computer resources, so that it’s necessary to run the simulation on computer clusters. The existing HPC ready ABM frameworks does not fit well to the structure of GSS models. This paper proposes a parallelization strategy that take GSS needs into consideration and tries to find a good balance between the needs of the modeler and restrictions that enables a good scalability. It represent the model structure as a directed multi-graph, where spatial information is added as nodes. Existing hypergraph partitioning software can then be used the distribute the agents to the different processing elements.
The paper can be downloaded here: GCF_WorkingPaper3-2018
The complexity of sustainability transitions calls for transdisciplinary dialogue processes among dierent stakeholder groups. When policy options are discussed with decision-makers, scientists often support them with the help of quantitative outputs provided by simulation models. With the increasing complexity of models in times of big data and high-performance computing, making the model and its parameters transparent and integrating them into stakeholder dialogues is essential for successful and democratic decision-making processes. Furthermore, such integration allows for the discussion of a broader variety of pathways or scenarios supplied by models. Read more
Green growth holds the promise that solving environmental problems can at the same time create economic benefits. Yet, until now there is little analytically sound work on the possibility of such a dynamics. In this paper, we investigate conditions under which a transition from brown growth to green growth can improve the economic situation, both in the present and in the future. In our model, we combine three well-documented phenomena: the fact that a major aspect of technical change is learning by doing, the fact that learning by doing can develop in different directions, and the indeterminacy of labour markets resulting from the difficulty of matching the skills of people with the tasks arising in firms. The combination provides new insights for the discussion about the possibilities of green growth.
The paper can be downloaded here: GCF_WorkingPaper1-2018
GCF presented work on the diffusion of electric mobility in a green growth context at the Electric Vehicle Symposium in Stuttgart in October 2017. This working paper is a follow-up version of the paper prepared for this conference.
The paper can be downloaded here: GCF_WorkingPaper3-2017
*This is a slightly amended version of GCF Working Paper 2/2017.
Our new working paper wants to contribute to the special report on the impacts of average global warming of 1.5°C above pre-industrial levels that the Intergovernmental Panel on Climate Change (IPCC) will produce in 2018. In contrast to a classical perspective on climate policy, which focuses on costs, our paper proposes a win-win framing: The 1:5C scenario should be seen as an opportunity for the world to achieve a Great Transition to green growth. Read more
The goal to keep global warming well below 2°C can only be achieved if private investors shift capital from brown to green infrastructures and technologies. In this working paper, we present a game-theoretic perspective on the transition from brown to green growth. We perceive investment for mitigation as a coordination problem of selecting among multiple equilibria. We discuss how uncertainty in such a “green investment game” could be reduced in order to coordinate actors on the Pareto-superior equilibrium. Read more
by Gesine A. Steudle, Saini Yang, Carlo C. Jaeger
by Jahel Mielke, Hannah Vermaßen, Saskia Ellenbeck
by Sarah Wolf, Franziska Schütze, Carlo C. Jaeger