scholarly journals Simple Rules for Climate Policy and Integrated Assessment

2018 ◽  
Vol 72 (1) ◽  
pp. 77-108 ◽  
Author(s):  
Frederick van der Ploeg ◽  
Armon Rezai
2015 ◽  
Vol 90 ◽  
pp. 45-61 ◽  
Author(s):  
Elmar Kriegler ◽  
Nils Petermann ◽  
Volker Krey ◽  
Valeria Jana Schwanitz ◽  
Gunnar Luderer ◽  
...  

2012 ◽  
Vol 03 (01) ◽  
pp. 1250004 ◽  
Author(s):  
ALEXANDER LORENZ ◽  
ELMAR KRIEGLER ◽  
HERMANN HELD ◽  
MATTHIAS G. W. SCHMIDT

We investigate the importance of explicitly accounting for uncertainty in the determination of optimal global climate policy. We demonstrate that the marginal risk premium determines the importance of adapting the optimal policy to uncertainty. Common integrated assessment models (IAM) of climate change suggest uncertainty has little effect because the marginal risk premium in these models is small. A rigorous investigation of the marginal risk premium and the marginal functional relationships within IAMs allows understanding the non-significance of (thin-tailed) uncertainty as a result of compensating factors in the climate cause-effect chain.


2013 ◽  
Vol 19 (2) ◽  
pp. 85-98 ◽  
Author(s):  
Carlo Carraro ◽  
Enrica De Cian ◽  
Massimo Tavoni

2020 ◽  
Author(s):  
Claudia Wieners ◽  
Francesco Lamperti ◽  
Andrea Roventini ◽  
Roberto Buizza

<p>Integrated Assessment Models are a key tool to search and evaluate climate policies - i.e. a set of measures best suited to avoid the worst of climate change without “harming the economy” too much. <br>Climate action µ(t) is typically portrayed as coming at a cost (relative to a no-policy case) C(µ), where C is a positive, monotonously increasing function. <br>However, this representation ignores economic dynamics. For instance, it assumes that CO2 abatement costs today are independent from efforts done last year, whereas in reality, previous investments in infrastructure or knowledge will have effects on abatement and abatement costs in the future. More generally speaking, the economy is a complex system of interacting players, capable of path-dependent behaviour, multiple equilibria or out-of-equilibrium dynamics, and transitions between states, and climate policy measures (or climate impacts) targeting some actors can affect the whole system. </p><p>Agent-based modelling has in recent years emerged as a tool to break the constraints imposed by generalised equilibrium models underlying most IAMs. Agent-based models directly simulate the activities of diverse interacting agents, rather than making assumptions of the aggregate behaviour of groups of agents. </p><p>Here, we present an agent-based Integrating Assessment Model, the Dystopian Schumpter-Keynes (DSK) model. It contains an industrial sector with interacting machine and consumption good firms, a banking sector, a government, and an electricity supplier, coupled to a climate module. The model has been used, among other things, to investigate how different types of climate impacts propagate through the economy. In this presentation, we focus on climate policy. In particular, we investigate<br>1.  which policy tools, or combination of tools, are effective at bringing about a sufficiently rapid decarbonisation. Is a uniform carbon tax really sufficient to cause a green transition? <br>2.  what will be the side effects on the economy. Will there be ongoing strain on the economy, or will costs be transitional - potentially even with long-term benefits? </p>


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