Economic models and frameworks to guide climate policy

被引:0
作者
Hepburn, Cameron [1 ,2 ]
Ives, Matthew C. [1 ,2 ]
Loni, Sam [1 ,2 ,3 ]
Mealy, Penny [1 ,2 ,4 ,5 ]
Barbrook-Johnson, Pete [1 ]
Farmer, J. Doyne [1 ,2 ,5 ,6 ]
Stern, Nicholas [7 ,8 ]
Stiglitz, Joseph [9 ]
机构
[1] Univ Oxford, Inst New Econ Thinking, Oxford, England
[2] Univ Oxford, Smith Sch Enterprise & Environm, Oxford, England
[3] London Sch Econ & Polit Sci, Grantham Res Inst, London, England
[4] Monash Univ, Monash Business Sch, SoDa Labs, Clayton, Vic, Australia
[5] Santa Fe Inst, Santa Fe, NM USA
[6] Macrocosm Inc, Brooklyn, NY USA
[7] London Sch Econ, Econ & Govt, London, England
[8] London Sch Econ, Grantham Res Inst Climate Change & Environm, London, England
[9] Columbia Univ, New York, NY USA
关键词
climate; economy; integrated assessment models; carbon price; carbon tax; finance ministry; climate policy; ENERGY; COST; ENVIRONMENT; TECHNOLOGY; POINTS; EQUITY; IMPACT; ETHICS;
D O I
10.1093/oxrep/graf020
中图分类号
F [经济];
学科分类号
02 ;
摘要
Reaching net-zero emissions will involve a structural transformation of the global economy. The transition is complicated by deep uncertainty about the new economic configurations that will emerge, coordination challenges, and non-linear dynamics amidst shifting political winds, where nation states are actively intervening to gain comparative advantage in key technologies. Here, we consider key economic questions about the net-zero transition that are of interest to finance ministries, based on a recent survey. Specifically, this paper asks: 'What is the most effective way economic models and frameworks can help guide policy, given the complexity and uncertainty involved?' We suggest five general criteria that models and frameworks should meet, and provide some guidance on how to select the right model for the question at hand-there is no single model to rule them all. A range of examples are offered to illustrate how models can be used and abused in the provision of economic advice to policy-makers. We conclude by noting that there are several gaps in our collective modelling capability that remain to be addressed.
引用
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页数:37
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