Assessment of the Effectiveness of Global Climate Policies Using Coupled Bottom-up and Top-down Models

Maryse Labriet, Laurent Drouet, Marc Vielle, Richard Loulou, Amit Kanudia and Alain Haurie
Additional contact information
Maryse Labriet: Eneris Environment Energy Consultants, Spain
Richard Loulou: Kanlo Consultants Sàrl, France
Amit Kanudia: Kanors Consultants, India
Alain Haurie: Ordecsys, Switzerland

No 2015.23, Working Papers from Fondazione Eni Enrico Mattei

Abstract: In order to assess climate mitigation agreements, we propose an iterative procedure linking TIAM-WORLD, a global technology-rich optimization model, and GEMINI-E3, a global general equilibrium model. The coupling methodology combines the precise representation of energy and technology choices with a coherent representation of the macro-economic impacts, especially in terms of trade effects of climate policies on energy-intensive products. In climate mitigation scenarios, drastic technology breakthroughs are required as soon as possible, especially in large emitting countries, and in all sectors of the economy. Energy-intensive industries tend to be delocalized in regions where low-carbon production is feasible and cheap, or in regions without emission cap. However, emission leakage remains small, mainly due to global lower oil demand, and energy exporting countries are extremely penalized given lower energy exports. Emission reduction at least in the power sector and in energy-intensive industries of developing countries must be considered to reach the 2°C target.

Keywords: Climate Policies; Energy; Techno-economic modelling; Macro-economic Modelling; World (search for similar items in EconPapers)
JEL-codes: Q5 Q54 Q58 (search for similar items in EconPapers)
Date: 2015-03
New Economics Papers: this item is included in nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Working Paper: Assessment of the Effectiveness of Global Climate Policies Using Coupled Bottom-up and Top-down Models (2015)
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