1 / 16

TETRIS

TETRIS. Work Package 6 – Quantitative Analysis of International Emissions Trading. Christoph Böhringer, Ulf Moslener, and Niels Anger. TETRIS Final Conference, Brussels, November 30, 2006. Objectives.

Download Presentation

TETRIS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. TETRIS Work Package 6 – Quantitative Analysisof International Emissions Trading Christoph Böhringer, Ulf Moslener, and Niels Anger TETRIS Final Conference, Brussels, November 30, 2006

  2. Objectives • Develop macroeconomic model (computable general equilibrium – CGE) of international trade and energy use featuring the EU ETS in 2010 • Integrate project-based JI and CDM within top-down CGE framework accounting for • Transaction costs • CDM-specific investment risks • Technology transfer • Quantitative assessment of economic and emission impacts triggered by climate policies Workpackage leader: • ZEW • Ecoplan • CCAP • ECN • NTE Workpackage participants:

  3. Model inputs • GTAP 6 database, EU and DOE energy projections to 2010 • EU-27 allowance allocation: NAP II • Project-based CDM cost and potential (work package 2 and 3) • Project-based transaction costs (work package 3) • Premium on CER price • Upward shift of CDM supply curve • Composite investment risk indicator (work package 1) • Risk premium on CER price • Upward shift of CDM supply curve: risk lowers expected return of CDM projects

  4. Implementation of bottom-up CDM supply function (including transaction costs and risk) Key: MAC – marginal abatement cost, TC – transaction costs, R – investment risk

  5. General Equilibrium Model: PACE PACE (Policy Assessment based on Computable Equilibrium): • Multi-sector, multi-region model of the global economy • Incorporation of market interactions and income closures • Calibration of technologies and preferences based on empirical data

  6. Model regions

  7. Climate policy scenarios Central scenario dimensions: Key: ET – emissions trading, TC – transaction costs, R – investment risk Additional scenario dimensions: • No Hot Air (No „Hot Air“ supply from FSU) • Additionality (Restricted CDM projects) • Supplementarity (Limit on CER imports) Permit supply and demand restrictions:

  8. International CO2 permit price (US$/t CO2) Key: HA – hot air, Add – additionality

  9. Sensitivity analysis for CO2 permit price Illustration: Scenario ET_CDM_TC_R withouthot air  CO2price = 0.98 US$/tCO2) max=1.44 90% quantile = 1.32 US$/tCO2 Technique: Monte-Carlo simulations on key elasticities Mean = 1.054 Median = 0.98 10% quantile = 0.89 US$/tCO2 min=0.83

  10. Emission reduction of EU-27 (% vs. BAU) Key: HA – hot air, Add – additionality, Supp – supplementarity

  11. Welfare loss for EU-27 (% change in equivalent variation) Key: HA – hot air, Add – additionality, Supp – supplementarity

  12. Implementation of projects • Implementation of CDM projects based on numerical simulation results • Procedure (linkage of model and CDM database): • Simulation of CO2permit prices for alternative policy scenarios • Derivation of marginal abatement cost levels on the project-based CDM supply curves (CDM database) • Identification of implemented projects (number / volume) within the CDM database

  13. Implemented CDM projects (volume share by region) No CDM restriction Additionality CDM Potential

  14. Conclusions (1) • Low permit price and small macroeconomic impacts due to large potentials of cheap CDM permit supply • Given prices for CER futures: Hidden costs of CDM investments? • Transaction costs and investment risk increase permit price, but limited impact on the macroeconomy based on underlying CDM data • Large impact of Additionality criterion, Supplementarity rule and restriction of “Hot-Air” on permit price and adjustment costs

  15. Conclusions (2) • China, Central+South America and Rest of East South Asia as dominant CDM host regions. Sectoral distribution dominated by Electricity, Agricultural Products and Public Sector • Additionality criterion decreases number volume and distribution of CDM projects significantly  exclusion of “No-Regret” options • Transaction costs and investment risk deter implementing CDM projects, and change project portfolio in favor of “large-scale” options

  16. TETRIS Work package 6 – Quantitative Analysisof International Emissions Trading Christoph Böhringer, Ulf Moslener and Niels Anger TETRIS Final Conference, Brussels, November 30, 2006

More Related