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Navigating the Numbers: Greenhouse Gas Data and International Climate Policy COP11 December 5, 2005. Climate and Energy Program World Resources Institute. Data providers CDIAC RIVM IPCC IEA World Bank. UNDP U.S. EPA U.S. EIA UNFCCC Houghton. Acknowledgements. Funding providers
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Navigating the Numbers: Greenhouse Gas Data and International Climate Policy COP11 December 5, 2005 Climate and Energy ProgramWorld Resources Institute
Data providers CDIAC RIVM IPCC IEA World Bank UNDP U.S. EPA U.S. EIA UNFCCC Houghton Acknowledgements • Funding providers • U.S. EPA, Government of Norway, Wallace Global Fund, Prospect Hill Foundation
Data – Policy Linkage Working assumptions: • Information is the first step to solving any problem • Better information → better decisions • “Delivery system” matters • CAIT • Navigating the Numbers report
Climate Analysis Indicator Tool (CAIT) • A web-based information and analysis tool on global climate change developed by WRI. CAIT includes: • Data on all greenhouse gases (GHGs) and sources, plus other policy-relevant data and indicators • Data for 186 countries, plus regions • Analysis tools (e.g., trend, sector, or gas analysis) • Policy neutral • 4,000 + registered users
Navigating the Numbers • Objectives: • Convey wealth of GHG data in digestible form • Country-level data (Part I) • Sector-level data (Part II) • Identify policy-relevant insights from the data (Parts I and II)
Part I: Country-level data • Indicators • Absolute, per capita, intensity • Time periods • Present, past, and future trends • Emissions “Context” • Drivers: GDP, population, fuel mix, efficiency, structure, trade, fossil fuel reserves, etc. • Socio-economic context: development indicators
Part II: Sector-level data • Organize data: sector, end-use, gas
Part II: Sector-level data • Organize data: sector, end-use, gas • Identify and evaluate key sectors • Absolute, per capita; past and future trends • Sector “context” data: • Company-level production levels (e.g., iron, aluminum) • Trade flows, investment, MNC presence • GHG measurement and attribution issues • International cooperation assessed across six criteria
Policy-Relevant Implications • Global trends • Big emitters • Emission caps and developing countries • Formulaic approaches to commitments • Sectoral cooperation
Policy-Relevant Implications • Global trends • Big emitters • Emission caps and developing countries • Formulaic approaches to commitments • Sectoral cooperation
Projected Future GHG Emissions Growth % Percent change from 2000
Policy-Relevant Implications • Global trends • Big emitters • Emission caps and developing countries • Formulaic approaches to commitments • Sectoral cooperation
Top 25: GHG Emissions Population GDP
Policy-Relevant Conclusions • Global trends • Big emitters • Emission caps and developing countries • Formulaic approaches to commitments • Sectoral cooperation
Fixed targets: challenging in the context of massive uncertainty Projected CO2 Emissions Growth to 2025
Policy-Relevant Conclusions • Global trends • Big emitters • Emission caps and developing countries • Formulaic approaches to commitments • Sectoral cooperation
Historical Contributions: Major Data Constraints Cumulative CO2 Emissions, Comparison of Different Time Periods
Emissions per Capita: Consensus? GHG Emissions per Capita
Fuel mix affects CO2 emissions Electric Power Sector
Trade affects CO2 emissions CO2 “Imports”: Change in CO2 emissions if accounting is on the basis of domestic consumption
Policy-Relevant Conclusions • Global trends • Big emitters • Emission caps and developing countries • Formulaic approaches to commitments • Sectoral cooperation
International Sectoral Cooperation • Did not address different “forms” of sectoral cooperation • How important is the sector? [% global GHGs] • Underlying rationale for sectoral cooperation • Promote participation • Avoid “leakage” • Promote even regulatory playing field (competitiveness) • How conductive to international cooperation? [6 criteria] • Simple grading system: “+” “–” or no grade.
Sectoral Cooperation • “Sector-only” model is unlikely be effective • Comprehensive agreements can have: • “Carve outs” [aviation] • Special sectoral provisions [LUCF] • Complementary sectoral agreements • Analysis helps reveal: • Where to target investment, technology, and policy • Kyoto’s perceived success and failure
Conclusions • Global trends are in the wrong direction • Address GHGs in context of big emitting countries and sectors • Int’l cooperation, investment, technology • No single indicator tells a complete story • Data does not point directly toward a solution • Nature and scale of problem • Diverse national circumstances
Thank you! Kevin Baumert kbaumert@wri.org Tim Herzog therzog@wri.org Jonathan Pershing jpershing@wri.org