Training Program

Compiling Climate Change Indicators - An Accounting Approach (ICCI)
Apply online by February 22, 2026 Deadline extended
Session No.: SA 26.19
Location: New Delhi, India
Date: April 6-10, 2026 (1 week) New dates
Delivery Method: In-person Training
Primary Language: English
Apply NowTarget Audience
Officials from national statistics agencies, ministries of finance, planning, or environment, central banks, financial sector supervisory agencies, and other agencies that are responsible for compiling environment and/or climate change related statistics.
Qualifications
Participants are expected to have a degree in economics, statistics, or a related field; compiling or supervising work on climate related macroeconomic statistics.
Course Description
The focus of the course is on better understanding the relationship between climate change and economic activity. The statistical framework that provides the concepts, definitions, and methodology for measuring this relationship is the System of Environmental Economic Accounting. Participants will learn about physical supply and use tables for energy and air emissions, and indicators that can be compiled from these accounts. Participants will also explore the criticality of natural hazards, which significantly impact the broader economy and financial system, affecting both short-term and long-term economic stability through discussions on the role of official statistics.
Course Objectives
Upon completion of the course, participants should be able to:
- Provide an overview of the type of data and indicators that can be used to help understand the economic and financial implications of climate change.
- Provide a broad understanding of what an environment and climate change statistics program encompasses and how to develop a national program and close macro-critical data gaps.
- Identify data sources, compilation methods, and uses of key macro-relevant climate-change indicators for effective climate-related policies.
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Local Currency Bond Market Development (LCBM)
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