## Compilation of Macro-relevant Environment and Climate Change

## Source details

**Canonical URL:** [Compilation of Macro-relevant Environment and Climate Change](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2023/cmeccce23-37)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ce/2023/cmeccce23-37/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ce/2023/cmeccce23-37/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ce/2023/cmeccce23-37/bundle-manifest.json)

## Bibliographic details
- Session: CE 23.37
- Location: Abu Dhabi, United Arab Emirates
- Dates: December 4-15, 2023 (2 weeks)
- Delivery method: In-person Training
- Primary language: English
- Interpretation language: Arabic
- Status: Deadline passed

---

### Target audience and qualifications
- Target audience:
  - Officials from National Statistics Agencies, Ministries of Finance, Planning and Environment, Central Banks and other agencies, who are responsible for compiling environment and/or climate change related indicators.
- Qualifications:
  - Participants are expected to have a degree in economics or statistics; with experience in the compilation of environment and climate change statistics.

### Event logistics and delivery
- Session No.: CE 23.37
- Location: Abu Dhabi, United Arab Emirates
- Date: December 4-15, 2023 (2 weeks)
- Delivery Method: In-person Training
- Primary Language: English
- Interpretation Language: Arabic

### Course description and format
- Provided by the IMF Statistics Department as an in-person, two-week course.
- Purpose:
  - Familiarize participants with sources and methods to develop macroeconomic relevant climate change-related indicators that can inform economic and financial policies.
- Format:
  - Series of lectures, workshops, and plenary discussions on country practices describing methods for compiling environmental and climate change statistics, including data sources.
  - Opportunities for participants to discuss compilation challenges and gain insights into analytical uses of the statistics.

### Topics and statistics covered
- Environmental revenues and expenditures
- Natural Resource Accounts
- Physical and Transition risk indicators
- Air Emission Accounts
- Sustainable Finance indicators
- Coverage includes:
  - Environmental accounting concepts
  - Assessment of global/open-source datasets for compilation
  - Different approaches and methodologies used to estimate the indicators

### Course objectives (learning outcomes)
Upon completion of the course, participants should be able to:
- provide an overview of the concepts and classifications used in environmental accounting.
- provide an overview of the data and type of indicators that can be used to help understand the economic and financial implications of climate change;
- identify data sources and understand the compilation methods of key macroeconomic relevant environmental and climate change statistics; and
- identify the ways in which these indicators can be used to develop economic policies aimed to mitigate and/or adapt to climate change.

---


## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)
- [Macroeconomic Management in Resource Rich Countries (MRC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/mrcce26-44)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2023/cmeccce23-37_
