{
  "title": "Virtual : Macro-relevant Environment and Climate Change Statistics - Introductory Level",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2023/cmeccat23-37v",
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  "summary": "Back to top Qualifications Participants are expected to have a degree in economics or statistics.",
  "publishDate": "2024-05-15",
  "sections": [
    {
      "heading": "Event overview and logistics",
      "content": "- Session No.: AT 23.37 V\n- Location: Ebene, Mauritius\n- Date: October 2-6, 2023 (1 week)\n- Delivery Method: Virtual Training\n- Deadline status: Deadline passed\n- Primary Language: English\n- Interpretation Language: French Portuguese\n- Organized by: IMF Statistics Department"
    },
    {
      "heading": "Target audience and qualifications",
      "content": "- Target Audience:\n  - Officials from National Statistics Agencies, Ministries of Finance, Planning and Environment, Central Banks, and other agencies, who are responsible for compiling and/or using environment or climate change related indicators.\n- Qualifications:\n  - Participants are expected to have a degree in economics or statistics."
    },
    {
      "heading": "Course format and duration",
      "content": "- Five-day virtual course delivered as three-hour daily sessions.\n- Consists of a series of lectures giving overview of methods for compiling climate change-related indicators and insights into analytical uses."
    },
    {
      "heading": "Topics and statistical coverage",
      "content": "- Environmental revenues and expenditures\n- Natural Resource Accounts\n- Physical and Transition risk indicators\n- Air Emission Accounts\n- Indicators of Sustainable Finance"
    },
    {
      "heading": "Course objectives (learning outcomes)",
      "content": "- Provide an overview of the type of indicators that can be used to help understand the economic and financial implications of climate change.\n- Identify data sources, compilation methods and uses of key climate indicators."
    }
  ],
  "bullets": [
    "Session No.: AT 23.37 V",
    "Location: Ebene, Mauritius",
    "Date: October 2-6, 2023 (1 week)",
    "Delivery Method: Virtual Training",
    "Deadline status: Deadline passed",
    "Primary Language: English",
    "Interpretation Language: French Portuguese",
    "Organized by: IMF Statistics Department",
    "Target Audience:",
    "Qualifications:",
    "Five-day virtual course delivered as three-hour daily sessions.",
    "Consists of a series of lectures giving overview of methods for compiling climate change-related indicators and insights into analytical uses.",
    "Environmental revenues and expenditures",
    "Natural Resource Accounts",
    "Physical and Transition risk indicators",
    "Air Emission Accounts",
    "Indicators of Sustainable Finance",
    "Provide an overview of the type of indicators that can be used to help understand the economic and financial implications of climate change.",
    "Identify data sources, compilation methods and uses of key climate indicators."
  ],
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  "generatedAtUtc": "2026-09-29T16:47:43.778Z"
}