{
  "title": "Macro-relevant Environment and Climate Change Statistics",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2026/ccs-ist26-08",
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  "summary": "Back to top Qualifications Participants are expected to have a degree in economics or statistics.",
  "publishDate": "2025-09-09",
  "sections": [
    {
      "heading": "Training Program Overview",
      "content": "- Session No.: ST 26.08\n- Location: Singapore, Singapore\n- Date: March 2-6, 2026 (1 week)\n- Delivery Method: In-person Training\n- Primary Language: English\n- Organized by: Statistics Department"
    },
    {
      "heading": "Target Audience and Qualifications",
      "content": "- Target Audience:\n  - Officials from national statistics agencies\n  - Officials from ministries of finance, planning and environment\n  - Officials from central banks\n  - Officials from other agencies 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 Description",
      "content": "- Format:\n  - Five-day course consisting of a series of lectures\n  - Lectures provide an overview of methods for compiling climate change-related indicators and insights into their analytical uses\n- Statistics covered:\n  - 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",
      "content": "- Upon completion of the course, participants should be able to:\n  - 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."
    }
  ],
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    "Session No.: ST 26.08",
    "Location: Singapore, Singapore",
    "Date: March 2-6, 2026 (1 week)",
    "Delivery Method: In-person Training",
    "Primary Language: English",
    "Organized by: Statistics Department",
    "Target Audience:",
    "Qualifications:",
    "Format:",
    "Statistics covered:",
    "Upon completion of the course, participants should be able to:"
  ],
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  "generatedAtUtc": "2026-09-29T20:46:49.869Z"
}