Macro-relevant Environment and Climate Change Statistics - Workshop for Managers (CCS-M)

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The workshop discusses data needs and gaps to better understand the economic and financial aspects of climate change.
Compilation of accurate and timely data, aligned with internationally agreed macroeconomic statistical standards, is presented as crucial for policymakers to formulate effective and targeted fiscal, monetary, financial, and external sector policies.
Participants explore the criticality of natural hazards and their significant impacts on the broader economy and financial system, affecting both short-term and long-term economic stability through discussions on the role of official statistics.
The workshop features a series of engaging lectures and discussion sessions that offer an overview of methodologies for compiling climate change-related indicators and insights into their analytical applications.

Overview of the type of data and indicators that can be used to help understand the economic and financial implications of climate change.
Methodological coverage aimed at compiling macro-relevant climate-change indicators and applying them analytically for policymaking.
Emphasis on aligning compilation with internationally agreed macroeconomic statistical standards.

Intended for officials from national statistics agencies, ministries of finance, planning, or environment, central banks, financial sector supervisory agencies, and other agencies responsible for compiling environment and/or climate change related statistics.
Participants are expected to have a degree in economics, statistics, or a related field and be supervising or intending to supervise work on climate-related macroeconomic statistics.

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 initiate 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.