Projects appearing in multiple data sources are removed from the data source containing the least information (e.g., on the identity of the financing institution or on the location of the project) and identified via fuzzy-matching of project names. [...] Projects appearing in multiple data sources are removed from the data source containing the least information (e.g., on the identity of the financing institution or on the location of the project) and identified via fuzzy-matching of project names. [...] 4.2.3.1 Linking the financial system with the real economy: The money behind investment in climate solutions and high-emission assets The financial sector has a pivotal role to play in achieving the climate change mitigation objectives of the Paris Agreement and the transition to net zero GHG emissions. [...] 3 The coverage of the aggregation method selected is displayed at the top right corner of each of the graphs in the “Aggregate Data” section of the dashboard, and is calculated as the share of institutions for which this information was made available in the last year tracked over the total number of institutions tracked in that same year. [...] With regards to the latter, when possible, we tried to identify either their fund entity name or the name of the trustee of these corporates (i.e., the entity that is in charge of managing the retirement savings of the original firm’s employees -e.g., “Shell Pension Trust Limited” is the trustee of “Shell UK”) and discarded those companies for which this was not possible (as information on the net.
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- 39
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- United States of America
