Delivering on the European Green Deal A Private Sector Perspective 2025

Page 31 of 40 · WEF_Delivering_on_the_European_Green_Deal_A_Private_Sector_Perspective_2025.pdf

Appendices Details of data sources This report is based on combined primary and secondary research. Primary data sources are: 1. Analysis of ESG Book data on environmental targets and performance of publicly listed European companies. Data is broken down into six types of samples described later in the appendix and subject to additional processing. The source is annotated as “World Economic Forum and Accenture analysis of ESG Book data”. 2. World Economic Forum and Accenture survey of cross-sectoral group of the World Economic Forum member companies in Europe, public and private, conducted between 31 July 2024 and 23 September 2024; sent to 256 companies and answered by 33. The source is annotated as “World Economic Forum and Accenture survey of companies”. 3. Interviews with four executives of the CEO Action Group for the European Green Deal, three interviews conducted virtually and one in writing. The source is annotated as: “World Economic Forum and Accenture interviews with the CEO Action Group executives”. 4. Two workshops for the executives of the CEO Action Group for the European Green Deal and public sector officials conducted in 2024. Source is annotated as: “World Economic Forum and Accenture workshops with the CEO Action Group”. 5. Meeting of the chief executive officers of the CEO Action Group for the European Green Deal during the Sustainable Development Impact Meeting in October 2024. Source is annotated as: “Vision Europe 2030: Green, Competitive and Growing – SDIM Session Summary”. 6. Analysis of ESG Book emission data and SBTi targets for publicly listed European companies from the manufacturing sector. The source is annotated as “World Economic Forum and Accenture analysis of ESG Book and SBTi data”. 7. Analysis of S&P Global Market Intelligence data on cost of borrowing of publicly listed European companies. Company data is mapped to Time’s list of 500 Most Sustainable Companies in 2024 and broken down into two groups: 178 companies included in the list and 1,047 companies not included in the list. Sample description is included later in the appendix. Data is annotated as “World Economic Forum and Accenture analysis of cost of borrowing”. Secondary research covers analyses of publicly available reports, articles, blogs, press releases, data sets etc. Artificial Intelligence (AI) was used to support the secondary research, mainly for screening of reports and data sets. Industry classification used in the report is based on Standard Industry Classification (SIC) codes. Industry sectors are defined based on top level of SIC code category (first two digits). Industry subsectors are defined based on the full SIC code category (four digits). Data processing ESG Book 1. Raw ESG data was sourced from ESG Book on 16 September 2024. 2. Quantitative data (emissions, energy, waste and water samples) was checked for completeness and presence of outliers (defined as values deviating from the mean by more than two standard deviations). 3. Data with a maximum of two missing values and/or outliers for a single parameter in the 2019-2023 period was selected for further processing. The rest of the data was discarded. 4. Missing values and outliers were replaced with linear regression of data from the remaining years, for which data was complete. 5. In the case of negative regression values for a single parameter in the 2019-2023 period, data was discarded. 6. In the case of an annual change exceeding 10 times the base year, the data was discarded. SBTi and ESG Book data for emission forecast 1. In addition to ESG Book emission data, SBTi data on targets was sourced on 18 March 2024. 2. For each analysed company, a forecast of emissions between 2023 and 2050 was prepared as linear regression of 2029-2023 ESG Book data after processing. Aggregated forecast for all analysed companies is a sum of individual regressions. Delivering on the European Green Deal: A Private Sector Perspective 31
Ask AI what this page says about a topic: