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Publisher DOI: 10.5281/zenodo.17250834
Title: EU taxonomy eligibility and alignment dataset for non-financial European companies (2023)
Language: English
Authors: Nita (Danila), Andreea Corina 
Nastase, Carmen 
Prelipcean, Gabriela 
Kajanus, Miika 
Leal Filho, Walter  
Keywords: EU Taxonomy; ESG Reporting; Turnover/CapEx/OpEx; Sustainable finance; Environmental sustainability
Issue Date: 2-Oct-2025
Publisher: zenodo.org
Journal or Series Name: Zenodo : research shared 
Abstract: 
This dataset contains structured information on the eligibility and alignment of economic activities reported by European companies under the EU Taxonomy framework. It includes financial Key Performance Indicators (KPIs) such as Turnover, Capital Expenditure (CapEx), and Operational Expenditure (OpEx) aligned with specific EU Taxonomy activity codes and environmental objectives.

This dataset was created to assess the level of eligibility and alignment of economic activities reported under the EU Taxonomy regulation for the financial year 2023. A representative sample of 399 companies was selected from a larger population (n=1976) using the R statistical software, ensuring proportional coverage across countries and industries based on revenue data from Thomson Reuters EIKON.

EU Taxonomy disclosures were extracted from annual or sustainability reports published by the selected companies. Data collection followed a semi-automated process using GPT-4o, where PDF pages containing Taxonomy tables were isolated and processed with a custom prompt to extract relevant indicators (Turnover, CapEx, OpEx), activity codes, and alignment levels. Additional fields such as sector, objective, and country were added to facilitate comparative analysis. The final dataset is structured and quality-checked for consistency and completeness.

It allows for cross-country and cross-sector benchmarking, and supports empirical research in sustainable finance, ESG reporting, and environmental policy.
URI: https://hdl.handle.net/20.500.12738/19211
Review status: Currently there is no review planned for this version
Institute: Forschungs- und Transferzentrum Nachhaltigkeit und Klimafolgenmanagement 
Competence Center Gesundheit 
Fakultät Gesundheit 
Type: Dataset
Appears in Collections:Research data (metadata only)

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