Published September 20, 2024 | Version v1
Dataset Open

CB-PASTAX (tilt) SME Climate Database

Description

This data publication contains SME climate data for more than 200,000 firms across Germany, Austria, Netherlands, France, and Spain. The methodology and software behind the data were developed under the project CB-PASTAX within the programme tilt. The data are created using webscraped company-data and links them on product-level to climate databases such as Life-Cycle-Assessment (LCA) data and climate scenario data to derive three climate indicators (relative emission indicator, sector decarbonisation indicator, transition risk indicator) on product- and company-level. The data can be used to analyse the climate profile of SMEs across various regions and sectors. This version published on Zenodo contains an anonymised dataset, which means that the company names as well as the original product names are faked. The sector classification as well as the data we match from climate databases still gives an indication of the products. Real company and product names can be requested. 

For more information on the methodology behind the data and on how to use them, please refer to the project website with a link to the online portal where you will find extensive documentation: https://www.tiltsmes.org/tilt-under-the-cb-pastax-grant. The code developed to create the data is published open source on GitHub. You can find an overview here: https://2degreesinvesting.github.io/tilt/.

This project is co-funded by the European Union under Grant No. LIFE20 GIC/DE/001765, recognised under the CB-PASTAX programme. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the granting authority can be held responsible for them.

Files

CB-PASTAX-tilt-SME-climate-data-COMPANY-LEVEL_10.5281zenodo.13836429.zip

Files (85.4 MB)

Additional details

Software

Repository URL
https://2degreesinvesting.github.io/tilt/
Programming language
R