A qualitative-computational cataloguing of the EU-level public research and innovation portfolio of clean energy technologies (2014–2020)


Article Abstract To better allocate funds in the new EU research framework programme Horizon Europe, an assessment of current and past efforts is crucial. In this paper we develop and apply a multi-method qualitative and computational approach to provide a catalogue of climate crisis mitigation technologies on the EU level between 2014 and 2020. Using the approach, we observed no public EU-level funding for multiple technologies prioritised by the EU, such as low-carbon production and use of cement and chemicals, electric battery, and a number of industrial decarbonisation processes. We observed a rising trend in the funding of solar power and onshore wind, the adjacent to them power-to-X technology, as well as recycling. At the same time, the shares of funding into fuel cell, biofuel, demand-side energy management, microgrids, and waste management show a decline trend. With note of the exploratory character of the present paper, we propose that the EU Horizon 2020 funding of clean technologies only partially reflected the expectations of key institutionalised EU actors due to the existence of many non-funded prioritised technologies.

NOTE: Please mind that this repository is a mirror of the original Github repository: github.com/MaastrichtU-IDS/clean-technologies-nlp

Dataset Description The description and details of the methodology including the computational framework and data analysis together with the data and file usage is described in the original Github repository: Data Analysis Description

NOTE: Please mind that this repository only contains the resulting dataset that the article refers to additionally to its codebook. The analysis and all the data processing methods are in the original Github repository at: github.com/MaastrichtU-IDS/clean-technologies-nlp

DOI https://doi.org/10.34894/Q80QUE
Related Identifier https://doi.org/10.1016/j.crsust.2021.100084
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/Q80QUE
Creator Koretsky, Zahar ORCID logo; Hernández Serrano, Pedro ORCID logo; Adekunle, Seun; Dumontier, Michel ORCID logo
Publisher DataverseNL
Contributor Hernández Serrano, Pedro
Publication Year 2022
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Hernández Serrano, Pedro (Maastricht University)
Resource Type Policy Annotations; Dataset
Format text/csv; application/x-ipynb+json; application/octet-stream; application/vnd.ms-excel
Size 4074803; 38711; 7370452; 13824
Version 2.1
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Geosciences; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences