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REINVENT Decarbonisation Innovations Database [Data set]

Research datakeyboard_double_arrow_right Dataset 07 Jun 2018 English Publisher:ZenodoFunded by:EC | REINVENT

Authors: Teis Hansen; Monica Keaney; Harriet A. Bulkeley; Mark Cooper; Helena Mölter; Hjalti Nielsen; Katja Pietzner; +7 Authors

doi: 10.5281/zenodo.3529696 , 10.5281/zenodo.1284944 , 10.5281/zenodo.1284945 , 10.5281/zenodo.3403739

REINVENT Decarbonisation Innovations Database [Data set]

- Summary
- Subjects
- Metrics

Abstract

This database includes more than 100 decarbonisation innovations in Paper, Plastic, Steel and Meat & Dairy sectors, across their value chains, as well as in Finance. For each innovation there is a description, information about its contribution to decarbonisation, actors and collaborators involved, sources of funding, drivers, (co)benefits and disadvantages. More information on the method for selecting innovations for the database is available here. The database was created as part of REINVENT – a Horizon 2020 research project funded by the European Commission (grant agreement 730053). REINVENT involves five research institutions from four countries: Lund University (Sweden), Durham University (United Kingdom), Wuppertal Institute (Germany), PBL Netherlands Environmental Assessment Agency (the Netherlands) and Utrecht University (the Netherlands). More information can be found on our website: www.reinvent-project.eu.

Related Organizations

Lund University
Sweden
Utrecht University
Netherlands
Durham University
United Kingdom
Wuppertal Institute for Climate, Environment and Energy
Germany

Keywords

innovations, meat & dairy, plastic, paper, finance, decarbonisation, steel, sustainability, meat & dairy

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average