DATASET

BIOMONITOR - Bioeconomic shares

Collection: DATAM : Data/Modelling platform of resource economics 

Description

This dashobard is associated to the paper "A Cross-Country Measurement of the EU Bioeconomy: An Input–Output Approach" developed in the context of the BIOMONITOR project financed by Horizon 2020. The study measures the development of the national income share of the bioeconomy for 27 European Union Member States plus the UK, and 16 industries of BioMonitor scope from 2005 to 2015. The paper proposes a model which includes the up- and downstream linkages using Input-Output tables. The results show that for the majority of the MS the value added of the up- and downstream sector is at the band of 40%–50% of the total bioeconomy value added and has on average increased since the financial crisis.

Contact

Email
jrc-datam (at) ec.europa.eu

Contributors

How to cite

Cingiz, Kutay; González Hermoso, Hugo; Heijman, Wim; Wesseler, Justus H. H. (2021): BIOMONITOR - Bioeconomic shares. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/cde85443-3e27-4b52-8349-0945a733ff93

Keywords

bioeconomy biomonitor EU input-output national accounts United Kingdom

Data access

BM - Bioeconomic Shares
Download 
  • Dataset - bulk download - zip file with CSV inside

BM - Bioeconomic Shares
URL 
  • Interactive infographics

BM - Bioeconomic Shares
URL 
  • Dataset - Interactive download - CSV format

BioMonitor project
URL 
  • BioMonitor Horizon 2020 project

Publications

Publication
A Cross-Country Measurement of the EU Bioeconomy: An Input–Output Approach

Geographic areas

European Union

Temporal coverage

From date To date
2005-01-01 2015-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
2021-04-21
Modified date
2021-04-21
Issued date
2021-03-10
Landing page
https://datam.jrc.ec.europa.eu/ 
Language(s)
English
Data theme(s)
Economy and finance
Update frequency
unknown
Identifier
http://data.europa.eu/89h/cde85443-3e27-4b52-8349-0945a733ff93
Popularity