

You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Scenario analysis report with policy recommendations: An assessment of sustainability, resilience, efficiency and fairness and effective chain relationships in VALUMICS case studies
The functioning of food value chains entails a complex organisation from farm to fork which is characterised by various governance forms and externalities which have shaped the overall food system. VALUMICS food value chain case studies: wheat to bread, dairy cows to milk, beef cattle to steak, farmed salmon to fillets and tomato to processed tomato were selected to enable explorative and empirical analysis to better understand the functioning of the food system and, to identify the main challenges that need to be addressed to improve sustainability, integrity, resilience, and fairness of European food chains. The VALUMICS system analysis was executed through four operational phases starting with Groundwork & analysis including mapping specific attributes and impacts of food value chains and their externalities. This was followed by Case study baseline analysis, which provided input to the third phase on Modelling and exploration of future scenarios and finally Policy and synthesis of the overall work. This report is an overall synthesis of the VALUMICS results as follows: • Key findings from the VALUMICS project on the functioning of European food value chains and their impacts on more sustainable, resilient, fairer, and transparent food system are summarised through a compilation of 25 Research Findings and Policy Briefs. • By highlighting the major contributions from the research activities throughout the four phases of the VALUMICS project, this report delivers an assessment of various factors influencing sustainability, resilience, efficiency and fairness and effective chain relationships of different food value chains, and their determinants. • The synthesis of the outcome allows the identification of opportunities and challenges characterising the functioning of food supply chains, and thus, the prospects and potentials for strengthening the EU food sector.
Citation: Olafsdottir, G., Bogason, S., Aubert, P.M., Barling, D., Thakur, M., Duric, I., Nicolau, M., McGarraghy, S., Sigurdardottir; H., Samoggia, A., Holden N.M., Čechura, L., Jaghdani, T.J., Svanidze, M., Esposito., G., Monticone, F., Fedato, C., Xhelili, A., Huber, E., Hargaden, V., Saviolidis, N M., Gorton, M., Hubbard, C., Kahiluoto, H., Hoang, V.(2021). Scenario analysis report with policy recommendations: An assessment of sustainability, resilience, efficiency and fairness and effective chain relationships in VALUMICS case studies. The VALUMICS project funded by EU Horizon 2020 G.A. No 727243. Deliverable: D8.4, University of Iceland, Reykjavík, 130 pages DOI:10.5281/zenodo.6534011
- University College Dublin Ireland
- University of Iceland Iceland
- Collaborating Centre on Sustainable Consumption and Production Germany
- Lappeenranta-Lahti University of Technology LUT Finland
- University of Hertfordshire United Kingdom
Integrity, Fairness, Material flow analysis, Modelling, Market power, Life cycle assessment, Food value chains, Future scenarios, Governance, Resilience, Economic analysis, Policy, Sustainability, Transition, Price transmission
Integrity, Fairness, Material flow analysis, Modelling, Market power, Life cycle assessment, Food value chains, Future scenarios, Governance, Resilience, Economic analysis, Policy, Sustainability, Transition, Price transmission
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 visibility views 18 download downloads 22 - 18views22downloads
Data source Views Downloads ZENODO 18 22


