The present paper is a review of the empirical studies on consumer acceptance of novel protein sources in Italy. The authors uncovered the most recent scientific contributions regarding novel plant-based...
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This report represents a second step in structuring existing knowledge about agroecology as farming and food system in support of the EC Knowledge Centre on Food and Nutrition Security (https://ec.europa.eu/knowledge4policy/global-food-nutrition-security_en)...
Environmental assessment methods have increasingly been adopted to support local transitions toward sustainable urban development and Agenda 2030 implementation at the city level. However...
Non-Wood Forest Products (NWFPs) provide social and cultural services related to e.g., the tradition and social role of collecting berries, mushrooms and herbs. These services can...
Meat production and consumption is associated with the generation of significant environmental pressure and impacts, and resource inefficiencies. This study combines Material Flow Analysis (MFA) and Life cycle Assess-ment...
Case studies on Smart Specialisation - Case studies collection from the programming period 2014-2020
This report comprises 10 case study reports at regional and national on the implementation of the Smart Specialisation policy across 4 EU countries. This analytical work seeks to provide...
Based on a holistic case studies analysis of 8 efficient district heating and cooling (DHC) systems in different EU Member States (Denmark, France, Germany, Italy...
The adoption, implementation and enforcement of Chapter 27 of the EU acquis on Environment is an obligation for accessing countries. Reducing the emissions of air pollutants and greenhouse gases (GHG) is a priority which...
This study proposes a novel method to assess the overall economic effects of agricultural droughts using a coupled agronomic-economic approach that accounts for the direct and indirect impacts of this hazard in the economy...
Statistical, data-driven methods are considered good alternatives to process-based models for the sub-national monitoring of cereal crop yields since they can flexibly handle large datasets...