Behavioural, Ecological and Socio-economic Tools for Modelling Agricultural Policy
Implementation period: 01/09/2019 - 31/08/2023
GA number: 817501
Type of Project: Horizon 2020
Internet presentation: www.bestmap.eu
Project aim: BESTMAP will develop a new modelling framework using insights from behavioural theory, linking existing economic modelling with individual-farm Agent-Based Models
About the project: Nearly 50% of the European Union (EU) land area is agricultural. However, the ecosystem services (ESS) provided by these agro-ecosystems – including food, bioenergy, water, carbon storage and biodiversity – are threatened by processes such as land-use intensification and changing climate. European, national and regional policy makers must hence rethink and redesign rural policy to enhance the sustainability of agricultural landscapes while ensuring farmers’ livelihoods at the same time. However, the policy impact assessment models currently used by the European Commission (EC) ignore the complexity of farmers’ decision making, potentially leading to incorrect predictions of policy outcomes. Furthermore, existing models focus on narrow aspects of agricultural economics (e.g. income), ignoring policy impacts on rural natural, social and cultural assets. BESTMAP will develop a new modeling framework using insights from behavioural theory, linking existing economic modelling with individual-farm Agent-Based Models. Using these new modular and customizable tools BESTMAP will quantitatively model, map and monitor co-designed policy scenarios’ impacts on the environment, climate system, delivery of ESS, as well as socioeconomic metrics (e.g. jobs). BESTMAP outputs will improve and contribute to existing tools used by the EC such as the Modular Applied GeNeral Equilibrium Tool (MAGNET) and Common Agricultural Policy Regionalised Impact model (CAPRI). Finally, BESTMAP will use a range of external communication and dissemination methods, including online policy dashboard, workshops and training, to help build capacity for EC staff and policy makers at EU institutions, national, regional and local decision makers and expert personnel, as well as other researchers.
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 817501.