ExpectedOutcome:
The successful proposal will contribute to innovative governance and sound decision making in agricultural policies for the green transition. In particular, they will contribute to achieving better informed decision-making processes, to establishing and monitoring innovative governance models enabling sustainability and resilience through enhanced and shared use of new knowledge, tools, foresight, and environmental observations as well as digital, modelling and forecasting capabilities. They will also contribute to strengthened EU science-policy interfaces to support the European Green Deal and to achieve the sustainable development goals.
Project results are expected to contribute to all of the following expected outcomes:
- policymakers are supported with cutting-edge tools and methods to design, monitor and implement tailored and results-based common agricultural policy (CAP) strategic plans that fully reflect the ambition of the Green Deal, in particular the farm to fork strategy and the biodiversity strategy;
- accountability of the CAP strategic plans is improved through SMART[1] targets for improved performance against clear baselines, which are coherent with EU objectives and international commitments; and
- good practices on the application of innovative tools and methods are widely shared and used across Member States.
Scope:
Agri-food systems are key sectors for the delivery of the objectives of the European green deal while the CAP is the most important EU policy mechanism with the capacity to have a significant impact on the agricultural dimension of these systems at European level.
In the new results-based delivery model of the CAP, Member States are in charge of tailoring CAP interventions to maximise their contribution to EU objectives and to achieve agreed targets. In developing their CAP strategic plans, Member States need to analyse their specific situation and needs, set their targets and design the interventions that will allow them to reach these targets, while being adapted to the national and specific regional contexts.
They also have a say in designing the compliance and control framework applicable to beneficiaries while continuing to ensure effective monitoring and enforcement of the attainment of all policy objectives.
Proposals should:
- Review and benchmark existing tools and/or methods used in different Member States to support the development, implementation and monitoring of effective CAP strategic plans.
- Develop, test and demonstrate a set of innovative tools and/or methods, both qualitative and quantitative, to evaluate the design and support the implementation and monitoring of effective CAP strategic plans.
- The proposed tools and/or methods should:
- take into account all objectives and policy instruments post-2020 CAP;
- enable analysis of coherence between the multiple instruments of the CAP as well as with other EU policies and international commitments;
- be compatible with and/or innovative in relation to the tools and methods used by the European Commission.
- Apply and evaluate potentials and limitations of the proposed tools to different case studies within Member States, with attention given to balanced geographical coverage and taking into account the diversity of farming systems across the EU, including the outermost regions, and different government structures, e.g. regional / federal administration approaches.
- Develop methodological protocols and guidelines for the users of the tools and methods.
The possible participation of the JRC in the project will ensure access to and improve the tools, methods and databases supporting the design and evaluation of CAP strategic plans based on scientific evidence. In particular it will contribute to the adjustment, further development, and application of existing modelling tools used by the Commission for the foresight analysis of CAP strategic plans, their coherence with the CAP, other EU policies and commitments, and their impact at EU, national, regional and farm level.
Cross-cutting Priorities:
Digital AgendaForesight
[1]specific, measurable, achievable, relevant, and time-bound
