Rationale of useThe tight schedule for CSP preparation didn't permit the use of models or other tools that required rigorous testing. Thus, a multicriteria analysis was adopted to efficiently prioritise identified needs based on specific criteria.
FunctioningInitially, 85 distinct needs were pinpointed. These needs were subsequently categorised into five significant groups: economic, environmental, rural, consumer, and AKIS-related needs. A multicriteria analysis was then employed to determine the importance of each need based on the following criteria: 1. Commitment: This gauges the potential synergies with other policies and assesses alignment with the objectives set forth by the EU, Spain, or other political priorities. 2. Connections: This evaluates the association between the identified need and other objectives. 3. Measurability: It examines whether the accomplishments of this need can be quantitatively gauged, mainly through impact or result indicators. 4. Relevance: This criterion evaluates how crucial the need is concerning its associated objective. By amalgamating all these criteria, the needs are ranked based on three categories: +++, ++, and +. Additional insights regarding the significance of each need for specific regions were also incorporated through the Territorial Criterion, determined by two factors: extent and intensity.
Types of outputsThe result of this analysis is a classification system that prioritises the needs.
Relevant CAP objectiveAll
Presentation in which the multicriteria analysis is presented
Video explaining how the multicriteria analysis was performed (from minute 30 to 40)
Tool nameMulticriteria Analysis
CategoryPolicy choices supporting tools
SubcategoryExpert judgement-based approaches
Author or ownerAuthor: National Ministry of Agriculture
CSP Design: Needs Assessment