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Multicriteria Analysis

Rationale of use

The 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.

Functioning

Initially, 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 outputs

The result of this analysis is a classification system that prioritises the needs.

Relevant CAP objective

All

Sources

Presentation in which the multicriteria analysis is presented
https://www.mapa.gob.es/es/pac/pac-2023-2027/presentaciontercerareuniondelpartenariado_tcm30-553429.pdf
Video explaining how the multicriteria analysis was performed (from minute 30 to 40)

Tool name

Multicriteria Analysis

Category

Policy choices supporting tools

Subcategory

Expert judgement-based approaches

MS

Spain

Author or owner

Author: National Ministry of Agriculture

Implemented by

Relevant tasks

CSP Design: Needs Assessment

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