Check out the new practical examples of using selected Evaluation Knowledge Bank (EKB) outputs in evaluations:
Willkommen beim Europäischen Evaluierungs-Helpdesk für ländliche Entwicklung
Discover articles on:
- How to make the most of the Evaluation Knowledge Bank
- Evaluators recommend new CAP indicators to better assess animal welfare
- Capacity building events in 2022 and beyond
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- EU-level reporting obligations on evaluations
The study provides an overview of the current economic situation, sustainability, competition and export capacity of companies engaged in the processing and marketing of agricultural products, as well as future plans and necessary investments.
This Evaluation examined evidence regarding the Burren Programme’s environmental, economic, and social effects, including a literature review; a survey of its participants carried out in 2020; and a series of interviews with targeted stakeholders. Once identified, effects were classified according to the ‘capitals’ they impact upon; or the range of tangible and intangible assets from which farmers and society obtain value. These are natural, manufactured, human, intellectual, social and...
This Thematic Evaluation report has as its key focus the evaluation of Measure 6.1 (Young Farmers) and in doing so, also on Focus Area (FA) 2B of the Rural Development Programme (RDP)for Malta. The focus area is concerned with facilitating the entry of adequately skilled farmers into the agricultural sector and, in particular, generational renewal. Given that this FA is chiefly addressed by Measure 6.1 of the RDP1, the Thematic Evaluation exercise carried out in this report aims to assess...
This report summarises the main outcomes of the Good Practice Workshop, ‘How to assess AKIS based on lessons learned from 2014-2022’, which was hosted by the European Evaluation Helpdesk for the CAP.
Both for ex post evaluation of AKIS in the 2014-2022 period and the CAP 2023-2027 evaluations the objectives of this Good Practice Workshop were...
Was ist eine Ex-post-Bewertung?
This factsheet explores the evaluation of M13 to evaluate separately secondary effects of this individual measure on agricultural farms supported under FA 2A.This separate evaluation was carried out by applying a counterfactual analysis based on statistical matching techniques, binary PSM-DID and the Generalized Propensity Score Matching (GPSM).