This study used firm-level micro data to estimate the productivity effects of investment support (measure 121). The recently developed Coarsened Exact Matching (CEM) method was used to model the selection bias attached to the assignment of support and to estimate the causal effects.
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This case study from Finland focuses on the evaluation of the impacts of EU rural development measures and programmes on climate stability at the macro level using a multi-regional dynamic partial equilibrium modelling approach.
The case of Estonia offers a unique example of innovative evaluation methods focusing on protecting and enhancing biodiversity through the use of complementary indicators.
This factsheet highlights the complexities in evaluating NRNs and delivers recommendations on how to meet these challenges.
This factsheet highlights NRN self assessment tools to demonstrate achievements and their use for evaluation.
This factsheet presents the main challenges for evaluating the contributions of the two most important sub-measures of the agri-environmental scheme (i.e. integrated and organic production) for GHG emissions.