The purpose of the dissertation was to develop a multi-criteria decision-making (MCDM) model for evaluating the effectiveness of collective agri-environmental and climate (cAEC) schemes based on the integration of SWOT analysis and the DEX method. Based on a systematic review of 46 scientific sources, relevant legal regulations, and an analysis of seven SWOT analyses of cAEC schemes, we used the Delphi method to develop 38 qualitative impact criteria and arranged them in a hierarchical decision tree. Using a pair comparison approach, we determined the weights of the criteria and SWOT factors. We developed an innovative approach called the SWOT converter, which converts qualitative data from SWOT analyses into comparable ordinal scales, enabling the evaluation and comparison of the results of multiple SWOT analyses in the MCDM model. To test the usability of the model, we designed three versions: comparative (Model 1), temporal (Model 2), and scenario-based (Model 3). The developed methodology enables the repeatable integration of qualitative data into a MCDM model and provides a useful tool for strategic decision-making in agri-environmental and climate policy and beyond.
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