Transition towards result-based agriculture sector and climate targets: Summary of the doctoral thesis
2022
Gancone, Agita
The main aim of the Thesis is to develop an integrative decision-making methodology for the evaluation of GHG emission reduction measures in the agriculture sector, thus moving towards the result-based agriculture sector and climate neutrality. To achieve the general objectives of the research, the following tasks were carried out: 1) to analyse and select environmental and economic performance indicators for the assessment of the eco-efficiency of the agriculture sector using the regression analysis method; 2) to select agri-environmental indicators based on a theory-based approach to develop and recommend a modelling framework for decision-makers to assess GHG emission reductions in the agriculture sector; 3) to carry out a farm-level analysis of the carbon balance for biogas production from maize to assess the overall impact on the environment; 4) to rank bioresources for biogas production and cereal use by evaluating various criteria and using a multi-criteria decision analysis method; 4) to prioritize historical and current GHG reduction measures in the agriculture sector based on the Delphi approach, multi-criteria decision analysis using the TOPSIS method to assess progress towards result-based agriculture and contribute to climate goals; 5) to develop and propose an integrated decision-making analysis methodology for evaluating climate change mitigation measures to move towards result-based agriculture sectors and climate goals.
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