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Schader, Christian; Curran, Michael; Heidenreich, Anja; Landert, Jan; Blockeel, Johan; Baumgart, Lukas; Ssebunya, Brian; Moakes, Simon; Marton, Silvia; Lazzarini, Gianna; Niggli, Urs; Stolze, Matthias. |
Many farm sustainability assessments use multi-criteria methods for aggregating indicators based on performance scores and importance weights. One of these is the SMART-Farm Tool, which measures the degree of goal achievement of farms across 327 indicators nested within 4 sustainability dimensions, 21 themes and 58 sub-themes of the FAO-SAFA Guidelines (Sustainability Assessment of Food and Agriculture). This study aims to improve the empirical foundation of the SMART-Farm Tool by (i) evaluating the uncertainty of indicator weights obtained via expert opinion and (ii) integrating this uncertainty into SMART assessment results. An adapted Delphi process was implemented, involving a group of 67 experts from 21 countries divided into thematic and regional... |
Tipo: Journal paper |
Palavras-chave: Policy environments and social economy Education; Extension and communication. |
Ano: 2019 |
URL: http://orgprints.org/36325/1/schader-etal-2019-EcologicalIndicators-Vol106-105503_SMARTUncertainty.pdf |
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Schader, Christian; Heidenreich, Anja; Landert, Jan; Blockeel, Johan; Baumgart, Lukas; Ssebunya, Brian; Moakes, Simon; Marton, Silvia. |
How can indicator weights for multi-criteria sustainability assessments be determined based on experts' opinions? How do different opinions affect the results of sustainability assessments? |
Tipo: Conference paper, poster, etc. |
Palavras-chave: Policy environments and social economy. |
Ano: 2017 |
URL: http://orgprints.org/32058/1/schader-etal-2017-poster_XV_EAAE_Congress_Final_Eprints.pdf |
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