Understanding compliance with voluntary sustainability standards: a machine learning approach
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| Language: | English |
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Springer
2023
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| Online Access: | https://link.springer.com/article/10.1007/s10668-022-02524-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/9420 |
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oai:localhost:PNK-94202023-10-03T04:41:50Z Understanding compliance with voluntary sustainability standards: a machine learning approach Garbely, Anja Steiner, Elias machine learning approach voluntary sustainability standards CC-BY Voluntary sustainability standards are quickly gaining ground. Whether and how they work in the field, however, remains largely unclear. This is troubling for standards organizations since it hinders the improvement of their standards to achieve a higher impact. One reason why it is difficult to understand the mechanics of VSS is heterogeneity in compliance. We apply machine learning techniques to analyze compliance with one particular VSS: Rainforest Alliance-for which we have detailed audit data for all certified coffee and cocoa producers. In a first step, we deploy a k-modes algorithm to identify four clusters of producers with similar non-compliance patterns. In a second step, we match a large array of data to the producers to identify drivers of non-compliance 2023-10-03T04:41:50Z 2023-10-03T04:41:50Z 2022 Book https://link.springer.com/article/10.1007/s10668-022-02524-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/9420 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
machine learning approach voluntary sustainability standards |
| spellingShingle |
machine learning approach voluntary sustainability standards Garbely, Anja Steiner, Elias Understanding compliance with voluntary sustainability standards: a machine learning approach |
| description |
CC-BY |
| format |
Book |
| author |
Garbely, Anja Steiner, Elias |
| author_facet |
Garbely, Anja Steiner, Elias |
| author_sort |
Garbely, Anja |
| title |
Understanding compliance with voluntary sustainability standards: a machine learning approach |
| title_short |
Understanding compliance with voluntary sustainability standards: a machine learning approach |
| title_full |
Understanding compliance with voluntary sustainability standards: a machine learning approach |
| title_fullStr |
Understanding compliance with voluntary sustainability standards: a machine learning approach |
| title_full_unstemmed |
Understanding compliance with voluntary sustainability standards: a machine learning approach |
| title_sort |
understanding compliance with voluntary sustainability standards: a machine learning approach |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s10668-022-02524-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/9420 |
| _version_ |
1779307180310134784 |
| score |
8.891787 |