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In this paper, we provide a review and assessment of methods used for analysing SDG entity interactions. Specifically, we assess the suitability of these methods for addressing policy coherence at different levels and from different perspectives.
A total of 30 methods are categorised into argumentative, literature, linguistic, simulation, statistical, and other quantitative methods and are examined with expert elicitation applying a range of criteria on the basis of the following factors: the ability to give detailed information about effects between SDG entities, practicability, sensitivity to interdisciplinarity, and collaboration and systems thinking.
No single method, category, or research tradition (i.e. quantitative or qualitative) can be regarded as the most suitable for analysing SDG entity interactions. Quantitative methods (i.e. statistical, simulation, and other quantitative) are most frequently applied in the scientific context, although assessment results suggest that argumentative methods are particularly useful for obtaining information about effects while enabling interdisciplinarity and collaboration. In contrast, literature, linguistic, and quantitative methods can not be used to process different kinds of information. However, regarding the effort required, quantitative methods (except simulation methods) seem to require fewer resources. Although argumentative methods are evaluated best overall in our assessment, different implementation contexts and the importance assigned to the criteria may justify the application of most other methods as well.
- Policy coherence
- SDG implementation
- Sustainable Development Goals
ASJC Scopus subject areas
- Geography, Planning and Development
- Management, Monitoring, Policy and Law
Fields of Expertise
- Sustainable Systems