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Evaluating policy complexity with Causal Loop Diagrams

Gloria Crabolu, Xavier Font and Sibel Eker

Annals of Tourism Research, 2023, vol. 100, issue C

Abstract: Methods to capture the complexity of using policy instruments would allow us to better evaluate the reasons for their effectiveness. Drawing from complexity science, we produce a Causal Loop Diagram to analyse the implementation of two informational policy instruments in a tourism destination: the Global Sustainable Tourism Council criteria and the European Tourism Indicator Scheme. To interpret the emerging system structure, we use complexity theory concepts of emergence; interdependence and interconnectivity; co-evolution; self-organisation; feedback; historicity and path dependence. This qualitative methodology sheds light on the interplay of factors that facilitate and impede the continuous use of these policy instruments. It shows how adopting a complexity science approach to evaluation studies can be invaluable to making tourism policy interventions more impactful.

Keywords: Policy instruments; Complexity science; Policymaking; Causal Loop Diagram; Sustainable tourism (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:anture:v:100:y:2023:i:c:s0160738323000452

DOI: 10.1016/j.annals.2023.103572

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