Evaluating policy complexity with Causal Loop Diagrams

Crabolu, G., Font, X., & Eker, S. ORCID: https://orcid.org/0000-0003-2264-132X (2023). Evaluating policy complexity with Causal Loop Diagrams. Annals of Tourism Research 100 e103572. 10.1016/j.annals.2023.103572.

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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.

Item Type: Article
Uncontrolled Keywords: Policy instruments, Complexity science, Policymaking, Causal Loop Diagram, Sustainable tourism
Research Programs: Energy, Climate, and Environment (ECE)
Energy, Climate, and Environment (ECE) > Sustainable Service Systems (S3)
Depositing User: Luke Kirwan
Date Deposited: 22 May 2023 07:33
Last Modified: 22 May 2023 07:33
URI: https://pure.iiasa.ac.at/18808

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