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Evaluating Policy Instrument Complexity With Causal Loop Diagrams

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  • Crabolu, Gloria
  • Font, Xavier
  • Eker, Sibel

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.

Suggested Citation

  • Crabolu, Gloria & Font, Xavier & Eker, Sibel, 2023. "Evaluating Policy Instrument Complexity With Causal Loop Diagrams," SocArXiv 2c83b, Center for Open Science.
  • Handle: RePEc:osf:socarx:2c83b
    DOI: 10.31219/osf.io/2c83b
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    1. Paul Cairney, 2012. "Complexity Theory in Political Science and Public Policy," Political Studies Review, Political Studies Association, vol. 10(3), pages 346-358, September.
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    3. Patrizia Modica & Alessandro Capocchi & Ilaria Foroni & Mariangela Zenga, 2018. "An Assessment of the Implementation of the European Tourism Indicator System for Sustainable Destinations in Italy," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    4. Mihalic, Tanja, 2020. "Conceptualising overtourism: A sustainability approach," Annals of Tourism Research, Elsevier, vol. 84(C).
    5. Suno Wu, Jenny & Barbrook-Johnson, Pete & Font, Xavier, 2021. "Participatory complexity in tourism policy: Understanding sustainability programmes with participatory systems mapping," Annals of Tourism Research, Elsevier, vol. 90(C).
    6. Ian Sanderson, 2009. "Intelligent Policy Making for a Complex World: Pragmatism, Evidence and Learning," Political Studies, Political Studies Association, vol. 57(4), pages 699-719, December.
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