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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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    5. Ian Sanderson, 2009. "Intelligent Policy Making for a Complex World: Pragmatism, Evidence and Learning," Political Studies, Political Studies Association, vol. 57, pages 699-719, December.
    6. Mihalic, Tanja, 2020. "Conceptualising overtourism: A sustainability approach," Annals of Tourism Research, Elsevier, vol. 84(C).
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