EVALUATING POLICY INSTRUMENT COMPLEXITY WITH CAUSAL LOOP DIAGRAMS

Gloria Crabolu, Xavier Font and Sibel Eker

No 2c83b, SocArXiv from Center for Open Science

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.

Date: 2023-03-08
New Economics Papers: this item is included in nep-tur
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:2c83b

DOI: 10.31219/osf.io/2c83b

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