Sustainable festival populations: An application of organizational ecology

Andersson, Tommy D., Getz, Don and Mykletun, Reidar J. (2013) Sustainable festival populations: An application of organizational ecology. Tourism Analysis, 18 6: 621-634. doi:10.3727/108354213X13824558188505

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Author Andersson, Tommy D.
Getz, Don
Mykletun, Reidar J.
Title Sustainable festival populations: An application of organizational ecology
Journal name Tourism Analysis   Check publisher's open access policy
ISSN 1083-5423
Publication date 2013-12
Year available 2013
Sub-type Article (original research)
DOI 10.3727/108354213X13824558188505
Open Access Status File (Author Post-print)
Volume 18
Issue 6
Start page 621
End page 634
Total pages 14
Place of publication Putnam Valley, United States
Publisher Cognizant Communication Corporation
Collection year 2014
Abstract This article addresses the sustainability of festival populations from the perspective of organizational ecology theory, and in particular age and density dependence. Data from whole populations of festivals in three Norwegian counties are examined. Analyses of festival start-ups demonstrate that the number of events in each county had risen faster than population growth before plateauing, and changes were correlated significantly with trends in the Norwegian gross domestic product. Data on festival age, theme, and other variables were also considered in the light of whole population dynamics. It is concluded that the fundamental tenets of density dependence theory were empirically demonstrated insofar as rapid growth in the festival populations was not sustainable when resources diminished, but no data were available on festival failures. It appears that the hypothetical legitimation of festivals helps to explain rapid growth, as festivals have become popular instruments of public policy. Implications are drawn for future whole population studies and for policy makers who would seek to manage portfolios or whole populations of festivals.
Keyword Density dependence
Festival populations
Limits to growth
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
UQ Business School Publications
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Citation counts: Scopus Citation Count Cited 3 times in Scopus Article | Citations
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