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Museum and monument attendance and tourism flow: A time series analysis approach

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  • Cellini, Roberto
  • Cuccia, Tiziana

Abstract

This paper takes a time series analysis approach to evaluate the directions of causality between tourism flows, on the one side, and museum and monument attendance, on the other. We consider Italy as a case study, and analyze monthly data over the period January 1996 to December 2007. All considered series are seasonally integrated, and co-integration links emerge. We focus on the error correction mechanism among co-integrated time series to detect the directional link(s) of causality. Clear-cut results emerge: generally, the causality runs from tourist flows to museum and monument attendance. The non-stationary nature of time series, their co-integration relationships, and the direction of causal links suggest specific implication for tourism and cultural policies.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 18908.

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Date of creation: Nov 2009
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Handle: RePEc:pra:mprapa:18908

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Keywords: Tourism; Museum; Seasonal unit root; Co-integration; Causality.;

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References

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Citations

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Cited by:
  1. Roberto Patuelli & Maurizio Mussoni & Guido Candela, 2012. "The Effects of World Heritage Sites on Domestic Tourism: A Spatial Interaction Model for Italy," Working Paper Series 14_12, The Rimini Centre for Economic Analysis, revised Jan 2013.
  2. F. Di Lascio & Simone Giannerini & Antonello Scorcu & Guido Candela, 2011. "Cultural tourism and temporary art exhibitions in Italy: a panel data analysis," Statistical Methods and Applications, Springer, vol. 20(4), pages 519-542, November.
  3. JG. Brida & M. Pulina & E. Riaño, 2010. "Visitors’ experience in a modern art museum: a structural equation model," Working Paper CRENoS 201026, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  4. Ingrassia, Salvatore & Minotti, Simona C. & Punzo, Antonio, 2014. "Model-based clustering via linear cluster-weighted models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 159-182.

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