Measuring Seasonality: Performance of Accommodation Establishments in Sicily Through the Analysis of Occupancy Rates

  • Stefano De Cantis
  • Mauro Ferrante


Seasonal variations in tourism demand are a central theme, not only in tourism literature, but also in the field of policy decision making of a destination. Generally, seasonality is perceived as a problem with serious implications for all aspects of supply side behavior (Baum and Hagen 1999). For the accommodation sector, the relatively high fixed costs make seasonality a relevant issue. An extended season, lower variability in tourism demand, and high occupancy levels, are desirable goals for managers of accommodation establishments. In South of Italy the share of employees in HORECA (hotel, restaurant, and catering) sector in 2006 was of 4.7%, though the overall impact is likely to be higher if other tourism related activities would be considered. Particularly, Sicily seems to have a great potential coming from its tourism resources, and most of the recent development programmes have focused on tourism.


Lorenz Curve Occupancy Rate Seasonal Component Overnight Stay Seasonal Factor 
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  1. Ashworth J, Thomas B (1999) Patterns of seasonality in employment in tourism in the UK. Appl Econ Lett 6(11):735–739CrossRefGoogle Scholar
  2. Ball RM (1988) Seasonality: a problem for workers in the tourism labour market? Serv Ind J 8(4):501–513CrossRefGoogle Scholar
  3. BarOn RV (1975) Seasonality in tourism – a guide to the analysis of seasonality and trends for policy making. Technical Series No. 2, The Economist Intelligence Unit Ltd, LondonGoogle Scholar
  4. Baum T, Hagen L (1999) Seasonality in Tourism: understanding the challenges – Introduction. Tourism Econ Special Edition on Seasonality in Tourism 5(1):5–8Google Scholar
  5. Baum T, Lundtorp S (eds) (2001) Seasonality in tourism. Pergamon, OxfordGoogle Scholar
  6. Box GEP, Cox DR (1964) An analysis of transformations. J R Stat Soc B 26:211–246Google Scholar
  7. Box GEP, Jenkins GM (1976) Time series analysis: forecasting and control (revised edition). Holden Day, San FranciscoGoogle Scholar
  8. Butler RW (1994) Seasonality in tourism: issues and problems. In: Seaton AV (ed) (1994) Tourism: the State of the Art. Wiley, Chichester, pp 332–339Google Scholar
  9. Butler RW, Mao B (1997) Seasonality in tourism: problems an measurement. In: Murphy P (ed) Quality management in urban tourism. Wiley, Chichester, pp 9–23Google Scholar
  10. Calantone RJ, Di Benedetto CA, Bojanic D (1987) A comprehensive review of the tourism forecasting literature. J Travel Res 26:28–39CrossRefGoogle Scholar
  11. De Cantis S, Ferrante M (2008) Seasonality in tourism: a critical review of its main measures. In: first join meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Book of short papers, Edizioni Scientifiche Italiane, pp 265–268Google Scholar
  12. Drakatos C (1987) Seasonal concentration of tourism in Greece. Ann Tourism Res 14(4):582–586CrossRefGoogle Scholar
  13. Falkner HD (1924) The measurement of seasonal variation. J Am Stat Assoc 19(146):167–179CrossRefGoogle Scholar
  14. Fernández-Morales A (2003) Decomposing seasonal concentration. Ann Tourism Res 30(4):942–956CrossRefGoogle Scholar
  15. Frechtling DC (2001) Forecasting tourism demand: methods and strategies. Butterworth-Heinemann, OxfordGoogle Scholar
  16. Goh C, Law R (2002) Modelling and forecasting tourism demand for arrivals with stochastic non-stationary seasonality and intervention. Tourism Manage 23:499–510CrossRefGoogle Scholar
  17. Gómez V, Maravall A (1996) Programs TRAMO (Time Series Regression with ARIMA noise, Missing observations and Outliers) and SEATS (Signal Extraction in ARIMA Time Series) Instruction for the user, Working Paper 9628, Bank of Spain, MadridGoogle Scholar
  18. Gonzàlez P, Moral P (1996) Analysis of tourism trends in spain. Ann Tourism Res 23:739–754CrossRefGoogle Scholar
  19. Gressens O (1925) On the measurement of seasonal variation. J Am Stat Assoc 20(150):203–210CrossRefGoogle Scholar
  20. Hannan EJ (1964) The estimation of a changing seasonal pattern. J Am Stat Assoc 59(308):1063–1077CrossRefGoogle Scholar
  21. Hartmann R (1986) Tourism seasonality and social change. Leis Stud 5(1):25–33CrossRefGoogle Scholar
  22. Hylleberg S (ed) (1992) Modelling seasonality. Oxford University Press, OxfordGoogle Scholar
  23. Hylleberg S, Engle R, Granger C, Yoo B (1990) Seasonal integration and cointegration. J Econom 44:215–238CrossRefGoogle Scholar
  24. ISTAT (2008), Annuary del Turismo, online available at:
  25. Istat (various years) Tourism StatisticsGoogle Scholar
  26. Jeffrey D (1985) Spatial and temporal patterns of demand for hotel accommodation. Time-series analysis in Yorkshire and Humberside, UK. Tourism Manage 6(1):8–22CrossRefGoogle Scholar
  27. Jeffrey D, Barden RRD (1999) An analysis of the nature, causes and marketing implications of seasonality in the occupancy performance of English hotels. Tourism Econ 5(1):69–91Google Scholar
  28. Kim JH, Moosa I (2001) Seasonal behaviour of monthly international tourist flows: specification and implications for forecasting models. Tourism Econ 7(4):381–396CrossRefGoogle Scholar
  29. Koenig N, Bischoff E (2003) Seasonality of tourism in Wales: a comparative analysis. Tourism Econ 9(3):229–254CrossRefGoogle Scholar
  30. Koenig N, Bischoff E (2004) Tourism demand patterns in turbulent times: analysing welsh accommodation occupancy data for 1998–2001. Int J Tourism Res 6(4):205–220CrossRefGoogle Scholar
  31. Koenig N, Bischoff E (2005) Seasonality research: the state of the art. Int J Tourism Res 7(4–5):201–219CrossRefGoogle Scholar
  32. Krakover S (2000) Partitioning seasonal employment in the hospitality industry. Tourism Manage 21(5):461–471CrossRefGoogle Scholar
  33. Kulendran N, Wong KKF (2005) Modeling seasonality in tourism forecasting. J Travel Res 44:163–170CrossRefGoogle Scholar
  34. Kuznets S (1932) Seasonal pattern and seasonal amplitude: measurement of their short-time variations. J Am Stat Assoc 27(177):9–20CrossRefGoogle Scholar
  35. Leiper N (1989) Main destination ratios: analyses of tourist flows. Ann Tourism Res 16(4):530–541CrossRefGoogle Scholar
  36. Lickorish LJ (1997) Travel statistics – the slow move forward. Tourism Manage 18(8):491–497CrossRefGoogle Scholar
  37. Lim C (1997) Review of international tourism demand models. Ann Tourism Res 24(4):835–849CrossRefGoogle Scholar
  38. Lim C, McAleer M (2001) Monthly seasonal variations – Asian tourism to Australia. Ann Tourism Res 28(1):68–82CrossRefGoogle Scholar
  39. Lim C, McAleer M (2003) Modelling international travel demand from Singapore to Australia. CIRJE Discussion Paper,
  40. Lundtorp S (2001) Measuring tourism seasonality. In: Baum T, Lundtorp S (eds) Seasonality in tourism. Pergamon, Oxford, pp 23–50CrossRefGoogle Scholar
  41. Lundtorp S, Rassing CR, Wanhill SRC (1999) The off-season is ‘no season’: the case of Danish island of Bornholm. Tourism Econ 5(1):49–68Google Scholar
  42. Manning RE, Powers LA (1984) Peak and off-peak use: redistributing the outdoor recreation/tourism load. J Travel Res 23(2):25–31CrossRefGoogle Scholar
  43. Persons WM (1919) Measurement of seasonal fluctuations. Rev Econ Stat 1(1):18–31CrossRefGoogle Scholar
  44. Regione Siciliana (2005) Norme per lo sviluppo turistico della Sicilia e norme finanziarie urgenti. Gazzetta Ufficiale della Regione Siciliana no. 9 del 16/09/2005.Google Scholar
  45. Rosselló J, Riera A, Sansó A (2004) The economic determinants of seasonal patterns. Ann Tourism Res 31(3):697–711CrossRefGoogle Scholar
  46. Sørensen N (1999) Modelling the seasonality of hotel nights in Denmark by county and nationality. Tourism Econ 5(1):9–23Google Scholar
  47. Spurr WA (1937) A graphic method of measuring seasonal variation. J Am Stat Assoc 32(198):281–289CrossRefGoogle Scholar
  48. Sutcliffe CM, Sinclair MT (1980) The measurement of seasonality within the tourist industry: an application to tourist arrivals in Spain. Appl Econ 12(4):429–441CrossRefGoogle Scholar
  49. Vaccina F, Parroco AM (2004) Estimates of hidden tourism to plan local services: The Sicilian case. SCORUS 2004, Minneapolis, USAGoogle Scholar
  50. Vianelli S (1948) Lineamenti di metodologia statistica per l’analisi economica delle serie storiche. U.P.E.B, BolognaGoogle Scholar
  51. Wall G, Yan M (2003) Disaggregating visitor flows – the example of China. Tourism Anal 7(3/4):191–205Google Scholar
  52. Wanhill SRC (1980) Tackling seasonality: a technical note. Int J Tourism Manage 1(4):243–245CrossRefGoogle Scholar
  53. Wilton D, Wirjanto T (1998) An analysis of the seasonal variation in the national tourism indicators – a report prepared for the Canadian Tourism Commission. Department of Economics, University of Waterloo, WaterlooGoogle Scholar
  54. Yacoumis J (1980) Tackling seasonality – the case of Sri Lanka. Int J Tourism Manage 1(2):84–98CrossRefGoogle Scholar

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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Department of Quantitative Methods for Human SciencesUniversità degli Studi di PalermoPalermoItaly

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