An analysis of seasonality in monthly per person tourist spending in Turkish inbound tourism from a market segmentation perspective

Koç, Erdoğan; Altınay, Galip

doi:10.1016/j.tourman.2006.01.003

“…With the exception of Koc & Altinay (2007) Croce & Wöber (2010) calculated the average bednights of 20 European city destinations as a proxy for the seasonal patterns, and subsequently applied Gini coefficients and Pearson's bivariate correlation coefficients to make seasonal comparissons. The methodological differences were also determinant for whether variations in seasonality were fixed for the whole period of analysis (e.g., Drakatos, 1987;Bender et al, 2005), or varied over the course of time (e.g., Koenig-Lewis & Bischoff, 2002;Koc & Altinay, 2007;.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The methodological differences were also determinant for whether variations in seasonality were fixed for the whole period of analysis (e.g., Drakatos, 1987;Bender et al, 2005), or varied over the course of time (e.g., Koenig-Lewis & Bischoff, 2002;Koc & Altinay, 2007;.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Firstly, except for some exceptions like the rigorous work by Koc & Altinay (2007), Dritsakis (2008) and Vergori (2012), little attention has been given to the issue of whether the seasonal factors were deterministic or stochastic in nature. This distinction is important because stochastic seasonal series have long memory, whereby shocks will last forever and may actually permanently change the seasonal pattern (Hylleberg et al, 1990).…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Measuring Pattern, Amplitude and Timing Differences between Monetary and Non-Monetary Seasonal Factors of Tourism - the Case of Aruba

Ridderstaat

¹

,

Nijkamp

²

2013

SSRN Journal

2

0

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractSeasonality is a frequent and important occurrence in the tourism industry, with simultaneous effects on both the volume and financial flows of tourism. The seasonal characteristics of these monetary and nonmonetary tourism indicators can show diverging paths. Lack of synchronization between the seasonal patterns of these two types of indicators of tourism development can produce suboptimal situations, with less than best choices when formulating and implementing anti-seasonal policies. The purpose of this study is to measure pattern, amplitude and timing differences between the seasonal factors of monetary and non-monetary indicators of tourism development in Aruba. The study contributes to the gap in the literature on the dynamics in the co-movement of these two types of seasonal factors, while concurrently incorporating three measurement dimensions of this relation. Moreover, the study introduces novel calculation techniques in two of the three measurement dimensions. The methodology involves decomposing time series on both monetary and non-monetary variables using Census X12-ARIMA, with subsequent calculation of Pearson's correlation coefficients, median relative differences, and median timing differentials. The results show important quarterly differences in pattern, amplitude and timing of the seasonal factors, in terms of the applied timeframe, periodicity, variables and markets involved. The findings implicate the need for synchronizing strategies and a differentiated anti-seasonal policy.

show abstract

“…Therefore, the time series properties of the data need to be determined in order to make an accurate inference about the seasonal movements in the data (Koc & Altinay, 2007).…”

Section: Methodsmentioning

confidence: 99%

Measuring Pattern, Amplitude and Timing Differences between Monetary and Non-Monetary Seasonal Factors of Tourism — The Case of Aruba

Ridderstaat

¹

,

Nijkamp

²

2015

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractSeasonality is a frequent and important occurrence in the tourism industry, with simultaneous effects on both the volume and financial flows of tourism. The seasonal characteristics of these monetary and nonmonetary tourism indicators can show diverging paths. Lack of synchronization between the seasonal patterns of these two types of indicators of tourism development can produce suboptimal situations, with less than best choices when formulating and implementing anti-seasonal policies. The purpose of this study is to measure pattern, amplitude and timing differences between the seasonal factors of monetary and non-monetary indicators of tourism development in Aruba. The study contributes to the gap in the literature on the dynamics in the co-movement of these two types of seasonal factors, while concurrently incorporating three measurement dimensions of this relation. Moreover, the study introduces novel calculation techniques in two of the three measurement dimensions. The methodology involves decomposing time series on both monetary and non-monetary variables using Census X12-ARIMA, with subsequent calculation of Pearson's correlation coefficients, median relative differences, and median timing differentials. The results show important quarterly differences in pattern, amplitude and timing of the seasonal factors, in terms of the applied timeframe, periodicity, variables and markets involved. The findings implicate the need for synchronizing strategies and a differentiated anti-seasonal policy.

show abstract

“…For instance, Turkish tourism is highly seasonal with about 70% of tourists visiting Turkey between April and September for sun and sea holidays (Koc & Altinay, 2007). On top of seasonality, which requires skills to manage both the peak season and off-season, weather risk creates additional burdens in terms of the sustainability of hospitality businesses such as hotels, restaurants, cafes, etc.…”

Section: Call Prices and mentioning

confidence: 99%

Using Weather-Related Derivative Products for Tourism and Hospitality Businesses

Beyazit¹,

Koç²

2012

Visions for Global Tourism Industry - Creating and Sustaining Competitive Strategies

Self Cite

1

0

View full text Add to dashboard Cite

An analysis of seasonality in monthly per person tourist spending in Turkish inbound tourism from a market segmentation perspective

Cited by 128 publications

References 31 publications

Measuring Pattern, Amplitude and Timing Differences between Monetary and Non-Monetary Seasonal Factors of Tourism - the Case of Aruba

Measuring Pattern, Amplitude and Timing Differences between Monetary and Non-Monetary Seasonal Factors of Tourism - the Case of Aruba

Measuring Pattern, Amplitude and Timing Differences between Monetary and Non-Monetary Seasonal Factors of Tourism — The Case of Aruba

Using Weather-Related Derivative Products for Tourism and Hospitality Businesses

Contact Info

Product

Resources

About