This article explores the spending patterns of tourists by market segments of expenditure distribution. We focus on the case of the Canary Islands, that is, a region that is one of the main destinations in the European tourism market, and distinguish between expenditure at origin and expenditure at destination. To do this, we use unconditional quantile regression (QR), which is more appropriate than conditional QR for the interpretation of coefficients. The results suggest that spending behaviour is heterogeneous among quantiles of expenditure in terms of income, price, level of loyalty and hotel accommodation effects. Furthermore, some differences arise between the pattern of expenditure at origin and the one at destination, and among items of expenditure at destination.
AlegreJPouL (2004) Micro-economic determinants of the probability of tourism consumption. Tourism Economics10(2): 125–144.
6.
AlegreJPouL (2006) The length of stay in the demand for tourism. Tourism Management27: 1343–1355.
7.
AlegreJPouL (2008) Research note: tourism expenditure and all-inclusive packages – the case of a mature Mediterranean destination. Tourism Economics14(3): 645–655.
8.
AlegreJCladeraMSardM (2011) Analysing the influence of tourist motivations on tourist expenditure at a sun-and-sand destination. Tourism Economics17(4): 913–832.
9.
AlegreJMateoSPouL (2013) Tourism participation and expenditure by Spanish households: the effects of the economic crisis and unemployment. Tourism Management39: 37–49.
10.
BarquetABOstiJGLSchubertS (2011) An analysis of tourists’ expenditure on winter sports events through the Tobit censored model. Tourism Economics17(6): 1197–1217.
11.
BarrosCPMachadoLP (2010) The length of stay in tourism. Annals of Tourism Research37(3): 692–706.
12.
BarrosCPButlerRCorreiaA (2010) The length of stay of golf tourism: a survival analysis. Tourism Management31: 13–21.
13.
BarrosCPCorreiaACrouchG (2008) Determinants of the length of stay in Latin American tourism destinations. Tourism Analysis13: 329–340.
14.
BridaJGScuderiR (2013) Determinants of tourist expenditure: a review of microeconometric models. Tourism Management Perspectives6: 28–40.
15.
BridaJGDisegnaMOstiL (2012) The effect of authenticity on visitors’ expenditure at cultural events. Current Issues in Tourism16(3): 266–285.
16.
BridaJGDisegnaMOstiL (2013a) Visitors’ expenditure behaviour at cultural events: the case of Christmas markets. Tourism Economics19(5): 1173–1196.
17.
BridaJGDisegnaMScuderiR (2013b) Visitors to two types of museums: Do expenditure patterns differ?Tourism Economics19(5): 1027–1047.
18.
ChenCMChangKL (2012) The influence of travel agents on travel expenditures. Annals of Tourism Research39(2): 1258–1263.
19.
ChernozhukovVHansenC (2006) Instrumental quantile regression inference for structural and treatment effect models. Journal of Econometrics132: 491–525.
20.
ChernozhukovVHansenC (2008) Instrumental variable quantile regression: a robust inference approach. Journal of Econometrics142: 379–398.
21.
ChernozhukovVFernández-ValIKowalskiAE (2015) Quantile regression with censoring and endogeneity. Journal of Econometrics186(1): 201–221.
22.
Díaz-PérezFMBethencourt-CejasMÁlvarez-GonzálezJA (2005) The segmentation of Canary Island tourism markets by expenditure: implications for tourism policy. Tourism Management26: 961–964.
23.
DisegnaMOstiL (2016) Tourists’ expenditure behaviour: the influence of satisfaction and the dependence of spending categories. Tourism Economics22(1): 5–30.
24.
Eugenio-MartinJLInchausti-SintesF (2016) Low-cost travel and tourism expenditures. Annals of Tourism Research57: 140–159.
25.
Ferrer-RosellBCoendersG (2017) Airline type and tourist expenditure: Are full service and low cost carriers converging or diverging?Journal of Air Transport Management63: 119–125.
FredmanP (2008) Determinants of visitor expenditures in mountain tourism. Tourism Economics14(2): 297–311.
28.
García-SánchezAFernández-RubioEColladoMD (2013) Daily expenses of foreign tourists, length of stay and activities: evidence from Spain. Tourism Economics19(3): 613–630.
29.
GokovaliUBaharOKozakM (2007) Determinants of length of stay: a practical use of survival analysis. Tourism Management28: 736–746.
30.
Gómez-DénizEPérez-RodríguezJV (2019a) Modelling bimodality of length of tourist stay. Annals of Tourism Research75: 131–151.
31.
Gómez-DénizEPérez-RodríguezJV (2019b) Modelling distribution of aggregate expenditure on tourism. Economic Modelling78: 293–308.
32.
Gómez-DénizEPérez-RodríguezJVBoza-ChirinoJ (2019) Modelling tourist expenditure at origin and destination. Tourism Economics. Epub ahead of print 3 April 2019. DOI: 10.1177/1354816619840845 (accessed 3 April 2019).
33.
HeienDWessellsC (1990) Demand system estimation with micro data: a censored regression approach. Journal of Business & Economic Statistics8(3): 356–371.
34.
HellströmJ (2006) A bivariate count data model for household tourism demand. Journal of Applied Econometrics21: 213–226.
35.
HeungVCSChengE (2000) Assessing tourists’ satisfaction with shopping in the Hong Kong special administrative region of China. Journal of Travel Research38(4): 396–404.
36.
HongSKJangH (2005) Factors influencing purchasing time of a new casino product and its managerial implications: an exploratory study. Journal of Travel Research43: 395–403.
37.
HungWTShangJKWangFC (2012) Another look at the determinants of tourism expenditure. Annals of Tourism Research39(1): 495–498.
38.
JoppeMMartinDWWaalenJ (2001) Toronto’s image as a destination: a comparative importance-satisfaction analysis by origin of visitor. Journal of Travel Research39(3): 252–260.
39.
KassG (1980) An exploratory technique for investigating large quantities of categorical data. Applied Statistics29(2): 119–127.
40.
KimWGKimTTGazzoliG, et al. (2011) Factors affecting the travel expenditure of visitors to Macau, China. Tourism Economics17(4): 857–883.
Ledesma-RodríguezFJNavarro-IbáñezMPérez-RodríguezJV (2005) Return to tourist destination. Is it reputation, after all?Applied Economics37(18): 2055–2065.
43.
LeeC (2001) Determinants of recreational boater expenditures on trips. Tourism Management22(6): 659–667.
44.
LegohérelPWongKKF (2006) Market segmentation in the tourism industry and consumers’ spending: What about direct expenditures?Journal of Travel & Tourism Marketing20(2): 15–30.
45.
LeonesJCodbyBCrandallK (1998) Tracking expenditures of the elusive nature tourists of Southeastern Arizona. Journal of Travel Research36(3): 56–64.
46.
LewANgP (2012) Using quantile regression to understand visitor spending. Journal of Travel Research51(3): 278–288.
47.
MachadoLP (2010) Does destination image influence the length of stay in a tourism destination?Tourism Economics16: 443–456.
48.
MakJMoncurJYonamineD (1977) Determinants of visitor expenditures and Chinese holiday makers expenditures visitor lengths of stay: a cross-section analysis of US visitors to Hawaii. Journal of Travel Research15(3): 5–8.
49.
MarcussenCH (2011) Determinants of tourist spending in cross-sectional studies and at Danish destinations. Tourism Economics17: 833–855.
50.
MarrocuEPaciRZaraA (2015) Micro-economic determinants of tourist expenditure: a quantile regression approach. Tourism Management50: 13–30.
51.
MarzettiSDisegnaM (2012) Demand for the quality conservation of Venice, Italy, according to different nationalities. Tourism Economics18(5): 1019–1050.
52.
MenezesAGMonizAVieiraJC (2008) The determinants of length of stay of tourists in the Azores. Tourism Economics14: 205–222.
53.
PeypochNRandriamboarisonRRasoamananjaraF, et al. (2012) The length of stay of tourists in Madagascar. Tourism Management33: 1230–1235.
54.
PyoSUysalMMcLellanR (1991) A linear expenditure model for tourism demand. Annals of Tourism Research18: 443–454.
55.
SaaymanMSaaymanA (2012) Determinants of spending: an evaluation of three major sporting events. International Journal of Tourism Research14(2): 124–138.
56.
SalmasiLCelidoniMProcidanoI (2012). Length of stay: price and income semi-elasticities at different destinations in Italy. International Journal of Tourism Research14: 515–530.
57.
ThraneC (2012) Analyzing tourists’ length of stay at destinations with survival models: a constructive critique based on a case study. Tourism Management33: 126–132.
58.
ThraneC (2014) Modelling micro-level tourism expenditure: recommendations on the choice of independent variables, functional form and estimation technique. Tourism Economics20(1): 51–60.
59.
ThraneCFarstadE (2011) Domestic tourism expenditures: the non-linear effects of length of stay and travel party size. Tourism Management32: 46–52.
60.
WangD (2004) Tourist behaviour and repeat visitation to Hong Kong. Tourism Geographies6(1): 99–118.
61.
WangDDavidsonMCG (2010) A review of micro-analyses of tourist expenditure. Current Issues in Tourism13: 507–524.
62.
WangYRompfPSevertD, et al. (2006) Examining and identifying the determinants of travel expenditure patterns. International Journal of Tourism Research8(5): 333–346.
63.
WicksBESchuettMA (1993) Using travel brochures to target frequent travellers and ‘big-spenders. Journal of Travel & Tourism Marketing2(2/3): 77–90.
64.
WongJLawR (2003) Differences in shopping satisfaction levels: a study of tourists in Hong Kong. Tourism Management32(4): 401–410.
65.
WuLZhangJFujiwaraA (2013) Tourism participation and expenditure behaviour: analysis using a scobit based discrete–continuous choice model. Annals of Tourism Research40: 1–17.
66.
ZhengBZhangY (2011) Household expenditures for leisure tourism in the USA, 1996 and 2006. International Journal of Tourism Research15(2): 197–208.
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