Determinants of the spending of sporting touristsThe case of attendees at professional basketball

  1. Jesyca Salgado-Barandela 1
  2. Ángel Barajas 2
  3. Patricio Sánchez-Fernández 1
  1. 1 Universidade de Vigo
    info

    Universidade de Vigo

    Vigo, España

    ROR https://ror.org/05rdf8595

  2. 2 Higher School of Economics, National Research University
    info

    Higher School of Economics, National Research University

    Moscú, Rusia

    ROR https://ror.org/055f7t516

Revista:
European Research on Management and Business Economics

ISSN: 2444-8834

Ano de publicación: 2018

Volume: 24

Número: 3

Páxinas: 168-176

Tipo: Artigo

DOI: 10.1016/J.IEDEEN.2018.05.001 DIALNET GOOGLE SCHOLAR

Outras publicacións en: European Research on Management and Business Economics

Resumo

This article analyses the determinants of attendees’ tourism spending at professional basketball matches during the 2012/2013 season. For this purpose, it applies a linear quantile regression and considers the effect of specific sports event variables which have rarely been assessed in this type of study. Empirical results confirm that the determinants of expenditure have a different influence depending on the spending level. Individual spending is principally influenced by the origin of the attendees as well as by several other sports factors such as the time the match takes place, the admission price, or the sporting level of the rival team. The study establishes two levels of spending to identify the different behaviors that correspond to each of the factors under study. The findings could provide a useful input into tourism strategies related to the hosting of sport events.

Información de financiamento

The study was implemented in the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) in 2017.

Referencias bibliográficas

  • Abbruzzo, A., Brida, J. G., & Scuderi, R. (2014). Scad-elastic net and the estimation of individual tourism expenditure determinants. Decision Support Systems, 66, 52–60. http://dx.doi.org/10.1016/j.dss.2014.06.003
  • Aguiló Perez, E.,&Juaneda, S.C.(2000).Tourist expenditure formass tourism markets. Annals of Tourism Research, 27(3), 624–637. http://dx.doi.org/10.1016/S0160-7383(99)00101-2
  • Brida, J. G., Schubert, S., Osti, L., & Barquet, A. (2011). An analysis of tourists’ expenditure on winter sports events through the Tobit censorate model. Tourism Economics, 17(6), 1197–1217. http://dx.doi.org/10.2139/ssrn.1547694
  • Bilgic, A., Florkowski, W. J., Yoder, J., & Schreiner, D. F. (2008). Estimating fishing and hunting leisure spending shares in the United States. Tourism Management, 29(4), 771–782. http://dx.doi.org/10.1016/j.tourman.2007.09.001
  • Brida, J. G., Disegna, M., & Osti, L. (2013). Visitors’ expenditure behaviour at cultural events: The case of Christmas markets.Tourism Economics, 19(5), 1173–1196. http://dx.doi.org/10.5367/te.2013.0237
  • Brida, J. G., & Scuderi, R. (2013). Determinants of tourist expenditure: A reviewof microeconometric models.Tourism Management Perspectives, 6, 28–40. http://dx.doi.org/10.1016/j.tmp.2012.10.006
  • Buchinsky, M. (1994). Changes in the U.S. wage structure 1963–1987: Application of quantile regression. Econometrica, 62(2), 405–458. http://www.jstor.org/stable/2951618
  • Cannon, T. F., & Ford, J. (2002). Relationship of demographic and trip characteristics to visitor spending: An analysis of sports travel visitors across time.Tourism Economics, 8(3), 263–271. http://dx.doi.org/10.5367/000000002101298106
  • Chasco, C., & Sánchez, B.(2012). Externalidades ambientales y precio de la vivienda en Madrid: Un análisis con regresión cuantílica espacial. Revista Galega de Economía, 21(2),1–21. http://www.usc.es/econo/RGE/Vol212/castelan/bt4c.pdf
  • Chen, C. M., & Chang, K. L. (2012). The influence of travel agents on travel expenditures. Annals of Tourism Research, 39(2),1258–1263. http://dx.doi.org/10.1016/j.annals.2012.01.005
  • Craggs, R., & Schofield, P. (2009). Expenditure-based segmentation and visitor profiling at the quays in Salford, UK.Tourism Economics, 15(1), 243–260. http://dx.doi.org/10.5367/000000009787536753
  • Crouch,G.I.(1994).The study of international tourism demand: A survey of practice. Journal of Travel Research, 32(4), 41–55. http://dx.doi.org/10.1177/004
  • Despa, S. (2012). Quantile Regression, Stat News #70, Cornell Statistical Consulting Unit. Cornell University. Retrieved from Cornell University https://www.cscu.cornell.edu/news/statnews/stnews70.pdf
  • Dixon, A. W., Backman, S., Backman, K., & Norman, W. (2012). Expenditure-based segmentation of sport tourists. Journal of Sport and Tourism,17(1), 5–21. http://dx.doi.org/10.1080/14775085.2011.635017
  • Dolnicar, S., Crouch, G. I., Devinney, T., Huybers, T., Louviere, J. J., & Oppewal, H.(2008).Tourism and discretionary income allocation. Heterogeneity among households.Tourism Management, 29(1), 44–52. http://dx.doi.org/10.1016/j.tourman.2007.04.008
  • Downward, P., Lumsdon, L., & Weston, R. (2009). Visitor expenditure: The case of cycle recreation and tourism. Journal of Sport & Tourism ,14(1), 25–42. http://dx.doi.org/10.1080/14775080902847397
  • Fredman, P.(2008). Determinants of visitor expenditures in mountain tourism.Tourism Economics,14(2), 297–311. http://dx.doi.org/10.5367/000000008784460418
  • Gibson, H. (2005). Towards an understanding of ‘why sport tourists do what they do’. Sport in Society, 8(2), 198–217. http://dx.doi.org/10.1080/17430430500087369
  • Gould, W. (1997). Better numerical derivatives and integrals. Stata Technical Bulletin, 35, 3–5. Reprinted in Stata Technical Bulletin Reprints, 6, 8-12, https://www.stata.com/products/stb/journals/stb35.pdf
  • Hao, L., & Naiman, D. Q. (2007).Quantile regression. Thousand Oaks: Sage Publications.
  • Henthorne, T. L. (2000). An analysis of expenditures by cruise ship passengers in Jamaica. Journal of Travel Research, 38(3), 246–250. http://dx.doi.org/10.1177/004728750003800306
  • Hung, W. T., Shang, J. K., & Wang, F. C. (2012). Another look at the determinants of tourism expenditure. Annals of Tourism Research, 39(1), 495–498. http://dx.doi.org/10.1016/j.annals.2011.09.006
  • Jane, W., Kuo, N., Wu, J., & Chen, S. (2010). The attraction of baseball games in a small-size league: Are the effects of outcome uncertainties really important? International Journal of Sport Finance, 5, 296–313.
  • Koenker, R., & Hallock, K. (2001). Quantile regression: An introduction. Journal of Economic Perspectives, 15,143–156. http://digitalcommons.ilr.cornell.edu/hrpubs/19/
  • Koenker, R., & Basset, G., Jr. (1978). Regression quantiles. Econometrica, 46(1), 33–50. https://web.stanford.edu/∼doubleh/otherpapers/koenker.pdf
  • Laesser, C., & Crouch, G. I. (2006). Segmenting markets by travel expenditure patterns: The case of international visitors to Australia. Journal of Travel Research, 44(4), 397–406. http://dx.doi.org/10.1177/004287505282952
  • Lehto, X. Y., Morrison, A. M., & O’Leary, J. T. (2001). Does the visiting friends and relatives’ typology make a difference? A study of the international VFR market to the United States. Journal of Travel Research, 40(2), 201–212. http://dx.doi.org/10.1177/004728750104000211
  • Lehto, X. Y., O’Leary, J. T., & Morrison, A. M. (2002). Do psychographics influence vacation destination choices? A comparison of British travellers to North America, Asia and Oceania. Journal of Vacation Marketing, 8(2), 109–125. http://dx.doi.org/10.1177/135676670200800202
  • Lew, A. A., & Ng, P. T. (2012). Using quantile regression to understand visitor spending. Journal of Travel Research, 51(3), 278–288. http://dx.doi.org/10.1177/0047287511410319
  • Lim, C. (1997). Review of international tourism demand models. Annals of Tourism Research, 24(4), 835–849. http://dx.doi.org/10.1016/S0160-7383(97)00049-2
  • Lim, C. (2006). A survey of tourism demand modelling practice: Issues and implications. In L. Dwyer, & P. Forsyth (Eds.), International handbook on the economics of tourism (pp. 45–72). Cheltenham, UK: Edward Elgar. http://dx.doi.org/10.4337/9781847201638.00008
  • Marrocu, E., Paci, R., & Zara, A. (2015). Micro-economic determinants of touriste xpenditure: A quantile regression approach.Tourism Management, 50, 13–30. http://dx.doi.org/10.1016/j.tourman.2015.01.006
  • Medina-Muñoz, D. R., & Medina-Muñoz, R. D. (2012). Determinants of expenditures on wellness services: The case of Gran Canaria. Regional Studies, 46(3), 309–319. http://dx.doi.org/10.1080/00343404.2010.510501
  • Mak, J., Moncur, J., & Yonamine, D. (1977). Determinants of visitor expenditures and visitor lengths of stay: A cross-section analysis of US visitors to Hawaii. Journal of Travel Research,15(3), 5–8. http://dx.doi.org/10.1177/004728757701500302
  • Mok, C., & Iverson, T. J. (2000). Expenditure-based segmentation: Taiwanese tourists to Guam. Tourism Management , 21(3), 299–305. http://dx.doi.org/10.1016/S0261-5177(99)00060-6
  • Nicolau, J. L., & Más, F. J. (2005). Heckit modelling of tourist expenditure: Evidence from Spain. International Journal of Service Industry Management,16(3), 271–293. http://dx.doi.org/10.1108/09564230510601404
  • Oh, J. Y. J., Cheng, C. K., Lehto, X. Y., & O’Leary, J. T. (2004). Predictors of tourists’ shopping behaviour: Examination of socio-demographic characteristics and trip typologies. Journal of Vacation Marketing, 10(4), 308–319. http://dx.doi.org/10.1177/135676670401000403
  • Preuss, H., Könecke, T., & Schütte, N. (2010). Calculating the primary economic impact of a sports clubs regular season competition. A first model. Journal of Sporting Science and Physical Education, 60, 17–22.
  • Quick, S. (2000). Contemporary sport consumers: Some implications of linking fan typology with key spectators variables. Sport Marketing Quarterly, 9(3), 149–156.
  • Saayman, M., & Saayman, A. (2009). Why travel motivation and socio-demographics matter in managing a national park. Koedoe, 51(1), 49–57. http://dx.doi.org/10.4102/koedoe.v51i1.381
  • Saayman, M., & Saayman, A. (2012). Determinants of spending: An evaluation of three major sporting events. International Journal of Tourism Research, 14(2) http://dx.doi.org/10.1002/jtr.841
  • Sato, M., Jordan, J. S., Kaplanidou, K., & Funk, D. C. (2014). Determinants of tourists’expenditure at mass participant sport events: A five-year analysis. Current Issuesin Tourism,17(9), 763–771. http://dx.doi.org/10.1080/13683500.2014.892918
  • Serrano, R., García-Bernal, J., Fernández-Olmos, M., & Espitia-Escuer, M. A.(2015). Expected quality in European football attendance: Market value and uncertainty reconsidered. Applied Economics Letters, 22(13), 1051–1054. http://dx.doi.org/10.1080/13504851.2014.997919
  • Shani, A., Wang, Y., Hutchinson, J., & Lai, F. (2010). Applying expenditure-based segmentation on special-interest tourists: The case of golf travelers. Journal of Trave lResearch, 49(3), 337–350. http://dx.doi.org/10.1177/0047287509346852
  • Svensson, B., Moreno, P., & Martín, D. (2011). Understanding travel expenditure by means of market segmentation. Service Industries Journal, 31(10), 1683–1698. http://dx.doi.org/10.1080/02642069.2010.503891
  • Taks, M., Green, B. C., Chalip, L., Kesenne, S., & Martyn, S. (2013). Visitor compositionand event-related spending. International Journal of Culture, Tourism, and Hospitality Research,7(2), 132–147. http://dx.doi.org/10.1108/IJCTHR-04-2013-0020
  • Thrane, C. (2002). Jazz festival visitors and their expenditures: Linking spending patterns to musical interest. Journal of Travel Research, 40(3), 281–286. http://dx.doi.org/10.1177/0047287502040003006
  • Vicéns, J., & Sánchez, B. (2012). Regresión cuantílica: Estimación y contrastes. U.A.M. D.T. 21, Institute L.R. Klein – Centro Gauss. Retrieved from Centro Gauus Website: https://www.uam.es/otroscentros/klein/gauss/pdf/REGRESIONCUANTILICAESTIMACIONYCONTRASTES.pdf
  • Wang, Y., Rompf, P., Severt, D., & Peerapatdit, N. (2006). Examining and identifying the determinants of travel expenditure patterns.International Journal of Tourism Research, 8(5), 333–346. http://dx.doi.org/10.1002/jtr.583
  • Wang, Y., & Davidson, M. C. G. (2010). A review of micro-analyses of tourist expenditure. Current Issues in Tourism, 13(6),507–524. http://dx.doi.org/10.1080/13683500903406359
  • Yusof, A., Shah, P. M., & Geok, S. K. (2012). Application of Leiper’s tourist attraction system to small-scale sport event tourism in Malaysia. World Applied Sciences Journal, 18(7), 896–900. http://dx.doi.org/10.5829/idosi.wasj.2012.18.07.2045