Zhang, Linjia and Botti, Laurent and Petit, Sylvain (2016): Destination performance: Introducing the utility function in the mean-variance space. Published in: Tourism Management , Vol. 52, (2016): pp. 123-132.
Preview |
PDF
MPRA_paper_75080.pdf Download (907kB) | Preview |
Abstract
Economic characteristics of home countries can cause considerable variations in the tourism demand. For example, the average level of expenditure per tourist varies from one origin to another and these variations may alter overtime. Thus different tourist nationalities are associated with different level of expenditures and risks. Therefore strategies aimed at minimizing the variations may become an important issue for the policy makers. In this paper, we aim to use the productivity measurement theory in a mean-variance space to a French region (Nord Pas-de-Calais) by introducing the utility function in a mean-variance framework. With this method, we can calculate the optimal portfolio share for each origin and give some useful political advices to the policy decision makers to improve the performance of the tourist sector.
Item Type: | MPRA Paper |
---|---|
Original Title: | Destination performance: Introducing the utility function in the mean-variance space |
Language: | English |
Keywords: | Productivity measurement; Mean-variance; Tourism efficiency; Efficiency decomposition; Utility function; Nord Pas-de-Calais |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C67 - Input-Output Models L - Industrial Organization > L8 - Industry Studies: Services > L83 - Sports ; Gambling ; Restaurants ; Recreation ; Tourism |
Item ID: | 75080 |
Depositing User: | Dr Sylvain Petit |
Date Deposited: | 20 Nov 2016 09:38 |
Last Modified: | 27 Sep 2019 14:43 |
References: | Anderson, R. I., Fok, R., & Scott, J. (2000). Hotel industry efficiency: an advanced linear programming examination, American Business Review, Vol.18, p40-48. Assaf, A. G. (2012). Benchmarking the Asia Pacific tourism industry: a Bayesian combination of DEA and stochastic frontier, Tourism Management, Vol.33, p1122-1127. Assaf, A., Barros, C. P., & Machado, L. P. (2011). The future outlook for Portuguese travel agents, Tourism Economics, Vol.17(2), 405-423. Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, Vol.30, 1078-1092. Banker, R. D., & Morey, R. C. (1986). Efficiency analysis for exogenously fixed inputs and outputs, Operations Research, Vol.34, p513-521. Barros, C. P. (2004). A stochastic cost frontier in the Portuguese hotel industry, Tourism Economics, Vol.10, p177-192. Barros, C. P., & Alves, F. P. (2004). Productivity in the tourism industry. International Advances in Economic Research, Vol.10, p215-225. Barros, C. P., Botti, L., Peypoch, N., Robinot, E., Solonandrasana, B., & Assaf, A. G. (2011). Performance of French destinations: tourism attraction perspectives, Tourism Management, Vol.32, p141-146. Barros, C. P., & Santos, C. (2006). The measurement of efficiency in Portuguese hotels using data envelopment analysis, Journal of Hospitality and Tourism Research, Vol.30, p378-400. Bosetti, V., Cassinelli, M., & Lanza, A. (2007). Benchmarking in tourism destination, keeping inmind the sustainable paradigm. Advances in Modern Tourism Research, p165-180. Botti, L., Goncalves, O., & Ratsimbanierana, H. (2012). French destination efficiency: a mean-variance approach, Journal of Travel Research, Vol.51, p115-129. Botti, L., Peypoch, N., Robinot, E., & Solonandrasana, B. (2009). Tourism destination competitiveness: the French regions case, European Journal of Tourism Research, Vol.2, p5-24. Briec, W., Kerstens, K., & Jokung, O. (2007). Mean-variance-skewness portfolio performance gauging: a general shortage function and dual approach, Management Science, Vol.53, p135-149. Briec, W., Kerstens, K., & Lesourd, J. B. (2004). Single period Markowitz portfolio selection, performance gauging and duality: a variation on the Luenberger shortage function, Journal of Optimization Theory and Applications, Vol.120, p1-27. Chambers, R. G., Chung, Y., & Fare, R. (1998). Profit, directional distance functions, and Nerlovian efficiency. Journal of Optimization Theory and Applications, Vol.98, p351-364. Charnes, A., Cooper,W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, Vol.2, p49-444. Chiang, W., Tsai, M., & Wang, L. S. (2004). A DEA evaluation of Taipei hotels, Annals of Tourism Research, Vol.31, p712-715. Daniels, M. J. (2004). Beyond input-output analysis: using occupation-based modeling to estimate wages generated by a sport tourism event. Journal of Travel Research, Vol.43, p75-100. F€are, R., & Grosskopf, S. (2000). Theory and application of directional distance functions, Journal of productivity Analysis, Vol.13, p93-103. Hruschka, H. (1986). Ansatze der Effizienmessung von Betrieben. Journal für Betriebswirtschaft, Vol.36, p76-85. Hwang, S. N., & Chang, T. Y. (2003). Using data envelopment analysis to measure hotel managerial efficiency change in Taïwan, Tourim Management, Vol.24, p357-369. Kennedy, V. (1998). Risk management in the Irish tourism industry: the contribution of a portfolio investment approach, Tourism Management, Vol.19, p119-126. K€oksal, C. D., & Aksu, A. A. (2007). Efficiency evaluation of A-group travel agencies with data envelopment analysis (DEA): a case study in the Antalya region, Turkey. Tourism Management, Vol.28, p830-834. Luenberger, D. G. (1992). Benefit function and duality, Journal of Mathematical Economics, Vol.21, p461-481. Markowitz, H. (1952). Portfolio selection, Journal of Finance, Vol.7, p77-91. Markowitz, H. (1959). Portfolio selection: Efficient diversification of investments. New York: John Wiley. Morey, R. C., & Dittman, D. A. (1995). Evaluating a hotel GM's performance: a case study in benchmarking, Cornell Hotel Restaurant & Administration Quarterly, Vol.36, p30-35. Morey, M. R., & Morey, R. C. (1999). Mutual fund performance appraisals: a multihorizon perspective with endogenous benchmarking. Omega, Vol.27, p241-258. Perrigot, R., Cliquet, G., & Piot-Lepetit, I. (2009). Plural form chain and efficiency: insights from the French hotel chains and the DEA methodology, European Management Journal, Vol.27, p268-280. Peypoch, N. (2007a). On measuring tourism productivity, Asia Pacific Journal of Tourism Research, Vol.12, p37-244. Peypoch, N. (2007b). Productivité du Secteur Touristique Français : Une comparaison inter-régionale, Economie et Prévision, Programme National Persée, Vol.177, p65-76. Peypoch, N., & Solonandrasana, B. (2006). A note on technical efficiency in tourism industry, Tourism Economics, Vol.12, p653-657. Ratsimbanierana, H., Sbai, S., & Stenger, A. (2013). Moroccan tourist portfolio efficiency with the mean-variance approach, European Journal of Tourism Research, Vol.6, p122-31. Seiford, L. M. (1996). Data envelopment analysis: the evolution of the state of the art (1978-1995), Journal of Productivity Analysis, Vol.7(2/3), p99-138. Uysal, E., Trainer, F., Jr., & Reiss, J. (2001). Revisiting mean-variance optimization, Journal of Portfolio Management, Vol.27, p71-81. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/75080 |