Article metrics

  • citations in SCindeks: [2]
  • citations in CrossRef:[2]
  • citations in Google Scholar:[=>]
  • visits in previous 30 days:10
  • full-text downloads in 30 days:5
article: 3 from 7  
Back back to result list
Menadžment u hotelijerstvu i turizmu
2019, vol. 7, iss. 2, pp. 67-76
article language: English
document type: Original Scientific Paper
published on: 26/12/2019
doi: 10.5937/menhottur1902067D
Ranking tourism market performance in EMU countries: Results of PROMETHEE - GAIA approach
aUniversity of Kragujevac, Faculty of Hotel Management and Tourism, Vrnjačka Banja
bUniversity of Kragujevac, Faculty of Economy

e-mail: danijela.durkalic@kg.ac.rs

Project

Sustainable agriculture and rural development in the function of accomplishing strategic objectives of the Republic of Serbia in the Danube region (MESTD - 46006)
Research on cogeneration potential in municipal and industrial power plants in Republic of Serbia and technical and technological possibilities for the revitalization of existing and construction of new cogeneration plants (MESTD - 42013)

Abstract

Using data from 19 countries of the European Monetary Union (EMU), this paper examines the nature of tourism performance and the ranking of countries according to given parameters in tourism in the period 2012-2017. As tourism cannot be analyzed as an isolated scientific discipline, it is necessary to use a multidimensional and multicriteria approach when studying and researching this field. For this reason, this paper implements a simple methodology for measuring tourism performance in EMU countries using the multicriteria PROMETHEE - GAIA decision model. The paper will, through the analysis of 8 parameters important for the development and evaluation of the tourism industries (number of foreign tourists, number of domestic tourists, quantity of hotel accommodation, cost of living, air pollution, population density, length of railway and number of airports), rank the mentioned countries and provide a deeper analysis of individual parameters. For the entire period of observing and reviewing the performance of the tourism industry, the results of the paper will outline the performance evaluation as well as policy recommendations and conclusions for further consideration and analysis.

Keywords

tourism; performance; European Monetary Union; PROMETHEE - GAIA model

References

Andreopoulou, Z.S., Tsekouropoulos, G., Koliouska, C., Koutroumanidis, T. (2014) Internet marketing for sustainable development and rural tourism. International Journal of Business Information Systems (IJBIS), 16(4): 446-461
Antanasijević, D., Pocajt, V., Ristić, M., Perić-Grujić, A. (2017) A differential multi-criteria analysis for the assessment of sustainability performance of European countries: Beyond country ranking. Journal of Cleaner Production, 165: 213-220
Assaf, A. G., Tsionas, E.G. (2015) Incorporating destination quality into the measurement of tourism performance: A Bayesian approach. Tourism Management, 49: 58-71
Brans, J.P. (1982) L'ingénierie de la décision: Elaboration d'instruments d'aide à la décision. La méthode PROMETHEE / the engineering of the decision: Development of decision support tools: PROMETHEE method. in: Nadeau R., Landry M. [ed.] Laide a la décision: Nature, instruments et perspectives d'avenir, Quebec, Canada: Presses de l'Université Laval, str. 183-213
Brans, J.P., Mareschal, B., Vincke, Ph. (1984) PROMETHEE: A new family of outranking methods in multi-criteria analysis. in: Brans J.P. [ed.] Operational research, Amsterdam: North Holland, 84 (pp. 477-490)
Brans, J.P., Mareschal, B., Vincke, P. (1986) How to decide with PROMETHEE GAIA Software. Brussel: Vrije Universiteit Brussel (VUB), Universitie, pp. 1-5
Brans, J.P., Vincke, Ph. (1985) A preference ranking organisation method: The PROMETHEE Method for Multiple Criteria Decision-Making (MCDM). Management Science, 31(6): 647-656
Corbet, S., o'Connell John, F., Efthymiou, M., Guiomard, C., Lucey, B. (2019) The impact of terrorism on European tourism. Annals of Tourism Research, 75: 1-17
Despotović, D., Durkalić, D. (2017) Analiza budžetskog deficita zemalja kandidata za članstvo u EU. Serbian Journal of Management, vol. 12, br. 2, str. 237-253
Eurostat (2019) Number, 1 night or over, outbound. http://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do, October 18
Eurostat (2019) Number, 1 night or over, domestic. http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=tour_dem_tntot&lang=en, October 18
Eurostat (2019) Number of establishments, bedrooms and bed-places. http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=tour_cap_nat&lang=en, retrieved October 18
Eurostat (2019) Comparative price levels. http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tec00120, retrieved October 18
Ferrante, M., Lo, M.G., de Cantis, S. (2018) Measuring tourism seasonality across European countries. Tourism Management, 68: 220-235
Fura, B., Wojnar, J., Kasprzyk, B. (2017) Ranking and classification of EU countries regarding their levels of implementation of the Europe 2020 strategy. Journal of Cleaner Production, 165: 968-979
Gavrilović, Z., Maksimović, M. (2018) Green innovations in the tourism sector. Strategic Management, vol. 23, br. 1, str. 36-42
Gil, P.S., Llorca, V.R., Martínez, S.J.A. (2007) The effect of EMU on tourism. Review of International Economics, 15(2), 302-312
Jovanović, S. (2019) Zeleni hoteli kao novi trend u funkciji održivog razvoja i unapređenja konkurentnosti. Economics of Sustainable Development, vol. 3, br. 1, str. 1-7
Kovačić, M. (2010) Selecting the location of a nautical tourism port by applying PROMETHEE and GAIA methods case study: Croatian Northern Adriatic. Promet - Traffic&Transportation, 22(5): 341-351
Lakićević, M., Durkalić, D. (2018) Measurement of tourism market performance in EU countries: Results of Promethee-GAIA approach. in: Cvijanović D, et al. [ed.] Tourism in function of development of the Republic of Serbia: Тourism in the era of digital transformation: Thematic proceedings II, Vrnjačka Banja: Faculty of Hotel Management and Tourism in Vrnjačka Banja, pp. 99-116
Mendola, D., Volo, S. (2017) Building composite indicators in tourism studies: Measurements and applications in tourism destination competitiveness. Tourism Management, 59: 541-553
Michailidi, A., Chatzitheo, F. (2006) Scenarios analysis of tourism destinations. Journal of Social Sciences, 2(2): 41-47
Mirčetić, V., Vukotić, S., Cvijanović, D. (2019) The concept of business clusters and its impact on tourism business improvement. Ekonomika poljoprivrede, vol. 66, br. 3, str. 851-868
Obradović, S., Fedajev, A., Nikolić, Đ. (2012) Analiza poslovnog okruženja primenom multikriterijumske analize - primer tranzicionih privreda na Balkanu. Serbian Journal of Management, vol. 7, br. 1, str. 37-52
Pestana, B., Laurent, B., Nicolas, P., Elisabeth, R., Bernardin, S., Assaf, A. (2011) Performance of French destinations: Tourism attraction perspectives. Tourism Management, 32: 141-146
Ranjan, R., Chatterjee, P., Chakraborty, S. (2016) Performance evaluation of Indian states in tourism using an integrated PROMETHEE-GAIA approach. Opsearch, 53(1): 63-84
Seabra, C., Reis, P., Abrantes, J.L. (2020) The influence of terrorism in tourism arrivals: A longitudinal approach in a Mediterranean country. Annals of Tourism Research, 80: 102811-102811
Silva, E.S., Ghodsi, Z., Ghodsi, M., Heravi, S., Hassani, H. (2017) Cross country relations in European tourist arrivals. Annals of Tourism Research, 63: 151-168
Silva, F., Herrera, M., Rosina, K., Barranco, R., Freire, S., Schiavina, M. (2018) Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources. Tourism Management, 68: 101-115
Šušić, V., Đorđević, D.Ž. (2019) Savremene tendencije razvoja međunarodnog turizma. Ekonomika, vol. 65, br. 2, str. 27-37
Tekić, T. (2018) Razvoj B2C modela e-trgovine u zemljama Evropske unije. Anali Ekonomskog fakulteta u Subotici, br. 40, str. 171-182
United Nations World Tourism Organization (UNWTO) (2017) UNWTO Annual Report 2017. https://www.eunwto.org/doi/pdf/10.18111/9789284419807, retrieved October 28, 2019
United Nations World Tourism Organization (UNWTO) (2019) International tourism highlights, 2019 edition. https://www.e-unwto.org/doi/pdf/10.18111/9789284421152, retrieved November 14
World Aero Data (2019) Airports by country. http://worldaerodata.com/countries/, retrieved October 18
World Bank (2019) Population density (people per sq. km of land area). https://data.worldbank.org/indicator/EN.POP.DNST, retrieved October 18
World Bank (2019) Rail lines (total route-km). https://data.worldbank.org/indicator/IS.RRS.TOTL.KM?page=6, retrieved October 18
World Bank (2019) PM2.5 air pollution, annual exposure (micrograms per cubic meter). https://data.worldbank.org/indicator/EN.ATM.PM25.MC.M3, retrieved October 18