Using DEA method for determining tourism efficiency of Serbia and the surrounding countries

Authors

  • Ivana Ilić University UNION – Nikola Tesla, Faculty for Strategic and Operational Management, Belgrade
  • Ivana Petrevska High School of Professional Studies for Educators and Business Informatics – Sirmijum, Sremska Mitrovica

DOI:

https://doi.org/10.5937/menhottur1801073I

Keywords:

DEA method, tourism efficiency, analysis

Abstract

Data Envelopment Analysis (DEA method) was used for determining tourism efficiency of Serbia and the surrounding countries. Analysis is done on the basis of input and output parameters which provide objective analysis and identify the best practice. Tourism expenses and the number of beds are used as inputs, while the number of arrivals, the number of nights spent and tourism revenue in 2016 are used as output parameters. The applied analysis has shown that in the aspect of tourism 6 countries are relatively efficient, while other 9 are relatively inefficient. The efficient countries are: Montenegro, Bosnia and Herzegovina, Croatia, Greece, Austria and Albania, while Serbia, FYR Macedonia, Slovenia, Romania, Bulgaria, Italy, Hungary, Slovakia and the Czech Republic have efficiency value of: 64.49%, 54.57%, 97.82%, 86.96%, 86.38%, 83.78%, 86.38%, 69.54%, and 73.27%, respectively. In order to improve their efficiency, the inefficient countries should reduce tourism costs and the number of beds and increase some of the output parameters. This paper should give the instructions to inefficient countries how to improve their efficiency.

References

Avkiran, N. K. (Ed.) (2006). Productivity Analysis in the Service Sector with Data Envelopment Analysis. 3rd edition. Queensland, Australia: The University of Queensland, UQ Business School. http://dx.doi.org/10.2139/ssrn.2627576

Bogeti?, S., Beši?, C. & ?or?evi?, D. (2017). Analiza potencijala doma?eg turizma u odnosu na globalne trendove i zna?aj za ekonomski razvoj Srbije [The analysis of domestic tourism potentials in relation to global trends and the importance for economic development of Serbia]. Menadžment u hotelijerstvu i turizmu, 5(1), 94-104.

Eurostat. (2017). Retreived Novembar 7, 2017 from

http://ec.europa.eu/eurostat/data/database

Hadad, S., Hadad, Y., Malul, M. & Rosenboim, M. (2012). The economic efficiency of the tourism industry: a global comparison. Tourism Economics, 18(5), 931-940. https://doi.org/10.5367/te.2012.0165

Ministarstvo trgovine, turizma i telekomunikacija. (2017). Informacija o turisti?kom prometu u Srbiji za period januar - januar 2017 [Information on Tourist Traffic in Serbia for the period January - January 2017]. Retreived Novembar 7, 2017 from http://mtt.gov.rs/sektori/sektor-za-turizam/korisne-informacije-turisticki-promet-srbija-kategorizacija

Onetiu, A. N. & Predonu, A. M. (2013). Economic and Social Efficiency of Tourism. Procedia – Social and Behavioral Sciences, 92, 648-651.

https://doi.org/10.1016/j.sbspro.2013.08.732

Radovi?, G. (2016). Razvoj ruralnog turizma u Sloveniji – mogu?e smernice Srbiji [Development of rural tourism in Slovenia – potential guidelines for Serbia]. Menadžment u hotelijerstvu i turizmu, 4(2), 103-111.

Republi?ki zavod za statistiku. (2017). Statisti?ki godišnjak Republike Srbije 2017 [Statistial Yearbook of the Republic of Serbia 2017]. Retreived January 12, 2018 from http://pod2.stat.gov.rs/ObjavljenePublikacije/G2017/pdf/G20172022.pdf

Rosi?, M., Kuki?, D. & Božovi?, M. (2015). Primena analize obavijanja podataka (DEA) za ocenu rizika u bezbednosti saobra?aja [Application of Data Envelopment Analysis (DEA) to Evaluate Risk in Road Safety]. IV me?unarodna konferencija ,,Bezbednost saobra?aja u lokalnoj zajednici'' (pp. 231-241). Banja Luka. http://agrosym.kors.conforganiser.com/paper/view/3620#.WuLrjxuFNdg

Soysal-Kurt, H. (2017). Measuring Tourism efficiency of European Countries by Using Data Envelopment Analysis. European Scientific Journal, 13 (10), 31-49. http://dx.doi.org/10.19044/esj.2017.v13n10p31

Statistikat e turizmit [Tourism statistics]. Retreived April 27, 2018 from

http://www.mjedisi.gov.al/statistikat-e-turizmit/

The World Bank Data. Retreived March 19, 2018 from

https://data.worldbank.org/indicator

Toma, E. (2014). Regional scale efficiency evaluation by input-oriented Data Envelopment Analysis of tourism sector. International Journal of Academic Research in Environment and Geography, 1(1), 15-20.

Downloads

Published

2018-06-26

How to Cite

Ilić, I., & Petrevska, I. (2018). Using DEA method for determining tourism efficiency of Serbia and the surrounding countries. Hotel and Tourism Management, 6(1), 73–80. https://doi.org/10.5937/menhottur1801073I