INVESTMENTS IN TOURIST DESTINATIONS FOR INCREASING EFFICIENCY IN THE FUTURE SERBIAN TOURISM SECTOR
Abstract
The main goal of this paper is to find out a possible increase in efficiency on the basis of data from the previous period - which refers to investments in various elements of tourist destinations. In this studyit would be done by the evaluation of relative technical efficiency of tourism sector in 24 Serbian regions using data envelopment analysis (DEA). The evaluation will enable an analysis of how to influence the increase of tourism efficiency in the future, based on results from the recent past. On the side of output two variables were used in the DEA model: number of tourists and number of overnight stays. Furthermore, four input variables were used: annual average share of employment in accommodation and food service activities, annual average share of employment in arts, entertainment and recreation, investments in accommodation and food service activities and investments in arts, entertainment and recreation. Output oriented DEA model with variable return to scale has been solved and results show that relative efficiency score values are between 10% and 100%. Average efficiency score is 81%, which indicate that majority of Serbian regions obtained high efficiency score values. It will turn out that investments can be crucial for the development of tourism, but there are also barriers, limitations in this type of analysis. The small amount of input and output data in the survey can only yield results that need to be further verified.
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References
Banker, D., Charnes A., Cooper, W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, Vol. 30, No. 9, 1078-1092.
Bod’a, M., Zimková. E. (2015). Efficiency in the slovak banking industry: A comparison of three approaches. Prague Economic Papers, Vol. 24, No. 4, 434–451.
Charnes, A., Cooper, W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, Vol. 2, No. 6, 429-444.
Ćirić, Z., Sedlak, O. (2018). Measuring a Tourism Destination in the Context of Digital Transformation with Multiple Attribute Decision Making. In D. Cvijanović (Ed.): The Third International Scientific Conference: Tourism in Function of Development of the Republic of Serbia - Tourism in the Era of Digital Transformation. University of Kragujevac, Faculty of Hotel Management and Tourism in Vrnjačka Banja, Vrnjačka Banja, Vol. 3, No. 1, 356-373.
Ćirić, Z., Sedlak, O. (2019). Performance Indicators for Measuring Tourism Destination Competitiveness with a Fuzzy Method. In D. Cvijanović (Ed.): The Fourth International Scientific Conference: Tourism in Function of Development of the Republic of Serbia - Tourism as a Generator of Employment. University of Kragujevac, Faculty of Hotel Management and Tourism in Vrnjačka Banja, Vrnjačka Banja, Vol. 4, No. 2, 672-686.
Coelli, T., Perelman, S. (1999). A Comparison of Parametric and Nonparametric Distance Functions: With Application to European Railways. European Journal of Operational Research, Vol. 117, No. 2, 326-339.
Crocombe, G., Enright, J., Porter, E. (1991). Upgrading New Zealand's Competitive Advantage, Oxford University Press, Auckland.
Crouch, I., Ritchie, B. (1999). Tourism, Competitiveness, and Social Prosperity. Journal of Business Research, Vol. 44, No. 3, 137–152.
Cvetkoska, V., Fotova Čiković, K. (2021). Efficiency Analysis of Macedonian and Croatian Banking Sectors with DEA. Economy, Business & Development, Vol. 2, No. 2, 1-19.
Enright, J., Francès, A., Scott-Saavedra, E. (1996). Venezuela: The Challenge of Competitiveness, St. Martin's Press, New York.
Farrell, J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Vol. 120, No. 3, 253–290.
Ilić, I., Petrevska, I. (2018). Using DEA method for determining tourism efficiency of Serbia and the surrounding countries. Hotel and Tourism Management, Vol. 6, No. 1, 73-80.
Johnes, G. (2013). Efficiency in English higher education institutions revisited: a network approach. Economics Bulletin, Vol. 33, No. 4, 2698-2706.
Kočišová, K. (2015). Application of the DEA on the measurement of efficiency in the EU countries. Agricultural Economics, Vol. 61, No. 2, 51–62.
Koopmans, C. (1951). Efficient allocation of resources. Econometrica: Journal of the Econometric Society, Vol. 19, No. 4, 455-465.
Marcikić Horvat, A., Matkovski, B., Zekić, S., Radovanov, B. (2020). Technical efficiency of agriculture in Western Balkan countries undergoing the process of EU integration. Agricultural Economics, Vol. 66, No. 2, 65-73.
Marcikić Horvat, A., Radovanov, B. (2017). Primena analize obavijenosti podataka u komparaciji efikasnosti sistema visokog obrazovanja. Anali Ekonomskog fakulteta u Subotici, Vol. 38, No. 53, 23- 35.
Marcikić Horvat, A., Radovanov, B., Popescu, G., Panaitescu, C. (2019). A Two-Stage DEA Model to Evaluate Agricultural Efficiency in Case of Serbian Districts. Economics of Agriculture, Vol. 66, No. 4, 965- 974.
Marcikić Horvat, А., Radovanov, B. (2020). Efficiency of Tourism Development: Application of DEA and Tobit Model. In V. Bevanda & S. Štetić (Ed.): 5th International Thematic Monograph – Modern Management Tools and Economy of Tourism Sector in Present Era, Association of Economists and Managers of the Balkans, Belgrade, 15-28.
Milenković, N., Radovanov, B., Kalaš, B., Horvat, A. M. (2022). External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries. Sustainability, Vol. 14, No. 2, 978-992.
Nourani, M., Malim, K., Mia, A. (2021). Revisiting efficiency of microfinance institutions (MFIs): An application of network dataenvelopment analysis. Economic Research, Vol. 34, No. 1, 1146–1169.
Pavković, V., Jević, G., Jević, J., Nguyen, T., Sava, C. (2021). Determining Efficiency Of Tourism Sector In Certain European Countries And Regions By Applying DEA Analysis. Journal of Process Management and New Technologies, Vol. 9, No. 3-4, 49-61.
Porter, E. (1990). The Competitive Advantage of Nations, The Free Press, New York.
Prorok, V., Šerić, N., Peronja, I. (2019). Analysis of Overall and Pure Technical Efficiency of Tourism in Europe. Transactions on Maritime Science, No. 8, Vol. 2, 219-229.
Radovanov, B., Dudić B., Gregus, M., Marcikić Horvat, A., Karović, V. (2020). Using a Two-Stage DEA Model to Measure Tourism Potentials of EU Countries and Western Balkan Countries: An Approach to Sustainable Development. Sustainability, Vol. 12, No. 2, 4903-4915.
Radovanov, B., Marcikić Horvat, A., Stojić, D., Sedlak, O. (2021). A two-stage DEA model to assess the efficiency performance of Serbian insurance companies. Contemporary Challanges and Sustainability of the Insurance Industry, Univerzitet u Beogradu, Ekonomski fakultet, Beograd, 355-372.
Sarkis, J. (2007). Preparing your data for DEA. In J. Zhou & W. D. Cook (Eds.): Modeling data irregularities and structural complexities in data envelopment analysis, Springer, Boston, 305-320.
Sedlak, O., Ćirić, Z., (2017). Konkurentnosti turističke destinacije: donošenje odluke pomoću metode ocenjivanja podržano informacionim tehnologijama. In V. Bevanda & S. Štetić (Eds.): International Thematic Monograph - Modern Management Tools and Economy of Tourism Sector in Present Era. Association of Economists and Managers of the Balkans, Belgrade, 223- 240.
Škare, M., Rabar, D. (2016). Measuring economic growth using data envelopment analysis. Economic Journal, Vol. 18, No. 2, 386-406.
Statistical Office of the Republic of Serbia, https://www.stat.gov.rs/publikacije/publication/?p=13352, (26 February 2022).
Stefko, R., Gavurova, B., Kočišová, K. (2018). Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Health Economics Review, Vol. 8, No. 6, 1-12.
Tovmasyan, G. (2016). Tourism Development Trends in the World. European Journal Of Economic Studies, Vol. 17, No. 3, 429-434.
