| In the section | Articles |
| Title of the article | Regional Ratings for Assessing the Level of Tourism Growth |
| Pages | 100-122 |
| Author 1 | Elena Anatolyevna Fedorova Doctor of Sciences (Economics), Associate Professor, Professor Financial University under the Government of the Russian Federation 49 Leningradskiy av., Moscow, 125993, Russian Federation Professor School of Finance, Higher School of Economics 20 Myasnitskaya St., Moscow, 101000, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-3381-6116 |
| Author 2 | Lyudmila Ivanovna Chernikova Doctor of Sciences (Economics), Associate Professor, Professor Financial University under the Government of the Russian Federation 49 Leningradskiy av., Moscow, 125993, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0003-4743-5506 |
| Author 3 | Alena Eduardovna Pastukhova Student Financial University under the Government of the Russian Federation 49 Leningradskiy av., Moscow, 125993, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. |
| Abstract | The authors of the paper assume that assessment of the regional tourism potential requires a comprehensive study along several lines as well as with different approaches to ranking (assigning rating). Following this logics the goal of the study is formulated as a comprehensive assessment of the regional tourism potential and ranking the regions under 13 tourist zones of Russia after official statistics. Ranking was based on 3 indices: the efficiency index, the tourism growth index and the regional tourism competitiveness index. The methodology included grouping several indices according to statistical methods (DEA, normalization) and expert assessment. The aggregate rating for 2016 and 2017 was also provided. The methodology for the aggregate rating covered the study year; indices of tourist zones were ranked in an ascending order according to scores from 1 to 13. The study has identified tourist zones with high and low levels of growth, and has also revealed Russia’s overall tourism growth since 2014. Top three tourist zones, the Caucasus, the Azov-Black Sea and the Central one were set according to tourism growth in 2016; in 2017 they were the Urals, the Central and the Far Eastern zone. The results of the study are applicable in forming a regional strategy for tourism development |
| Code | 338.48+519.85 |
| JEL | C10, R11, L83 |
| DOI | https://dx.doi.org/10.14530/se.2020.1.100-122 |
| Keywords | tourism ♦ tourist zones ♦ tourism industry ♦ regional index ♦ tourism growth index ♦ tourist attractiveness of the region ♦ DEA ♦ rating ♦ ranking |
| Download | |
| For citation | Fedorova E.A., Chernikova L.I., Pastukhova A.E. Regional Ratings for Assessing the Level of Tourism Growth. Prostranstvennaya Ekonomika = Spatial Economics, 2020, vol. 16, no. 1, pp. 100–122. https://dx.doi.org/10.14530/se.2020.1.100-122 (In Russian). |
| References | 1. Azizi H., Biglari M., Joudi P. Assessment the Feasibility of Sustainable Tourism in Urban Environments Employing the Cumulative Linear Model. Procedia Engineering, 2011, vol. 21, pp. 24–33. 2. Barbosa L., Oliveira C., Rezende C. Competitiveness of Tourist Destinations: The Study of 65 Key Destinations for the Development of Regional Tourism. Brazilian Journal of Public Administration, 2010, vol. 44, no. 5, pp. 1067–1095. 3. Chaabouni S. China’s Regional Tourism Efficiency: A Two-Stage Double Bootstrap Data Envelopment Analysis. Journal of Destination Marketing & Management, 2019, vol. 11, pp. 183–191. 4. Cracolici M.F., Nijkamp P., Rietveld P. Assessment of Tourism Competitiveness by Analysing Destination Efficiency. Tourism Economics, 2008, vol. 14, issue 2, pp. 325–342. 5. D’Hauteserre A.-M. Lessons in Managerial Destination Competitiveness in the Case of Foxwoods Casino Resort. Tourism Management, 2000, vol. 21, issue 1, pp. 23–32. 6. Danciu A.R. The Ranking of the Romanian Regions based on the Potential to Attract FDI. Procedia-Social and Behavioral Sciencies, 2012, vol. 62, pp. 40–44. 7. Gahin R., Veleva V., Hart M. Do Indicators Help Create Sustainable Communities? Local Environment, 2003, vol. 8, issue 6, pp. 661–666. 8. Hassan S. Determinants of Market Competitiveness in an Environmentally Sustainable Tourism Industry. Journal of Travel Research, 2000, vol. 38, issue 3, pp. 239–245. 9. Hickey G.M., Innes J.L. Indicators for Demonstrating Sustainable Forest Management in British Columbia, Canada: An International Review. Ecological Indicators, 2008, vol. 8, issue 2, pp. 131–140. 10. Kotelnikov D.A. Indicator Approach to the Analysis of Sustainability of Development of the Tourist Areas of Krasnodar Region. Ekonomika Ustoychivogo Razvitiya = Economics of Sustainable Development, 2017, no. 2 (30), pp. 144–152. (In Russian). 11. Kurt S., Heldak M., Kurdoglu B.C., Wysmulek J. Evaluation of Sustainable Development of Tourism in Selected Cities in Turkey and Poland. Sustainability, 2019, vol. 11, issue 9. 12. Martin J.C., Mendoza C., Roman C. A DEA Travel-Tourism Competitiveness Index. Social Indicators Research, 2017, vol. 130, issue 3, pp. 937–957. 13. Palatkova M., Hrubcova G. Monitoring Regional Competitiveness Using the BSC Method: A Case of the Czech National Tourism Organisation. Czech Journal of Tourism, 2015, vol. 3, issue 2, pp. 107–126. 14. Perez-Dacal D., Pena-Boquete Y., Fernandez M. A Measuring Tourism Specialization: А Composite Indicator for the Spanish Regions. AlmaTourism, 2014, vol. 5, no. 9, pp. 35–73. 15. Poroshina O.V. Evaluation of Tourist Industry Development Efficiency on the Basis of Target-Oriented Approach. Problemy Razvitiya Territorii = Problems of Territory’s Development, 2016, no. 1 (81), pp. 79–95. (In Russian). 16. Qi Z., Ma J. Research on Business Efficiency of Hotel and Tourism Enterprises Based on the Influence of Innovation Factors. Energy Procedia, 2011, vol. 5, pp. 742–746. 17. Reed M.S., Fraser E.D.G., Dougill A.J. An Adaptive Learning Process for Developing and Applying Sustainability Indicators With Local Communities. Ecological Economics, 2006, vol. 59, issue 4, pp. 406–418. 18. Shi Y., Zhong L., Chen T., Yu H. Tourism Competitiveness Evaluation and Spatio-Temporal Characteristics of Chinese Border Counties. Chinese Geographical Science, 2016, vol. 26, pp. 817–828. 19. Suzuki S., Nijkamp P. Winners in the Urban Champions League – A Performance Assessment of Japanese Cities by Means of Dynamic and Super-Efficient DEA. Journal of Urban Management, 2018, vol. 7, issue 1, pp. 6–20. 20. Tasser E., Sternbach E., Tappeiner U. Biodiversity Indicators for Sustainability Monitoring at Municipality Level: An Example of Implementation in an Alpine Region. Ecological Indicators, 2008, vol. 8, issue 3, pp. 204–223. 21. The Travel & Tourism Competitiveness Index 2017. World Economic Forum. Geneva, 2017, 387 р. Available at: (accessed July 2019). 22. Valiev M.S. Evaluation and Analysis of Infrastructural Development for Domestic Tourism of a Region. Vestnik Tomskogo Gosudarstvennogo Universiteta = Tomsk State University Journal, 2008, no. 317, pp. 165–170. (In Russian). 23. Velichkina A.V. The Assessment of the Regional Tourism Infrastructure Development. Ekonomicheskie i Sotsialnye Peremeny: Fakty, Tendentsii, Prognoz = Economic and Social Changes: Facts, Trends, Forecast, 2014, no. 2 (32), pp. 239–250. (In Russian). 24. Wu W.-W. Beyond Travel & Tourism Competitiveness Ranking Using DEA, GST, ANN and Borda Count. Expert Systems with Applications, 2011, vol. 38, issue 10, pp. 12974–12982. 25. Zinovyeva A.A., Mikheeva E.E. Principles and Indicators of Competitive Development of Tourism in a Region. Kazanskii Ekonomicheskii Vestnik [Kazan Economic Bulletin], 2017, no. 1 (27), pp. 11–17. (In Russian) |
| Financing | The paper presents the effects of state budget research carried out after Government Contract of Finance University in 2019 |
| Submitted | 23.12.2019 |
| Revised | 28.02.2020 |
| Published online | 30.03.2020 |