Чемпионат мира по футболу 2018 и эффективность российских коллективных средств размещения в региональном разрезе
DOI:
https://doi.org/10.22394/1993-7601-2026-82-67-85Ключевые слова:
техническая эффективность, коллективные средства размещения, туристическая отрасль, российские регионы, спортивное мега-событие, чемпионат мира по футболу 2018Аннотация
Исследуется эффективность гостиниц, хостелов и других коллективных средств размещения (КСР) в разрезе регионов России и оцениваются изменения в уровне технической эффективности, которые могли иметь место в результате подготовки и проведения чемпионата мира по футболу 2018 г. По данным официальной статистики за 2015–2021 гг. оценивается производственная функция КСР и показатели технической эффективности до и после 2018 г. в регионах, задействованных в проведении чемпионата, и в прочих регионах. Анализ опирается на подход Schmidt, Sickles к оцениванию производственной границы и технической эффективности, который, в отличие от часто используемых параметрических моделей стохастической границы, не требует предположений о виде распределения компонент случайной ошибки регрессии. Выясняется, что изменения в относительном уровне эффективности КСР имели место, но связь этих изменений с участием региона в подготовке к чемпионату незначима. Учет этого эффекта государственными органами и местными сообществами при планировании мега-событий поможет лучше оценить отдачу и ожидания от вложенных инвестиций.Скачивания
Библиографические ссылки
Агеев В.И., Алтухов С.В. (2018). Сравнительный анализ расходов и экономического эффекта чемпионатов мира по футболу (1998–2018). Журнал Новой экономической ассоциации, 4 (40), 158–167. DOI: 10.31737/2221-2264-2018-40-4-7.
Бутаева К.О., Вебер Ш., Давыдов Д.В. (2018). Анализ эффективности проведения спортивных мега-событий: взгляд экономистов. Вопросы экономики, 7, 149–160. DOI: 10.32609/0042-8736-2018-7-149-160.
Драпкин И.М., Лукьянов С.А. (2019). Эффекты от проведения спортивных мега-событий на приток прямых иностранных инвестиций: результаты эмпирического анализа. Вестник МГИМО Университета, 12 (6), 167–187. DOI: 10.24833/2071-8160-2019-6-69-167-187.
Итоговый отчет Оргкомитета о ЧМ-2018 в России. (2018). Российский футбольный союз. 17 октября 2018. https://rfs.ru/news/208313?mobile=yes.
Малахов Д.И., Пильник Н.П. (2013). Методы оценки показателя эффективности в моделях стохастической производственной границы. Экономический журнал Высшей школы экономики, 17 (4), 660–686.
Матеров И.С. (1981). К проблеме полной идентификации модели стохастических границ производства. Экономика и математические методы, 17 (4), 784–788.
Предводителева М.Д., Решетникова К.В., Пустов Л.Ю., Голубовская П.А. (2023). Российские туристические технологические стартапы в 2020–2023 гг.: адаптация к вызовам и перспективы развития. Российский журнал менеджмента, 21 (3), 419–439. DOI: 10.21638/spbu18.2023.306.
РБК (2018). Непредвиденные расходы: как менялась смета ЧМ-2018. https://www.rbc.ru/society/08/06/2018/5b02f8039a7947289e44a869.
Aigner D., Lovell C. A. K., Schmidt P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6 (1), 21–37.
Andersson S., Bengtsson L., Svensson Å. (2021). Mega-sport football events’ influence on destination images: A study of the of 2016 UEFA European Football Championship in France, the 2018 FIFA World Cup in Russia, and the 2022 FIFA World Cup in Qatar. Journal of Destination Marketing & Management, 19, 100536. DOI: 10.1016/j.jdmm.2020.100536.
Battese G. E, Coelli T. J. (1988). Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. Journal of Econometrics, 38 (3), 387–399.
Barajas A., Coates D., Sanchez-Fernandez P. (2016). Beyond retrospective assessment. Sport event economic impact studies as a management tool for informing event organization. European Research on Management and Business Economics, 22 (3), 124–130. DOI: 10.1016/j.iedee.2015.05.001.
Boto-García D., Santana-Gallego M. (2026). Old questions, new methods: Revisiting the economic effects of hosting mega-sport events. Tourism Management, 113, 105324. DOI: 10.1016/j.tourman.2025.105324.
Caiazza R., Audretsch D. (2015). Can a sport mega-event support hosting city’s economic, socio-cultural and political development? Tourism Management Perspectives, 14, 1–2. DOI: 10.1016/j.tmp.2015.01.001.
Driscoll J. C., Kraay A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, 80 (4), 549–560. DOI: 10.1162/003465398557825.
Dwyer L., Forsyth P., Spurr R. (2005). Estimating the impacts of special events on an economy. Journal of Travel Research, 43 (4), 351–359. DOI: 10.1177/0047287505274648.
Farrell M. J. (1957). The measurement of productive efficiency. Journal of Royal Statistical Society: Series A (General), 120 (3), 253–290. DOI: 10.2307/2343100.
Greene W. H. (2004). Distinguishing between heterogeneity and inefficiency: Stochastic frontier analysis of the World Health Organization’s panel data on national health care systems. Health Economics, 13, 959–980. DOI: 10.1002/hec.938.
Greene W. H. (2008). Econometric analysis, 7th ed. Prentice Hall.
Groznykh R., Drapkin I., Mariev O. (2018). The effects of major sports events on economic growth and foreign direct investment inflows: The results of empirical estimation. Proceedings of Economics and Finance Conferences, 6910164. International Institute of Social and Economic Sciences.
Koopmans T. C. (1951). An analysis of production as an efficient combination of activities. In: Activity Analysis of Production and Allocation, 33–97. Cowless Commission for Research in Economics. N.Y.: Wiley.
Lei C. K. (2013). Can Chinese cities achieve higher technical efficiency after hosting mega events? International Journal of China Studies, 4 (1), 85–109.
Li M., Fang L., Huang X., Goh C. (2015). A spatial-temporal analysis of hotels in urban tourism destination. International Journal of Hospitality Management, 45, 34–43. DOI: 10.1016/j.ijhm.2014.11.005.
Liu H., Tsai H. (2021). A stochastic frontier approach to assessing total factor productivity change in China’s star-rated hotel industry. Journal of Hospitality & Tourism Research, 45 (1), 109–132. DOI: 10.1177/1096348020946363.
Lai K. (2018). Influence of event image on destination image: The case of the 2008 Beijing Olympic Games. Journal of Destination Marketing & Management, 7, 153–163. DOI: 10.1016/j.jdmm.2016.09.007.
Martín-Rivero R., Ledesma-Rodríguez F., Lorenzo-Alegría R. (2021). Technical efficiency and agglomeration economies in the hotel industry: Evidence from Canary Islands. Applied Spatial Analysis and Policy, 14 (4), 777–793. DOI: 10.1007/s12061-021-09376-5.
Meeusen W., van den Broeck J. (1977). Efficiency estimation from Cobb–Douglas production functions with composed error. International Economic Review, 18 (2), 435–444. DOI: 10.2307/2525757.
Mitchell H., Stewart M. F. (2015). What should you pay to host a party? An economic analysis of hosting sports mega-events. Applied Economics, 47 (15), 1550–1561. DOI: 10.1080/00036846.2014.1000522.
Parmeter C. F. (2024). A tourist in the economics of tourism: Reflections on nonparametric estimation of stochastic frontier models. Tourism Economics, 31 (1), 53–71. DOI: 10.1177/13548166241266912.
Pavlyuk D. (2011). Application of the spatial stochastic frontier model for analysis of a regional tourism sector. Transport and Telecommunication, 12 (2), 28–38.
Roche M. (2000). Mega-events and modernity: Olympics and Expos in the growth of global culture. Routledge, London.
Rojas-Méndez J. I., Davies G., Jamsawang J., Sandoval Duque J. L., Pipoli G. M. (2019). Explaining the mixed outcomes from hosting major sporting events in promoting tourism. Tourism Management, 74, 300–309. DOI: 10.1016/j.tourman.2019.04.001.
Schmidt P., Sickles R. C. (1984). Production frontier and panel data. Journal of Business & Economic Statistics, 2 (4), 367–374. DOI: 10.2307/1391278.
Sellers-Rubio R., Casado-Díaz A. B. (2018). Analyzing hotel efficiency from a regional perspective: The role of environmental determinants. International Journal of Hospitality Management, 75, 75–85. DOI: 10.1016/j.ijhm.2018.03.015.
Swart K., Moyo L. G., Hattingh C. (2019). Brand image legacies of the 2010 FIFA World Cup TM: A long-term assessment. Sport in Society, 1–16. DOI: 10.1080/17430437.2019.1619322.
Van Hecke T. (2012). Power study of ANOVA versus Kruskal–Wallis test. Journal of Statistics and Management Systems, 15 (2–3), 241–247. DOI: 10.1080/09720510.2012.10701623.
Zhou Y. (2023). The economic impact of large-scale sports events on developing countries. Advances in Economics, Management and Political Sciences, 52 (1), 177–183. DOI: 10.54254/2754-1169/52/20230716.
Ageev V. I., Altukhov S. V. (2018). Comparative analysis of costs and economic effects of the FIFA World Cups (1998–2018). Journal of the New Economic Association, 4 (40), 158–167 (in Russian). DOI: 10.31737/2221‑2264‑2018‑40‑4‑7.
Butaeva K. O., Weber S., Davydov D. V. Sports mega events effectiveness analysis: The economists’ view. Voprosy Ekonomiki, 7, 149–160 (in Russian). DOI: 10.32609/0042‑8736‑2018‑7‑149‑160.
Drapkin I. M., Lukyanov S. A. (2019). The effects of large‑scale sport events on foreign direct investment
inflows: The results of empirical estimation. MGIMO Review of International Relations, 12 (6), 167–187 (in Russian). DOI: 10.24833/2071‑8160‑2019‑6‑69‑167‑187.
Itogovy`j otchet Orgkomiteta o ChM‑2018 v Rossii. (2018). Rossijskij futbol`ny`j soyuz.17.10.2018.
https://rfs.ru/news/208313?mobile=yes (in Russian).
Malakhov D., Pilnik N. (2013). Methods of estimating of the efficiency in stochastic frontier models. HSE Economic Journal, 17 (4), 660–686 (in Russian).
Materov I. S. (1981). On full identification of stochastic production frontier model. Economics and
Mathematical Methods, 17 (4), 784–788 (in Russian).
Predvoditeleva M. D., Reshetnikova K. V., Pustov L. Y., Golubovskaya P. A. (2023). Russian travel technological startups in 2020–2023: The adaptation to challenges and development perspectives. Russian Management Journal, 21 (3). 419–439 (in Russian). DOI: 10.21638/spbu18.2023.306.
RBK (2018). Nepredvidenny`e rasxody`: kak menyalas` smeta ChM‑2018. https://www.rbc.ru/society/08/06/
2018/5b02f8039a7947289e44a869 (in Russian).
Aigner D., Lovell C. A. K., Schmidt P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6 (1), 21–37.
Andersson S., Bengtsson L., Svensson Å. (2021). Mega-sport football events’ influence on destination images: A study of the of 2016 UEFA European Football Championship in France, the 2018 FIFA World Cup in Russia, and the 2022 FIFA World Cup in Qatar. Journal of Destination Marketing & Management, 19, 100536. DOI: 10.1016/j.jdmm.2020.100536.
Battese G. E, Coelli T. J. (1988). Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. Journal of Econometrics, 38 (3), 387–399.
Barajas A., Coates D., Sanchez-Fernandez P. (2016). Beyond retrospective assessment. Sport event economic impact studies as a management tool for informing event organization. European Research on Management and Business Economics, 22 (3), 124–130. DOI: 10.1016/j.iedee.2015.05.001.
Boto-García D., Santana-Gallego M. (2026). Old questions, new methods: Revisiting the economic effects of hosting mega-sport events. Tourism Management, 113, 105324. DOI: 10.1016/j.tourman.2025.105324.
Caiazza R., Audretsch D. (2015). Can a sport mega-event support hosting city’s economic, socio-cultural and political development? Tourism Management Perspectives, 14, 1–2. DOI: 10.1016/j.tmp.2015.01.001.
Driscoll J. C., Kraay A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, 80 (4), 549–560. DOI: 10.1162/003465398557825.
Dwyer L., Forsyth P., Spurr R. (2005). Estimating the impacts of special events on an economy. Journal of Travel Research, 43 (4), 351–359. DOI: 10.1177/0047287505274648.
Farrell M. J. (1957). The measurement of productive efficiency. Journal of Royal Statistical Society: Series A (General), 120 (3), 253–290. DOI: 10.2307/2343100.
Greene W. H. (2004). Distinguishing between heterogeneity and inefficiency: Stochastic frontier analysis of the World Health Organization’s panel data on national health care systems. Health Economics, 13, 959–980. DOI: 10.1002/hec.938.
Greene W. H. (2008). Econometric analysis, 7th ed. Prentice Hall.
Groznykh R., Drapkin I., Mariev O. (2018). The effects of major sports events on economic growth and foreign direct investment inflows: The results of empirical estimation. Proceedings of Economics and Finance Conferences, 6910164. International Institute of Social and Economic Sciences.
Koopmans T. C. (1951). An analysis of production as an efficient combination of activities. In: Activity Analysis of Production and Allocation, 33–97. Cowless Commission for Research in Economics. N.Y.: Wiley.
Lei C. K. (2013). Can Chinese cities achieve higher technical efficiency after hosting mega events? International Journal of China Studies, 4 (1), 85–109.
Li M., Fang L., Huang X., Goh C. (2015). A spatial-temporal analysis of hotels in urban tourism destination. International Journal of Hospitality Management, 45, 34–43. DOI: 10.1016/j.ijhm.2014.11.005.
Liu H., Tsai H. (2021). A stochastic frontier approach to assessing total factor productivity change in China’s star-rated hotel industry. Journal of Hospitality & Tourism Research, 45 (1), 109–132. DOI: 10.1177/1096348020946363.
Lai K. (2018). Influence of event image on destination image: The case of the 2008 Beijing Olympic Games. Journal of Destination Marketing & Management, 7, 153–163. DOI: 10.1016/j.jdmm.2016.09.007.
Martín-Rivero R., Ledesma-Rodríguez F., Lorenzo-Alegría R. (2021). Technical efficiency and agglomeration economies in the hotel industry: Evidence from Canary Islands. Applied Spatial Analysis and Policy, 14 (4), 777–793. DOI: 10.1007/s12061-021-09376-5.
Meeusen W., van den Broeck J. (1977). Efficiency estimation from Cobb–Douglas production functions with composed error. International Economic Review, 18 (2), 435–444. DOI: 10.2307/2525757.
Mitchell H., Stewart M. F. (2015). What should you pay to host a party? An economic analysis of hosting sports mega-events. Applied Economics, 47 (15), 1550–1561. DOI: 10.1080/00036846.2014.1000522.
Parmeter C. F. (2024). A tourist in the economics of tourism: Reflections on nonparametric estimation of stochastic frontier models. Tourism Economics, 31 (1), 53–71. DOI: 10.1177/13548166241266912.
Pavlyuk D. (2011). Application of the spatial stochastic frontier model for analysis of a regional tourism sector. Transport and Telecommunication, 12 (2), 28–38.
Roche M. (2000). Mega-events and modernity: Olympics and Expos in the growth of global culture. Routledge, London.
Rojas-Méndez J. I., Davies G., Jamsawang J., Sandoval Duque J. L., Pipoli G. M. (2019). Explaining the mixed outcomes from hosting major sporting events in promoting tourism. Tourism Management, 74, 300–309. DOI: 10.1016/j.tourman.2019.04.001.
Schmidt P., Sickles R. C. (1984). Production frontier and panel data. Journal of Business & Economic Statistics, 2 (4), 367–374. DOI: 10.2307/1391278.
Sellers-Rubio R., Casado-Díaz A. B. (2018). Analyzing hotel efficiency from a regional perspective: The role of environmental determinants. International Journal of Hospitality Management, 75, 75–85. DOI: 10.1016/j.ijhm.2018.03.015.
Swart K., Moyo L. G., Hattingh C. (2019). Brand image legacies of the 2010 FIFA World Cup TM: A long-term assessment. Sport in Society, 1–16. DOI: 10.1080/17430437.2019.1619322.
Van Hecke T. (2012). Power study of ANOVA versus Kruskal–Wallis test. Journal of Statistics and Management Systems, 15 (2–3), 241–247. DOI: 10.1080/09720510.2012.10701623.
Zhou Y. (2023). The economic impact of large-scale sports events on developing countries. Advances in Economics, Management and Political Sciences, 52 (1), 177–183. DOI: 10.54254/2754-1169/52/20230716.
