Análisis regional del mercado peer-to-peer de alojamientos turístico en España durante la pandemia
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El objetivo de este artículo es estudiar los efectos que, a nivel regional, ha tenido la pandemia relacionada con la COVID-19 en el mercado peer-to-peer (p2p) de alojamientos turísticos en España. Nos basaremos en los datos que publica el INE a partir de la información suministrada por plataformas digitales que operan en dicho mercado. La técnica utilizada será el análisis shift-share que, en nuestro caso, consistirá en la descomposición del decremento que han experimentado las pernoctaciones en 2020, respecto a 2019, en las distintas Comunidades Autónomas españolas. Los resultados confirman que las pernoctaciones disminuyeron en primer año de la pandemia casi un 60 % en el mercado p2p en España con un impacto desigual a nivel regional. Aunque en todas las Comunidades Autónomas disminuyó el número de pernoctaciones las diferencias son apreciables. Asimismo, en todas las Comunidades ha aumentado el peso que representan las pernoctaciones de los residentes en España respecto al total, lo cual es compatible con la hipótesis de que los turistas españoles han sustituido sus viajes al extranjero por los realizados dentro del país. Por otro lado, la especialización en determinados mercados emisores no ha tenido influencia en la capacidad de una región para decrecer menos en ese mercado que la media nacional, es decir, no existe, con carácter general, una relación entre especialización y ventaja competitiva. No obstante, Galicia, Cantabria y Madrid sí han decrecido menos que la media nacional en los mercados en los que estaban especializadas y más en los que no estaban especializadas.
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AirDNA (2022). Vacation Rental Data to Set You Apart. Insights to Keep You Ahead. https://www.airdna.co/
Alavi, Jafar y Yasin, Mahmoud M. (2000). Iran's tourism potential, and market realities: an empirical approach to closing the gap. Journal of Travel & Tourism Marketing, 9 (3), 1-22. https://doi.org/10.1300/J073v09n03_01
Alsudais, Abdulkareem (2021). Incorrect data in the widely used Inside Airbnb dataset. Decision Support Systems, 141, 113453. https://doi.org/10.1016/j.dss.2020.113453
Assaf, Albert y Scuderi, Raffaele (2020). COVID-19 and the recovery of the tourism industry. Tourism Economics, 26 (5), 731-733. https://doi.org/10.1177/1354816620933712
Bartels, Cornelis P.A., Nicol, William R. y Van Duijn, Jacob J. (1982). Estimating the impact of regional policy: A review of applied research methods. Regional Science and Urban Economics, 12 (1), 3-41. https://doi.org/10.1016/0166-0462(82)90013-8
Benítez, José J. y Cabrera, Susana (2011). Análisis del turismo nacional en las comunidades autónomas peninsulares españolas: especialización y ventaja competitiva. Investigaciones Regionales, 20, 29–49. http://www.redalyc.org/articulo.oa?id=28920705002
Benítez-Aurioles, Beatriz (2020a). Tourism Resilience Patterns in Southern Europe. Tourism Analysis, 25 (4), 409-424. https://doi.org/10.3727/108354220X16010020096118
Benítez-Aurioles, Beatriz (2020b). The exhaustion of the herding effect in peer-to-peer accommodation. Tourism Economics, 1354816620946537. https://doi.org/10.1177/1354816620946537
Benítez-Aurioles, Beatriz (2020c). El mercado peer-to-peer de alojamientos turísticos en Euskadi y su impacto sobre los hoteles. Ekonomiaz: Revista vasca de economía, 98, 252-277. https://www.euskadi.eus/web01-a2reveko/es/k86aEkonomiazWar/ekonomiaz/abrirArticulo?idpubl=95®istro=16
Benítez-Aurioles, Beatriz (2021a). How the peer-to-peer market for tourist accommodation has responded to COVID-19. International Journal of Tourism Cities. https://doi.org/10.1108/IJTC-07-2021-0140
Benítez-Aurioles, Beatriz (2021b). El turismo interior en España ante la crisis de la COVID-19. Boletín económico de ICE, Información Comercial Española, 3139, 43-53. https://doi.org/10.32796/bice.2021.3139.7285
Benítez‐Aurioles, Beatriz (2021c). A proposal to regulate the peer‐to‐peer market for tourist accommodation. International Journal of Tourism Research, 23 (1), 70-78. https://doi.org/10.1002/jtr.2393
Benítez-Aurioles, Beatriz (2022a). El impacto de la pandemia en el mercado de los alojamientos turísticos en España: hoteles versus alojamientos p2p. Boletín económico de ICE, Información Comercial Española, 3143, 51-64. https://doi.org/10.32796/bice.2022.3143.7345
Benítez-Aurioles, Beatriz (2022b). Resiliencia del mercado turístico urbano ante la crisis de la COVID-19. El caso de Málaga. Revista de Estudios Andaluces, 43, 71-88. https://dx.doi.org/10.12795/rea.2022.i43.04
Braje, Ivana Načinović, Pechurina, Anna, Bıçakcıoğlu-Peynirci, Nilay, Miguel, Cristina, Alonso-Almeida, María del Mar y Giglio, Carlo (2021). The changing determinants of tourists’ repurchase intention: the case of short-term rentals during the COVID-19 pandemic. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-04-2021-0438
Bresciani, Stefano, Ferraris, Alberto, Santoro, Gabriele, Premazzi, Katia, Quaglia, Roberto, Yahiaoui, Dorra y Viglia, Giampaolo (2021). The seven lives of Airbnb. The role of accommodation types. Annals of Tourism Research, 88, 103170. https://doi.org/10.1016/j.annals.2021.103170
Cardoso, Miguel, Carta, Giancarlo, Domenech, Rafael y Más, Pilar (2021). Los efectos económicos del COVID-19: la heterogeneidad sectorial y regional. Información Comercial Española, ICE: Revista de economía, 923, 105-127. https://doi.org/10.32796/ice.2021.923.7323
Chen, Guangwu, Cheng, Mingming, Edwards, Deborah y Xu, Lixiao (2020). COVID-19 pandemic exposes the vulnerability of the sharing economy: a novel accounting framework. Journal of Sustainable Tourism, 1-18. https://doi.org/10.1080/09669582.2020.1868484
Chunyun, Shi, Jie, Zhang, Yang, Yang y Zhang, Zou (2007). Shift-share analysis on international tourism competitiveness – a case of Jiangsu Province. Chinese Geographical Science, 17 (2), 173–178. https://doi.org/10.1007/s11769-007-0173-2
Creamer, Daniel (1943). Shifts of Manufacturing Industries. En E. Glenn (Ed.), Industrial Location and National Resources (pp. 85–104). Washington, D.C.: McLaughlin.
Dunn, Edgar S. (1960). A statistical and analytical technique for regional analysis. Papers in Regional Science, 6 (1), 97–112. https://doi.org/10.1111/j.1435-5597.1960.tb01705.x
Duro, Juan A., Perez-Laborda, Alejandro, Turrion-Prats, Judith y Fernández-Fernández, Melchor (2021). Covid-19 and tourism vulnerability. Tourism Management Perspectives, 38, 100819. https://doi.org/10.1016/j.tmp.2021.100819
Esteban-Marquillas, Joan M. (1972). I. A reinterpretation of shift-share analysis. Regional and urban economics, 2 (3), 249-255. https://doi.org/10.1016/0034-3331(72)90033-4
Eugenio-Martin, Juan L., Cazorla-Artiles, José M. y González-Martel, Christian (2019). On the determinants of Airbnb location and its spatial distribution. Tourism Economics, 25 (8), 1224-1244. https://doi.org/10.1177/1354816618825415
Europena Comission (2020). Commission reaches agreement with collaborative economy platforms to publish key data on tourism accommodation. https://ec.europa.eu/commission/presscorner/detail/en/ip_20_194
Eurostat (2021a). Collaborative Economy Platforms. https://ec.europa.eu/eurostat/web/experimental-statistics/collaborative-economy-platforms
Eurostat (2021b). Experimental statistics — Overview. https://ec.europa.eu/eurostat/en/web/experimental-statistics
Farmaki, Anna, Miguel, Cristina, Drotarova, Maria H., Aleksić, Ana, Časni, Anita Č. y Efthymiadou, Fani (2020). Impacts of Covid-19 on peer-to-peer accommodation platforms: Host perceptions and responses. International Journal of Hospitality Management, 91, 102663. https://doi.org/10.1016/j.ijhm.2020.102663
Farzanegan, Mohammad R., Gholipour, Hassan F., Feizi, Mehdi, Nunkoo, Robin y Andargoli, Amir E. (2021). International tourism and outbreak of coronavirus (COVID-19): A cross-country analysis. Journal of Travel Research, 60 (3), 687-692. https://doi.org/10.1177/0047287520931593
Firgo, Matthias y Fritz, Oliver (2017). Does having the right visitor mix do the job? Applying an econometric shift-share model to regional tourism developments. The Annals of Regional Science, 58(3), 369–390. https://doi.org/10.1007/s00168-016-0803-4
Franklin, Rachel y Plane, David A. (2004). A Shift‐Share Method for the Analysis of Regional Fertility Change: An Application to the Decline in Childbearing in Italy, 1952–1991. Geographical Analysis, 36(1), 1-20. https://doi.org/10.1111/j.1538-4632.2004.tb01120.x
Fuchs, Matthias, Rijken, Lennaert, Peters, Mike y Weiermair, Klaus (2000). Modelling Asian incoming tourism: A shift‐share approach. Asia Pacific Journal of Tourism Research, 5 (2), 1-10. https://doi.org/10.1080/10941660008722067
Fuchs, Victor R. (1959). Changes in U. S. Manufacturing Since 1929. Journal of Regional Science, 1(2), 2–17. https://doi.org/10.1111/j.1467-9787.1959.tb01455.x
Gerwe, Oksana (2021). The Covid-19 pandemic and the accommodation sharing sector: Effects and prospects for recovery. Technological Forecasting and Social Change, 167, 120733. https://doi.org/10.1016/j.techfore.2021.120733
Grossi, Luigi y Mussini, Mauro (2018). A spatial shift-share decomposition of electricity consumption changes across Italian regions. Energy Policy, 113, 278-293. https://doi.org/10.1016/j.enpol.2017.10.043
Gyódi, Kristóf (2021). Airbnb and hotels during COVID-19: different strategies to survive. International Journal of Culture, Tourism and Hospitality Research. https://doi.org/10.1108/IJCTHR-09-2020-0221
Hall, C. Michel, Scott, Daniel y Gössling, Stefan (2020). Pandemics, transformations and tourism: be careful what you wish for. Tourism Geographies, 22 (3), 577-598. https://doi.org/10.1080/14616688.2020.1759131
Higgins-Desbiolles, Freya (2020). The “war over tourism”: challenges to sustainable tourism in the tourism academy after COVID-19. Journal of Sustainable Tourism, 29 (4), 551-569. https://doi.org/10.1080/09669582.2020.1803334
Huang, Arthur, Makridis, Christos, Baker, Mark, Medeiros, Marcos y Guo, Zhishan (2020). Understanding the impact of COVID-19 intervention policies on the hospitality labor market. International Journal of Hospitality Management, 91, 102660. https://doi.org/10.1016/j.ijhm.2020.102660
INE (2020). Medición del número de viviendas turísticas en España y su capacidad. https://ine.es/experimental/viv_turistica/exp_viv_turistica_proyecto.pdf
INE (2021a): Estimación de la ocupación en alojamientos turísticos y otros alojamientos de corta estancia (grupo 55.2 de la CNAE-2009) a partir de información suministrada por plataformas digitales. Proyecto técnico. https://ine.es/experimental/ocupacion/exp_ocupacion_plataforma.pdf
INE (2021b). Encuesta de Ocupación Hotelera. https://ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736177015&menu=ultiDatos&idp=1254735576863
INE (2022). Estimación de la ocupación en alojamientos turísticos a partir de datos de plataformas digitales. https://www.ine.es/experimental/ocupacion/experimental_ocupacion.htm
InsideAirbnb (2022). About Inside Airbnb. http://insideairbnb.com/about.html
Jang, Seongsoo y Kim, Jinwon (2022). Remedying Airbnb COVID-19 disruption through tourism clusters and community resilience. Journal of Business Research, 139, 529-542. https://doi.org/10.1016/j.jbusres.2021.10.015
Jang, Seongsoo, Kim, Jungkeun, Kim, Jinwon y Kim, Seongseop S. (2021). Spatial and experimental analysis of peer-to-peer accommodation consumption during COVID-19. Journal of Destination Marketing & Management, 20, 100563. https://doi.org/10.1016/j.jdmm.2021.100563
Jeffrey, Douglas y Hubbard, Nick J. (1994). Spatial-temporal patterns in the English hotel and tourist industries: a time series analysis of competitive occupancy performance at the individual hotel level. Geoforum, 25 (1), 73-86. https://doi.org/10.1016/0016-7185(94)90007-8
Jiménez, Juan L., Ortuño, Armando y Pérez-Rodríguez, Jorge V. (2021). How does AirBnb affect local Spanish tourism markets? Empirical Economics, 1-31. https://doi.org/10.1007/s00181-021-02107-2
Johnson, Peter (2004). Differences in regional firm formation rates: a decomposition analysis. Entrepreneurship Theory and Practice, 28 (5), 431-446. https://doi.org/10.1111/j.1540-6520.2004.00056.x
Jones, J. Harry (1940). Appendix II: A memorandum on the location of industry. In M. Barlow (Ed.), Report of the Royal Commission on the Distribution of the Industrial Population (Barlow Report), His Majesty's Stationery Office, Cmnd 6135 (pp. 249–280). London: Ministry of Housing and Local Government.
Kaczmarek, Tomasz, Perez, Katarzyna, Demir, Ender y Zaremba, Adam (2021). How to survive a pandemic: The corporate resiliency of travel and leisure companies to the COVID-19 outbreak. Tourism Management, 84, 104281. https://doi.org/10.1016/j.tourman.2020.104281
Khan, Aasif, Bibi, Sughra, Lyu, Jiaying, Latif, Abdul y Lorenzo, Ardito (2021). COVID-19 and sectoral employment trends: assessing resilience in the US leisure and hospitality industry. Current Issues in Tourism, 24 (7), 952-969. https://doi.org/10.1080/13683500.2020.1850653
Krabokoukis, Thomas y Polyzos, Serafeim (2021). Spatial inequalities of tourist activity in Greece: a Shift-Share analysis. Anatolia, 32 (1), 93-105. https://doi.org/10.1080/13032917.2020.1851271
Lahr Michael L. y Ferreira João P. (2020). A Reconnaissance Through the History of Shift-Share Analysis. In: Fischer M., Nijkamp P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60723-7_134
Lee, Chien-Chiang y Chen, Mei-Ping (2020). The impact of COVID-19 on the travel and leisure industry returns: Some international evidence. Tourism Economics, 1354816620971981. https://doi.org/10.1177/1354816620971981
Li, Zhiyong, Zhang, Shan, Liu, Xinyi, Kozak, Metin y Wen, Jun (2020). Seeing the invisible hand: Underlying effects of COVID-19 on tourists’ behavioral patterns. Journal of Destination Marketing & Management, 18, 100502. https://doi.org/10.1016/j.jdmm.2020.100502
Liang, Shuai, Leng, Hong, Yuan, Qing y Yuan, Chao (2021). Impact of the COVID-19 pandemic: Insights from vacation rentals in twelve mega cities. Sustainable Cities and Society, 74, 103121. https://doi.org/10.1016/j.scs.2021.103121
Llaneza Catalina y Raya, Josep M. (2021). The effect of COVID-19 on the peer-to-peer rental market. Tourism Economics, 13548166211044229. https://doi.org/10.1177/13548166211044229
Loveridge, Scott y Selting, Anne C. (1998). A review and comparison of shift-share identities. International Regional Science Review, 21 (1), 37-58. https://doi.org/10.1177/016001769802100102
MacDougall, George D. A. (1940). Inter-war population changes in town and country. Journal of Royal Statistical Society, 103 (1), 30–60. https://doi.org/10.2307/2980550
Matlaba, Valente J., Holmes, Mark, McCann, Philip y Poot, Jacques (2014). Classic and spatial shift-share analysis of state-level employment change in Brazil. In K. Kourtit P. Nijkamp & R. Stimson (Eds.), Applied Regional Growth and Innovation Models (pp. 139–172). Advances in Spatial Science (The Regional Science Series). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-37819-5_7
Montanía, Claudia V., Márquez, Miguel A., Fernández‐Núñez, Teresa y Hewings, Geoffrey J. (2021). Spatial shift‐share analysis: Some new developments. Papers in Regional Science, 100 (2), 305-325. https://doi.org/10.1111/pirs.12575
Nazara, Suahasil y Hewings, Geoffrey J.D. (2004). Spatial structure and taxonomy of decomposition in shift-share analysis. Growth and Change, 35 (4), 476– 490. https://doi.org/10.1111/j.1468-2257.2004.00258.x
Perloff, Harvey S., Dunn, Edgar S., Lampard, Eric E. y Muth, Richard F. (1960). Regions, Resources, and Economic Growth. Baltimore, MD: Johns Hopkins University Press.
Prades-Illanes, Elvira y Tello-Casas, Patrocinio (2020). Heterogeneidad en el impacto económico del Covid-19 entre regiones y países del área del euro. Boletín Económico, 2, 1-18. https://repositorio.bde.es/bitstream/123456789/12701/1/be2002-art17.pdf
Qiu, Richard T.R., Park, Jinah, Li, ShiNa y Song, Haiyan (2020). Social costs of tourism during the COVID-19 pandemic. Annals of Tourism Research, 84, 102994. https://doi.org/10.1016/j.annals.2020.102994
Seyitoğlu, Faruk y Ivanov, Stanislav (2021). Service robots as a tool for physical distancing in tourism. Current Issues in Tourism, 24 (12), 1631-1634. https://doi.org/10.1080/13683500.2020.1774518
Sharma, Abhinav y Nicolau, Juan L. (2020). An open market valuation of the effects of COVID-19 on the travel and tourism industry. Annals of Tourism Research, 83, 102990. https://doi.org/10.1016/j.annals.2020.102990
Škare, Marinko, Soriano, Domingo R. y Porada-Rochoń, Małgorzata (2021). Impact of COVID-19 on the travel and tourism industry. Technological Forecasting and Social Change, 163, 120469. https://doi.org/10.1016/j.techfore.2020.120469
Sobral, Filipe, Peci, Alketa y Souza, Gustavo (2007). An analysis of the dynamics of the tourism industry in Brazil: challenges and recommendations. International Journal of Contemporary Hospitality Management, 19 (6), 507-512. https://doi.org/10.1108/09596110710775165
Toh, Rex S., Khan, Habibullah y Lim, Lay-Ling (2004). Two-Stage Shift-Share Analyses of Tourism Arrivals and Arrivals by Purpose of Visit: The Singapore Experience. Journal of Travel Research, 43 (1), 57-66. https://doi.org/10.1177/0047287504265513
Tran, Bao-Linh, Chen, Chi-Chung, Tseng, Wei-Chun y Liao, Shu-Yi (2020). Tourism under the early phase of COVID-19 in four APEC economies: An estimation with special focus on SARS experiences. International Journal of Environmental Research and Public Health, 17 (20), 7543. https://doi.org/10.3390/ijerph17207543
UNWTO (2021). 2020: Worst year in tourism history with 1 billion fewer international arrivals. https://www.unwto.org/news/2020-worst-year-in-tourism-history-with-1-billion-fewer-international-arrivals
Vu, Jo C. y Turner, Lindsay (2009). The economic structure of world tourism. Tourism Economics, 15(1), 5-21. https://doi.org/10.5367/000000009787536717
Yang, Yang, Zhang, Carol X. y Rickly, Jillian M. (2021). A review of early COVID-19 research in tourism: Launching the Annals of Tourism Research's Curated Collection on coronavirus and tourism. Annals of Tourism Research, 91, 103313. https://doi.org/10.1016/j.annals.2021.103313
Yang, Yang, Zhang, Hongru y Chen, Xiang (2020). Coronavirus pandemic and tourism: Dynamic stochastic general equilibrium modeling of infectious disease outbreak. Annals of tourism research, 83, 102913. https://doi.org/10.1016/j.annals.2020.102913
Yasin, Mahmoud, Alavi, Jafar, Sobral, Filipej y Lisboa, João (2004). A Shift-Share Analysis Approach to Understanding the Dynamic of the Portuguese Tourism Market. Journal of Travel & Tourism Marketing, 17 (4), 11–22. https://doi.org/10.1300/J073v17n04_02
Zhang, Mo, Geng, Ruoqi, Huang, Yuan y Ren, Shengce (2021). Terminator or accelerator? Lessons from the peer-to-peer accommodation hosts in China in responses to COVID-19. International Journal of Hospitality Management, 92, 102760. https://doi.org/10.1016/j.ijhm.2020.102760