Demanda turística en México de las economías de APEC: Un análisis de datos de panel (2007-2019)
DOI:
https://doi.org/10.53897/RevPortes.2023.1.1Palabras clave:
efecto boca a boca, SYS-GMM, datos panel dinámicos, precios relativos, distanciaResumen
Este trabajo estudia los principales determinantes de la demanda turística de las economías de la APEC en México. El análisis de datos panel es utilizado. La evidencia muestra el efecto de boca a boca, los precios relativos y la distancia sobre la demanda turística en todos los casos. La variable ingresos afecta en las economías desarrolladas y en desarrollo, mientras que la capacidad de alojamiento fue significativa en la muestra completa y en las economías en desarrollo. Esta investigación contribuye al conocimiento sobre las principales variables que influyen en la demanda de turismo en México. Finalmente, se concluye que los turistas comparten experiencias y que tanto el ingreso como los precios siguen siendo factores que inciden en la decisión de viajar.
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Akadiri, S. saint, Alola, A. A., y Uzuner, G. (2019). Economic policy uncertainty and tourism: evidence from the heterogeneous panel. Current Issues in Tourism, 0(0), 1-8.
Arellano, M., y Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 58(2), 277. https://doi.org/10.2307/2297968
Arellano, M., y Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29-51. https://doi.org/10.1016/0304-4076(94)01642-D
APEC. (2019). State of APEC Tourism Report 2019. APEC.
APEC. (2020). Chinese Taipei Contributes to Inclusive and Sustainable Growth Initiatives. APEC. Recuperado de https://www.apec.org/Press/News-Releases/2020/1104_CT
APEC. (2021a). History . APEC. Recuperado de https://www.apec.org/about-us/about-apec/history
APEC. (2021b). Statement on the passing of former Australian Prime Minister Bob Hawke. APEC. Recuperado de https://www.apec.org/About-Us/APEC-Secretaríat/Executive- Director/Views/20190517_statement
APEC. (2021c). Key Indicators Database Results (International Tourism Arrivals, in thousands). APEC. Recuperado de http://statistics.apec.org/index.php/key_indicator/kid_result /18
Banco de México. (2020). Sistema de información económica. Recuperado de https://www.banxico.org.mx/SieInternet/consultarDirectorioInternetAction.do?accion=consultarCuadroAnalitico&idCuadro=CA198§or=1&locale=es
Blundell, R., y Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143. https://doi.org/10.1016/S0304-4076(98)00009-8
Bonham, C., Gangnes, B., y Zhou, T. (2009). Modeling tourism: A fully identified VECM approach. International Journal of Forecasting, 25(3), 531-549. https://doi.org/10.1016/j.ijforecast.2008.11.014
Brida, J. G., Cortes-Jimenez, I., y Pulina, M. (2016). Has the tourism-led growth hypothesis been validated? A literature review. Current Issues in Tourism, 19(5), 394-430. https://doi.org/10.1080/13683500.2013.868414
Brida, J. G., Matesanz Gómez, D., y Segarra, V. (2020). On the empirical relationship between tourism and economic growth. Tourism Management, 81(January). https://doi.org/10.1016/j.tourman.2020.104131
Candela, G., y Figini, P. (2012). The Economics of Tourism Destinations. Springer. http://www.springer.com/series/10099. https://doi.org/10.1007/978-3-642-20874-4
Chen, C. M., Hua, K. T., Chyou, J. T., y Tai, C. C. (2018). The effect of economic policy uncertainty on hotel room demand-evidence from Mainland Chinese and Japanese tourists in Taiwan. Current Issues in Tourism, 23(12), 1443-1448. https://doi.org/10.1080/13683500.2018.1556621
de Vita, G., y Kyaw, K. S. (2016). Tourism development and growth. Annals of Tourism Research, 60, 23-26. https://doi.org/10.1016/j.annals.2016.05.011
Dogru, T., y Bulut, U. (2018). Is tourism an engine for economic recovery? Theory and empirical evidence. Tourism Management, 67, 425-434. https://doi.org/10.1016/j.tourman.2017.06.014
Falk, M. (2015). The sensitivity of tourism demand to exchange rate changes: an application to Swiss overnight stays in Austrian mountain villages during the winter season. Current Issues in Tourism, 18(5), 465-476. https://doi.org/10.1080/13683500.2013.810610
Federal Reserve Bank of St. Louis FRED. (2020). US Dollar to National Currency Spot Exchange Rate. Recuperado de https://fred.stlouisfed.org/series
Fletcher, J., Fyall, A., Gilbert, D., y Wanhill, S. (2018). Tourism principles and practice (Sixth). Pearson. www.pearson.com/uk
Gallego, Á., Rodríguez-Serrano, M. Á., y Casanueva, C. (2019). Dynamic panel data models in tourism. Current Issues in Tourism, 22(4), 379-399. https://doi.org/10.1080/13683500.2018.1467386
Ghaderi, Z., Saboori, B., y Khoshkam, M. (2017). Does security matter in tourism demand? Current Issues in Tourism, 20(6), 552-565. https://doi.org/10.1080/13683500.2016.1161603
Habibi, F. (2017). The determinants of inbound tourism to Malaysia: a panel data analysis. Current Issues in Tourism, 20(9), 909-930. https://doi.org/10.1080/13683500.2016.1145630
Harb, G., y Bassil, C. (2018). Gravity analysis of tourism flows and the 'multilateral resistance to tourism.' Current Issues in Tourism, 23(6), 666-678. https://doi.org/10.1080/13683500.2018.1544612
Hausman, J. A., y Taylor, W. E. (1981). Panel Data and Unobservable Individual Effects. Econometrica, 49(6), 1377. https://doi.org/10.2307/1911406
Hooper, J. (2014). A destination too far? Modelling destination accessibility and distance decay in tourism. GeoJournal, 80(1), 33-46. https://doi.org/10.1007/s10708-014-9536-z
Hu, M., y Song, H. (2019). Data source combination for tourism demand forecasting. Tourism Economics, 2017. https://doi.org/10.1177/1354816619872592
Husein, J., y Kara, S. M. (2020). Nonlinear ARDL estimation of tourism demand for Puerto Rico from the USA. Tourism Management, 77(May 2019), 103998. https://doi.org/10.1016/j.tourman.2019.103998
Instituto Nacional de Estadística y Geografía. (2018). Oferta y Demanda Global Trimestral. Recuperado de https://www.inegi.org.mx/temas/ofyd/
Khoshnevis Yazdi, S., y Khanalizadeh, B. (2017). Tourism demand: a panel data approach. Current Issues in Tourism, 20(8), 787-800. https://doi.org/10.1080/13683500.2016.1170772
Narayan, P., y Smyth, R. (2007). Are shocks to energy consumption permanent or temporary? Evidence from 182 countries. Energy Policy, 35(1), 333-341. https://doi.org/10.1016/j.enpol.2005.11.027
Lim, C. (2006). A survey of tourism demand modelling practice: issues and implications. In International Handbook on the Economics of Tourism (pp. 46-78). Edward Elgar. https://doi.org/10.4337/9781847201638.00008
Liu, A., y Wu, D. C. (2019). Tourism productivity and economic growth. Annals of Tourism Research, 76(April), 253-265. https://doi.org/10.1016/j.annals.2019.04.005
Liu, Y., Li, Y., y Li, L. (2018). A panel data-based analysis of factors influencing market demand for Chinese outbound tourism. Asia Pacific Journal of Tourism Research, 23(7), 667-676. https://doi.org/10.1080/10941665.2018.1486863
Liu, Y., Li, Y., y Parkpian, P. (2018). Inbound tourism in Thailand: Market form and scale differentiation in ASEAN source countries. Tourism Management, 64, 22-36. https://doi.org/10.1016/j.tourman.2017.07.016
Lorenzini, E., Pisati, M.Y Pompili, T. (2014). Determinants of international tourist choices in Italian provinces: a joint demand-supply approach with spatial effects, ERSA conference papers, European Regional Science Association, https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa14p862.
Martins, L. F., Gan, Y., y Ferreira-Lopes, A. (2017). An empirical analysis of the influence of macroeconomic determinants on World tourism demand. Tourism Management, 61, 248-260. https://doi.org/10.1016/j.tourman.2017.01.008
Massidda, C., y Etzo, I. (2012). The determinants of Italian domestic tourism: A panel data analysis. Tourism Management, 33(3), 603-610. https://doi.org/10.1016/j.tourman.2011.06.017
McKercher, B., y Mak, B. (2019). The impact of distance on international tourism demand. Tourism Management Perspectives, 31(March), 340-347. https://doi.org/10.1016/j.tmp.2019.07.004
Muryani, Permatasari, M. F., y Esquivias, M. A. (2020). Determinants of tourism demand in Indonesia: A panel data analysis. Tourism Analysis, 25(1), 77-89. https://doi.org/10.3727/108354220X15758301241666
Naudé, W. A., y Saayman, A. (2005). Determinants of tourist arrivals in Africa: A panel data regression analysis. Tourism Economics, 11(3), 365-391. https://doi.org/10.5367/000000005774352962
Newey, W. K., y West, K. D. (1994). Automatic lag selection in covariance matrix estimation. Review of Economic Studies, 61(4). https://doi.org/10.2307/2297912
Nguyenhuu, T., y Örsal, D. D. K. (2020). A new and benign hegemon on the horizon? The chinese century and growth in the global south. Economics, 14, 1-34. https://doi.org/10.5018/economics-ejournal.ja.2020-12
Ongan, S., Işik, C., y Özdemir, D. (2017). The Effects of Real Exchange Rates and Income on International Tourism Demand for the USA from Some European Union Countries. Economies, 5(4), 51. https://doi.org/10.3390/economies5040051
Ouerfelli, C. (2008). Co-integration analysis of quarterly European tourism demand in Tunisia. Tourism Management, 29(1), 127-137. https://doi.org/10.1016/j.tourman.2007.03.022
Panosso Netto, A., y Lohmann, G. (2016). Tourism Theory: Concepts, Models and System. CABI.
Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and Statistics, 83(4). https://doi.org/10.1162/003465301753237803
Pesaran, M. H. (2004). General Diagnostic Test for Cross Section Dependence in Panels (Vol. 3). Journal of Applied Econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951
Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951
Pesaran, M. H., y Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79-113. https://doi.org/10.1016/0304-4076(94)01644-F
Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9(1), 86-136. https://doi.org/10.1177/1536867X0900900106
Santana-Gallego, M., Ledesma-Rodríguez, F. J., y Pérez-Rodríguez, J. v. (2016). International trade and tourism flows: An extension of the gravity model. Economic Modelling, 52, 1026-1033. https://doi.org/10.1016/j.econmod.2015.10.043
Sargan, J. D. (1958). The Estimation of Economic Relationships using Instrumental Variables. Econometrica, 26(3), 393-415. https://doi.org/10.2307/1907619
Secretaría de Turismo (2020). La actividad turística en México hoy tiene una nueva dimensión social.
Secretaría de Turismo-DATATUR (2018). Compendio Estadístico 2018 de la Actividad Hotelera. Recuperado de https://www.datatur.sectur.gob.mx/SitePages/ActividadHotelera.aspx
Secretaría de Turismo-DATATUR (2020). Actividad Hotelera. Recuperado de https://www.datatur.sectur.gob.mx/SitePages/ActividadHotelera.aspx
Song, H., y Witt, S. F. (2000). Tourism Demand Modelling and Forecasting: Modern Econometric Approaches. Springer.
Song, Haiyan, Li, G., Witt, S. F., y Fei, B. (2010). Tourism demand modelling and forecasting: how should demand be measured? In Tourism Economics (Vol. 16, Issue 1). https://doi.org/10.5367/000000010790872213
Tang, C. F., y Tan, E. C. (2015). Does tourism effectively stimulate Malaysia's economic growth? Tourism Management, 46(2015), 158-163. https://doi.org/10.1016/j.tourman.2014.06.020
The World Bank (2020). GDP per capita, PPP (current international $) | Data. Recuperado de https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD
Unidad de Política Migratoria Registro e Identidad de Personas. (2020). Unidad de Política Migratoria. Recuperado de http://portales.segob.gob.mx/es/PoliticaMigratoria/Series_historicas
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Wong, K. F. K., y Song, H. (2002). Tourism Forecasting and Marketing. The Haworth Hospitality Press.
World Economic Forum (2019). The Travel & Tourism Competitiveness Index 2019 dataset (version 03 September 2019).
World Tourism Organization (2019). International Tourism Highlights, 2019 Edition.
Wu, D. C., Song, H., y Shen, S. (2017). New developments in tourism and hotel demand modeling and forecasting. International Journal of Contemporary Hospitality Management, 29(1), 507-529. https://doi.org/10.1108/IJCHM-05-2015-0249
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