Differences in Tourism Demand: A Comparison between Developed and Developing Economies

Authors

  • Muhammad Saeed Meo The superior College Lahore, Pakistan
  • Noman Arshed University of Management and Technology, Pakistan
  • Muhammad Shahid Pakistan Institute of Development Economics, Pakistan
  • Bello, Wasiu Oluwaseun University of Lagos, Nigeria

DOI:

https://doi.org/10.31384/jisrmsse/2020.18.2.4

Keywords:

Panel GMM, Tourism, globalization, environmental quality, tourism expenditures, panel data study

Abstract

Tourism is important in bringing a positive socioeconomic change in the form of creating jobs, increasing income and welfare. The study at hand employs the generalized method of moments approach in the course of investigating the dynamic relationship of tourism expenditures, GDP, globalization, CO2 emissions, and exchange rate with tourism demand during 1995-2014. A total of 50 countries are included in this research study, which is divided into two categories, i.e. 25 developed economies and 25 developing countries. Based on the Panel GMM estimates, for both economies and overall sample, the findings reveal a positive and a significant association between tourism expenditures, world income, globalization and GDP per capita, while there are mixed results for the real exchange rate, environment quality and government effectiveness. It can be suggested that the governance, growth, environment protection and exchange rate management policies can be tapped to boost the tourism receipts.

Downloads

Download data is not yet available.

References

Agiomirgianakis, G., Serenis, D., & Tsounis, N. (2014). Exchange rate volatility and tourist flows into Turkey. Journal of Economic Integration, 700-725.

Ahn, S. C., Lee, Y. H., & Schmidt, P. (2001). GMM estimation of linear panel data models with time-varying individual effects. Journal of Econometrics, 101(2), 219-255.

Albaladejo, I. P., & González-Martínez, M. (2019). Congestion affecting the dynamic of tourism demand: evidence from the most popular destinations in Spain. Current Issues in Tourism, 22(13), 1638-1652.

Anderson, T. W. (1951). Estimating linear restrictions on regression coefficients for multivariate normal distributions. The Annals of Mathematical Statistics, 327-351.

Arain, H., Han, L., Sharif, A., & Meo, M. S. (2020). Investigating the effect of inbound tourism on FDI: The importance of quantile estimations. Tourism Economics, 26(4), 682-703.

Arellano, M., & 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), 277-297.

Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of econometrics, 68(1), 29-51.

Arshed, N., Anwar, A., Kousar, N., & Bukhari, S. (2018). Education enrollment level and income inequality: A case of SAARC economies. Social Indicators Research, 140(3), 1211-1224.

Athanasoglou, P. P., Brissimis, S. N., & Delis, M. D. (2008). Bank-specific, industry-specific and macroeconomic determinants of bank profitability. Journal of international financial Markets, Institutions and Money, 18(2), 121-136.

Azarya, V. (2004). Globalization and international tourism in developing countries: Marginality as a commercial commodity. Current Sociology, 52(6), 949-967.

Barman, H., & Nath, H. K. (2019). What determines international tourist arrivals in India?.Asia Pacific Journal of Tourism Research, 24(2), 180-190.

Baum, C. F., Schaffer, M. E., & Stillman, S. (2003). Instrumental variables and GMM: Estimation and testing. Stata Journal, 3(1), 1-31.

Bayar, Y., & Yener, B. (2019). Political stability and tourism sector development in Mediter ranean countries: a panel cointegration and causality analysis. European Journal of Tourism Research, 21, 23-32.

Benoit, K. (2011). Linear regression models with logarithmic transformations. London School of Economics, 22(1), 23–36.

Berger, A. N. (1995). The relationship between capital and earnings in banking. Journal of Money, Credit and Banking, 27(2), 432-456.

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, 87(1), 115-143.

Bond, S. R., & Windmeijer, F. (2002). Finite sample inference for GMM estimators in linear panel data models. CEMMAP Working Paper no CWP04/02

Bond, S. R., Hoeffler, A., & Temple, J. R. (2001). GMM estimation of empirical growth models. CEPR Discussion Paper no. 3048. Retrieved from https://papers.ssrn.com/sol3/ papers.cfm?abstract_id=290522

Burns, P. M., & Novelli, M. (2008). Tourism and Mobilities: local-global connections: CABI. UK.

Chadeeand, D., & Mieczkowski, Z. (1987). An empirical analysis of the effects of the exchange rate on Canadian tourism. Journal of Travel Research, 26(1), 13-17.

Chai-Aun O., & Ahmad P. M. (2015). International Tourism Demand and Co2 Emission: A Comparison Between Developed And Developing Economies Of The World. Serials Publications. Man In India, 96(12), 5357-5371.

Chinazzi, M., Davis, J., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A., Rossi, L., Sun, K., Viboud, C., Xiong, X., Yu, H., Halloran, M.E., Longini Jr, M. & Vespignani, A. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (2019-nCoV) outbreak. The Preprint Server for Health Sciences, BMJ Yale, Retrieved from: https://www.medrxiv.org/content/10.1101/2020.02.09.20021261v1 [Access on March 3, 2020].

Cho, V. (2010). A study of the non‐economic determinants in tourism demand. International Journal of Tourism Research, 12(4), 307-320.

Competitive Enterprise Institute. (2015). The crushing burden of government regulation Retrieved 29, March, 2020, from https://cei.org/content/crushing-burden-government-regulation

Cooper, C., & Wahab, S. (2005). Tourism in the Age of Globalisation. Routledge.

Cragg, J. G., & Donald, S. G. (1993). Testing identifiability and specification in instrumental variable models. Econometric Theory, 9(2), 222-240.

Crotti, R., & Misrahi, T. (2017). The Travel & Tourism Competitiveness Report 2017. Paving the Way for a More Sustainable and Inclusive Future. In World Economic Forum: Geneva, Switzerland.

Demiroz, D., & Ongan, S. (2005). The contribution of tourism to the long-run Turkish economic growth. Ekonomický časopis, 9, 880-894.

Dreher, A. (2006). Does globalization affect growth? Evidence from a new index of globalization. Applied Economics, 38(10), 1091-1110.

Dreher, A., Gaston, N., & Martens, P. (2008). Measuring Globalisation. Gauging its Consequences Springer, New York.

Dritsakis, N. (2004). Tourism as a long-run economic growth factor: an empirical investigation for Greece using causality analysis. Tourism Economics, 10(3),305-316.

Estrada, M. A., Koutronas, E., & Lee, M. (2020). Stagpression: The economic and financial impact of Covid-19 Pandemic. Available at SSRN 3593144.

Fareed, Z., Meo, M. S., Zulfiqar, B., Shahzad, F., & Wang, N. (2018). Nexus of tourism, terrorism, and economic growth in Thailand: new evidence from asymmetric ARDL cointegration approach. Asia Pacific Journal of Tourism Research, 23(12), 1129-1141.

Garín-Munoz, T. (2006). Inbound international tourism to Canary Islands: a dynamic panel data model. Tourism Management, 27(2), 281-291.

Garin-Munoz, T., & Amaral, T. P. (2000). An econometric model for international tourism flows to Spain. Applied Economics Letters, 7(8), 525-529.

Goddard, J., Molyneux, P., & Wilson, J. O. (2004). The profitability of European banks: a cross‐sectional and dynamic panel analysis. The Manchester School, 72(3), 363-381.

Greene, W. H. (2012). Econometric Analysis, 7th Edition. Upper Saddle River, NJ: Prentice Hall.

Gujarati, D. N. (2009). Basic econometrics: Tata McGraw-Hill Education.

Hayashi, F. (2000). Econometrics. Princeton, NJ: Princeton University Press.

Hu, Y., & Ritchie, J. B. (1993). Measuring destination attractiveness: A contextual approach. Journal of travel research, 32(2), 25-34.

Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.

Investor's Business Daily. (2018). Government regulation: how much is enough? Retrieved 30, March, 2020, from https://www.investors.com/politics/government-regula-tionburden-cost/

Isik, C., Dogru, T., & Turk, E. S. (2018). A nexus of linear and non‐linear relationships between tourism demand, renewable energy consumption, and economic growth: Theory and evidence. International Journal of Tourism Research, 20(1), 38-49.

Kaufmann, D., Kraay, A., & Mastruzzi, M. (2011). The worldwide governance indicators (WGI) project. Retrieved April, 21, 2012.

Knowles, T., Diamantis, D., & El-Mourhabi, J. (2001). The Globalization of Tourism and Hospitality: A Strategic Perspective, Continuum. London.

Kozak, K. H., Graham, C. H., & Wiens, J. J. (2008). Integrating GIS-based environmental data into evolutionary biology. Trends in Ecology & Evolution, 23(3), 141-148.

Leitão, N. C. (2010). Does trade help to explain tourism demand? The case of Portugal. Theoretical and Applied Economics, 17(3), 63-74.

Mamatzakis, E., & Remoundos, P. (2003). Determinants of Greek commercial banks, 1989-2000. Spoudai, 53(1), 84-94.

Massidda, C., & Mattana, P. (2012). A SVECM analysis of the relationship between international tourism arrivals, GDP and trade in Italy. Journal of Travel Research, 52(1), 93-105.

Meo, M. S., Chowdhury, M. A. F., Shaikh, G. M., Ali, M., & Masood Sheikh, S. (2018). Asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan: new evidence from nonlinear ARDL. Asia Pacific Journal of Tourism Research, 23(4), 408-422.

Pedroni, P. (2008). Nonstationary panel data. Notes for IMF Course (not publically available).

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.

Racicot, F.-É. (2015). Engineering robust instruments for GMM estimation of panel data regression models with errors in variables: a note. Applied Economics, 47(10), 981-989.

Rasheed, R., Meo, M. S., Awan, R. U., & Ahmed, F. (2019). The impact of tourism on deficit in balance of payments of Pakistan: an application of bounds testing approach to cointegration. Asia Pacific Journal of Tourism Research, 24(4), 325-332.

Roodman, D. (2006). How to do xtabond2: An introduction to. Difference” and “System” GMM in Stata”, Center for Global Development Working Paper, 103.

Rodriguez, M. M. D., Baumann, A. A., & Schwartz, A. L. (2011). Cultural adaptation of an evidence based intervention: From theory to practice in a Latino/a community context.

American journal of community psychology, 47(1-2), 170-186.RTE (2020). How the coronavirus may hit the tourism industry, Retrieved from: https://www.rte.ie/brainstorm/2020/0303/1119857-coronavirus-tourism-ireland/[Access on March 24, 2020].

Schaffer, M. E. (2020). xtivreg2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models. Statistical Software Components, Boston College, Department of Economics.

Scott, D., Amelung, B., Becken, S., Ceron, J., Dubois, G., Gössling, S., . . . Simpson, M. (2008). Climate change and tourism: Responding to global challenges. World TourismOrganization, Madrid, 230.

Scott, D., & McBoyle, G. (2001). Using a ‘tourism climate index’ to examine the implications of climate change for climate as a tourism resource. Meteorologischen Institute Universität Freiburg, 69-88. Retrieved from http://www.mif.unifreiburg.de/ISB/ws/papers/full_report.pdf#page=73

Sharma, C., & Pal, D. (2019). Exchange Rate Volatility and Tourism Demand in India: Unraveling the Asymmetric Relationship. Journal of Travel Research. Available at https://journals.sagepub.com/doi/abs/10.1177/0047287519878516

Smeral, E. (1998). The impact of globalization on small and medium enterprises: new challenges for tourism policies in European countries. Tourism Management, 19(4), 371-380.

Song, H., & Witt, S. F. (2000). Tourism demand modelling and forecasting: Modern econometric approaches: Routledge.

Stock, J. H., & Yogo, M. (2005). Testing for weak instruments in linear IV regression. In Identification and Inference for Econometric Models: Essays in Honor of Thomas

Rothenberg, ed. D. W. K. Andrews & Stock, J. H., 80-108. Cambridge: Cambridge University Press.

Teye, V. B. (1988). Coups d'etat and African tourism: A study of Ghana. Annals of Tourism Research, 15(3), 329-356.

Theocharous, A. L., Zopiatis, A., Lambertides, N., Savva, C. S., & Mansfeld, Y. (2020). Tourism, instability and regional interdependency: Evidence from the Eastern-Mediterranean. Defence and Peace Economics, 31(3), 245-268.

Thrane, C., & Farstad, E. (2011). Domestic tourism expenditures: The non-linear effects of length of stay and travel party size. Tourism Management, 32(1), 46-52.

UNWTO. (2017). World Tourism Barometer. United Nations World Tourism Organization. Retrieved from http://cf.cdn.unwto.org/sites/all/files/pdf/unwto_barom17_03_june_ excerpt_1.pdf

WB. (2013). Africa Tourism Report 2013. World Bank. Retrieved from http://www.worldbank.org/en/region/afr/publication/africa-tourism-report-2013.

WDI. (2017). World Development Indicators. Retrieved from http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators

WTTC. (2016). Travel & Tourism Economic Impact 2016. World Travel & Tourism Council. Retrieved from https://www.wttc.org/-/media/files/reports/economic%20impact% 20research/regions%202016/world2016.pdf

Zhou, X., Santana Jiménez, Y., Pérez Rodríguez, J. V., & Hernández, J. M. (2019). Air pollution and tourism demand: A case study of Beijing, China. International Journal of Tourism Research, 21(6), 747-757

Downloads

Published

2020-12-31

How to Cite

Meo, M. S., Arshed, N., Shahid, M., & Oluwaseun, B. W. (2020). Differences in Tourism Demand: A Comparison between Developed and Developing Economies. JISR Management and Social Sciences & Economics, 18(2), 43–60. https://doi.org/10.31384/jisrmsse/2020.18.2.4

Issue

Section

Original Articles