Ayrıştırılmış Turizm Taşımacılığının Ekolojik Ayak İzi Üzerindeki Asimetrik Etkilerinin İncelenmesi

Year 2025, Volume: 16 Issue: 46, 540 - 558, 31.05.2025

Elif Hilal Nazlıoğlu , Emre Kılıç , Ersin Yavuz

https://doi.org/10.21076/vizyoner.1560264

Abstract

Bu çalışmanın temel motivasyonu, turizm taşımacılığının çevre kirliliği üzerindeki etkisini 16 gelişmekte olan ülke için araştırmaktır. 1995-2018 döneminin incelendiği çalışmada uluslararası turist sayısı havayolu, su yolu ve karayolu olmak üzere üç kategoride ele alınmaktadır. Ekolojik ayak izi ise çevre kirliliğini temsil etmektedir. Verilerdeki asimetrik yapıyı keşfetmek için teorik bir temel sağlayan kantil eşbütünleşme testini kullanıyoruz. Sonuçlara göre, kantil yaklaşımından elde edilen eşbütünleşme ilişkilerinin sayısında geleneksel yaklaşıma kıyasla önemli bir artış söz konusudur. Uzun dönem katsayı sonuçlarına göre, uluslararası turist taşımacılığındaki artış kirliliği teşvik etmektedir. Ayrıca, değişkenler arasındaki bağlantılar kantillerde farklı davranmaktadır. Bu bağlamda, kanıtlar şokların işaretine ve boyutuna bağlı olarak asimetrik bir uyum sürecinin varlığını vurgulamaktadır. Son olarak, çalışma havayolu, su yolu ve karayolu taşımacılığı türlerinin kirlilik üzerindeki etkisinin ülkeler arasında farklılık gösterdiğini gözlemlemektedir.

Keywords

Turizm , Çevre Kirliliği , Taşımacılık , Asimetrik Kalıcılık , Kantil Eşbütünleşme

Investigating the Asymmetric Effects of Disaggregated Tourism Transportation on Ecological Footprint

Abstract

The principal motivation for the study is to investigate the effect of tourism transportation on environmental pollution for 16 emerging markets. In the study, which analyses the period 1995-2018, the number of international tourists is classified into three categories as airway, waterway, and land way. Also, the ecological footprint represents environmental pollution. The quantile cointegration test is used, which provides a theoretical basis for exploring the asymmetric structure in the data. According to the results, there is a significant increase in the number of cointegration relationships obtained from the quantile approach compared to the conventional approach. Regarding to the long-run coefficient results, the increase in international tourist transportation encourages pollution. Furthermore, the links between the variables behave differently at the quantiles. In this regard, the evidence highlights the existence of an asymmetric adjustment process conditional on the sign and size of the shocks. Finally, the paper observes that the impact of airway, waterway and land way transportation types on pollution differs across countries.

Keywords

Tourism , Environmental Pollution , Transportation , Asymmetric Persistence , Quantile Cointegration

References

• Becken, S., Simmons, D. G., & Frampton, C. (2003). Energy use associated with different travel choices. Tourism Management, 24(3), 267-277. https://doi.org/10.1016/S0261-5177(02)00066-3
• Cadarso, M. Á., Gómez, N., López, L. A., Tobarra, M. Á., & Zafrilla, J. E. (2015). Quantifying Spanish tourism's carbon footprint: the contributions of residents and visitors: a longitudinal study. Journal of Sustainable Tourism, 23(6), 922-946. https://doi.org/10.1080/09669582.2015.1008497
• Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431. https://doi.org/10.1080/01621459.1979.10482531
• Dubois, G., & Ceron, J. P. (2006). Tourism/leisure greenhouse gas emissions forecasts for 2050: Factors for change in France. Journal of Sustainable Tourism, 14(2), 172-191. https://doi.org/10.1080/09669580608669051
• Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276. https://doi.org/10.2307/1913236
• Gao, J., & Zhang, L. (2021). Exploring the dynamic linkages between tourism growth and environmental pollution: new evidence from the Mediterranean countries. Current Issues in Tourism, 24(1), 49-65. https://doi.org/10.1080/13683500.2019.1688767
• GFN. (2023). Global Footprint Network. Retrieved 3 January, 2023 from https://data.footprintnetwork.org/#/countryTrends?cn=5001&type=BCtot,EFCtot
• GFN. (2024). Global Footprint Network. Retrieved 19 December, 2024 from https://www.footprintnetwork.org/our-work/ecological-footprint/
• Gössling, S. (2013). National emissions from tourism: An overlooked policy challenge? Energy Policy, 59, 433-442. https://doi.org/10.1016/j.enpol.2013.03.058
• Gurcam, S. (2023). Determination of personal carbon footprint in aviation and tourism axis: Cappadocia Airport case. Environmental Research and Technology, 6(1), 60-67. https://doi.org/10.35208/ert.1221724
• Hunter, C., & Shaw, J. (2007). The ecological footprint as a key indicator of sustainable tourism. Tourism management, 28(1), 46-57. https://doi.org/10.1016/j.tourman.2005.07.016
• ICAO. (2023). International Civil Aviation Organization. Retrieved 10 January, 2023 from https://www.icao.int/Pages/default.aspx
• Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 163-172. https://doi.org/10.2307/1403192
• Lenzen, M., Sun, Y. Y., Faturay, F., Ting, Y. P., Geschke, A., & Malik, A. (2018). The carbon footprint of global tourism. Nature climate change, 8(6), 522-528. https://doi.org/10.1038/s41558-018-0141-x
• Li, X., Meo, M. S., Aziz, N., Arain, H., & Ferraz, D. (2022). Effects of inbound tourism on the ecological footprint. An application of an innovative dynamic panel threshold model. Frontiers in Environmental Science, 10, 910999. https://doi.org/10.3389/fenvs.2022.910999
• Lin, T. P. (2010). Carbon dioxide emissions from transport in Taiwan's national parks. Tourism Management, 31(2), 285-290. https://doi.org/10.1016/j.tourman.2009.03.009
• Liu, J., Feng, T., & Yang, X. (2011). The energy requirements and carbon dioxide emissions of tourism industry of Western China: A case of Chengdu city. Renewable and Sustainable Energy Reviews, 15(6), 2887-2894. https://doi.org/10.1016/j.rser.2011.02.029
• Martín-Cejas, R. R., & Sánchez, P. P. R. (2010). Ecological footprint analysis of road transport related to tourism activity: The case for Lanzarote Island. Tourism Management, 31(1), 98-103. https://doi.org/10.1016/j.tourman.2009.01.007
• MSCI. (2022). Morgan Stanley Capital International. Retrieved 18 December, 2022 from https://www.msci.com/our-solutions/indexes/market-classification
• Nazlioglu, S. (2021). TSPDLIB: GAUSS Time Series and Panel Data Methods (Version 2.1). Retrieved 18 December, 2022 from https://github. com/aptech/tspdlib
• Paramati, S. R., Alam, M. S., & Chen, C. F. (2017). The effects of tourism on economic growth and CO2 emissions: a comparison between developed and developing economies. Journal of Travel Research, 56(6), 712-724. https://doi.org/10.1177/0047287516667848
• Peeters, P., & Schouten, F. (2006). Reducing the ecological footprint of inbound tourism and transport to Amsterdam. Journal of sustainable tourism, 14(2), 157-171. https://doi.org/10.1080/09669580508669050
• Portnoy, S. (1991). Asymptotic behavior of regression quantiles in non-stationary, dependent cases. Journal of Multivariate analysis, 38(1), 100-113. https://doi.org/10.1016/0047-259X(91)90034-Y
• Rico, A., Martínez-Blanco, J., Montlleó, M., Rodríguez, G., Tavares, N., Arias, A., & Oliver-Solà, J. (2019). Carbon footprint of tourism in Barcelona. Tourism Management, 70, 491-504. https://doi.org/10.1016/j.tourman.2018.09.012
• Saikkonen, P. (1991). Asymptotically efficient estimation of cointegration regressions. Econometric theory, 7(1), 1-21. https://doi.org/10.1017/S0266466600004217
• Sanyé-Mengual, E., Romanos, H., Molina, C., Oliver, M. A., Ruiz, N., Pérez, M., ... & Rieradevall, J. (2014). Environmental and self-sufficiency assessment of the energy metabolism of tourist hubs on Mediterranean Islands: The case of Menorca (Spain). Energy Policy, 65, 377-387. https://doi.org/10.1016/j.enpol.2013.10.011
• Solarin, S. A. (2014). Tourist arrivals and macroeconomic determinants of CO2 emissions in Malaysia. Anatolia, 25(2), 228-241. https://doi.org/10.1080/13032917.2013.868364
• Syed, Q. R., Malik, W. S., & Chang, B. H. (2019). Volatility spillover effect of federal reserve’s balance sheet on the financial and goods markets of Indo-Pak region. Annals of Financial Economics, 14(03), 1950015. https://doi.org/10.1142/S2010495219500155
• Tang, C., Zhong, L., Fan, W., & Cheng, S. (2015, May). Energy consumption and carbon emission for tourism transport in W orld H eritage S ites: a case of the W ulingyuan area in C hina. In Natural Resources Forum, 39(2), 134-150). https://doi.org/10.1111/1477-8947.12067
• UN. (2023). United Nations, Department of Economic and Social Affairs. Retrieved 10 January, 2023 from https://sdgs.un.org/frameworks/parisagreement
• UNWTO. (2023a). World Tourism Organization, Retrieved 01 January, 2023 from https://www.unwto.org/tourism-data/global-and-regional-tourism-performance
• UNWTO. (2023b). World Tourism Organization, Retrieved 01 January, 2023 from https://www.unwto.org/Turizm-statistics/key-Turizm-statistics
• UNWTO, UNEP, and WMO. (2008). Climate change and tourism: responding to global challenges, Report of WTO Scientific Group, Paris & Madrid, 26–51.
• WB. (2023). World Bank. Retrieved 05 January, 2023 from https://databank.worldbank.org/source/world-development-indicators
• WTTC. (2022). World Travel and Tourism Council, Travel and Tourism Economic Impact Raport-2022. Retrieved 12 January, 2023 from https://wttc.org/Portals/0/Documents/Reports/2022/EIR2022-Global%20Trends.pdf
• Xiao, Z. (2009). Quantile cointegrating regression. Journal of econometrics, 150(2), 248-260. https://doi.org/10.1016/j.jeconom.2008.12.005
• Yavuz, E., Ergen, E., Avci, T., Akcay, F., & Kilic, E. (2023). Do the effects of aggregate and disaggregate energy consumption on different environmental quality indicators change in the transition to sustainable development? Evidence from wavelet coherence analysis. Environmental Science and Pollution Research, 1-21. https://doi.org/10.1007/s11356-023-30829-6
• Yavuz, E., Kılıç, E., & Akçay, F. (2024). What is the role of environmental stress on public health? Asymmetric evidence on carbon emissions, ecological footprint, and load capacity factor. Environmental Research and Technology, 7(3), 291-302. https://doi.org/10.35208/ert.1419914