Yıl: 2022 Cilt: 0 Sayı: 61 Sayfa Aralığı: 281 - 303 Metin Dili: Türkçe DOI: 10.18070/erciyesiibd.988886 İndeks Tarihi: 09-08-2022

GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ

Öz:
Bu çalışma gelen turist sayısının en fazla olduğu 10 ülkede 1995-2018 döneminde turizm ile karbon dioksit (CO2) salımı arasındaki ilişkiyi test etmeyi amaçlamaktadır. Ampirik analiz uzun dönemde turizm ve CO2 salımı arasında eşbütünleşme ilişkisi olduğunu göstermektedir. Uzun dönem katsayılarını elde etmek için Genişletilmiş Ortalama Grup (AMG) uzun dönem tahmincisi kullanılmıştır. AMG tahmincine ait sonuçlar turizmin Fransa, Çin, İtalya ve Türkiye’de CO2 salımını arttırdığını; İspanya, Amerika Birleşik Devletleri (ABD), Meksika, Almanya ve Tayland’da bu salımı azalttığını göstermektedir. Mevcut çalışmanın sonuçları, Fransa, Çin, İtalya ve Türkiye’de çevresel açıdan uluslararası turizm sektörünün ciddi bir şekilde dikkate alınması gerektiğini göstermektedir. Fourier TY Granger analizinden elde edilen sonuçlar İspanya, Türkiye ve Meksika’da turizmden CO2 salımına, Çin ve Almanya’da CO2 salımından turizme doğru ve ABD’de turizm ile CO2 salımı arasında çift yönlü bir nedensellik ilişkisi olduğunu göstermektedir. Fransa, İtalya, Tayland ve İngiltere’de herhangi bir nedensellik ilişkisine rastlanmamıştır. Panelin geneline bakıldığında ise turizm ile CO2 salımı arasında çift yönlü bir nedensellik ilişkisi olduğu görülmektedir.
Anahtar Kelime: Turizm CO2 salımı Fourier Toda-Yamamoto

THE RELATIONSHIP BETWEEN TOURISM AND CO2 EMISSION IN THE 10 COUNTRIES WITH THE HIGHEST NUMBER OF INCOMING TOURISTS: PANEL FOURIER TODA-YAMAMOTO CAUSALITY ANALYSIS

Öz:
This study aims to analyze the relationship between tourism and carbon dioxide (CO2) emissions in 10 countries with the highest number of incoming tourists during 1995-2018. The empirical analysis confirms the existence of a long-run relationship between tourism and CO2 emissions. Augmented Mean Group (AMG) is used to estimate long-term coefficients. The results of the AMG estimator show that tourism increases CO2 emissions in France, China, Italy, and Turkey, and decreases them in Spain, United States of America (USA), Mexico, Germany and Thailand. The results of this study show that the international tourism industry in France, China, Italy and Turkey needs to be taken seriously from an environmental perspective. The results of the Fourier TY Granger analysis state that a unidirectional causality relationship was found from tourism to CO2 emissions in Spain, Turkey and Mexico, from CO2 emissions to tourism in China and Germany, and a bidirectional causality relationship was found between tourism and CO2 emissions in the USA. No causal relationship was found in France, Italy, Thailand and England. Looking at the panel as a whole, it can be seen that there is a bidirectional causal relationship between tourism and CO2 emissions.
Anahtar Kelime:

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  • Akadiri, S. S., Lasisi, T. T., Uzuner, G. ve Akadiri, A. C. (2020). Examining the causal impacts of tourism, globalization, economic growth and carbon emissions in tourism island territories: bootstrap panel Granger causality analysis. Current Issues in Tourism, 23(4), 470-484.
  • Al-Mulali, U., Fereidouni, H. G. ve Lee, J. Y. (2014). Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries. Renewable and Sustainable Energy Reviews, 30, 290-298.
  • Aissa M. S., Jebli, S. ve Ben Yousse, F. M. (2014). Output, renewable energy consumption and trade in Africa. Energy Policy, 66, 11-18.
  • Bach, W. ve Gössling, S. (1996). Geographische rundschau. Geographische Rundschau, 48, 54-59.
  • Balli, E., Sigeze, C., Manga, M., Birdir, S. ve Birdir, K. (2019). The relationship between tourism, CO2 emissions and economic growth: a case of Mediterranean countries. Asia Pacific Journal of Tourism Research, 24(3), 219-232.
  • Becken, S., Frampton, C. ve Simmons, D. (2001). Energy consumption patterns in the accommodation sector-the New Zealand case. Ecological Economics, 39(3), 371-386.
  • Becken, S. (2005). Harmonising climate change adaptation and mitigation: The case of tourist resorts in Fiji. Global Environmental Change, 15(4), 381-393.
  • Becken, S. (2008). Developing indicators for managing tourism in the face of peak oil. Tourism Management, 29(4), 695-705.
  • Breusch, T. S. ve Pagan, A. R. (1980). The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), 239-253.
  • Dalton, G. J., Lockington, D. A. ve Baldock, T. E. (2008). A survey of tourist attitudes to renewable energy supply in Australian hotel accommodation. Renewable Energy, 33(10), 2174-2185.
  • Davies, T. ve Cahill, S. (2000). Environmental implications of the tourism industry (Discussion Paper No. 00-14). Washington, DC: Resources for the Future.
  • Dogan, E., Seker, F. ve Bulbul, S. (2017). Investigating the impacts of energy consumption, real GDP, tourism and trade on CO2 emissions by accounting for cross-sectional dependence: a panel study of OECD countries. Current Issues in Tourism, 20(16), 1701-1719.
  • Dwyer, L. ve Forsyth, P. (2008). Economic measures of tourism yield: What markets to target? International Journal of Tourism Research, 10, 155-168.
  • Eberhardt, M. ve Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, 515. University of Oxford, Department of Economics.
  • Emirmahmutoglu, F. ve Kose, N. (2011). Testing for Granger causality in heterogeneous mixed panels. Economic Modelling, 28(3), 870-876.
  • Enders W. ve Jones P. (2016). Grain Prices, Oil Prices, and Multiple Smooth Breaks in a VAR, Studies in Nonlinear Dynamics and Econometrics, 20(4), 399- 419.
  • Fisher, I. (1932). Booms and Depressions: Some First Principles (p. viii). New York: Adelphi Company.
  • Ghobadi, G. J. ve Verdian, M. S. (2016). The environmental effects of tourism development in Noushahr. Open Journal of Ecology, 6(9), 529-536.
  • Godil, D. I., Sharif, A., Rafique, S. ve Jermsittiparsert, K. (2020). The asymmetric effect of tourism, financial development, and globalization on ecological footprint in Turkey. Environmental Science and Pollution Research, 27(32), 40109-40120.
  • Gössling, S. (2000). Sustainable tourism development in developing countries: Some aspects of energy use. Journal of Sustainable Tourism, 8(5), 410-425.
  • Gössling, S. ve Peeters, P. (2015). Assessing tourism’s global environmental impact 1900-2050. Journal of Sustainable Tourism, 23(5), 639-659.
  • Gössling, S., Scott, D. ve Hall, C. M. (2015). Inter-market variability in CO2 emissionintensities in tourism: Implications for destination marketing and carbon management. Tourism Management, 46, 203-212.
  • Granger, C.W. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods, Econometrica: Journal of the Econometric Society, 37(3), 424-438.
  • Hall, C. M., Scott, D. ve Gössling, S. (2013). The primacy of climate change for sustainable international tourism. Sustainable Development, 21(2), 112-121.
  • Katircioglu, S. T., Feridun, M. ve Kilinc, C. (2014). Estimating tourism-induced energy consumption and CO2 emissions: The case of Cyprus. Renewable and Sustainable Energy Reviews, 29, 634-640.
  • Katircioglu, S., Gokmenoglu, K. K. ve Eren, B. M. (2018). Testing the role of tourism development in ecological footprint quality: evidence from top 10 tourist destinations. Environmental Science and Pollution Research, 25(33), 33611-33619.
  • Khan, I. ve Hou, F. (2021). The dynamic links among energy consumption, tourism growth, and the ecological footprint: the role of environmental quality in 38 IEA countries. Environmental Science and Pollution Research, 28(5), 5049- 5062.
  • Kongbuamai, N., Bui, Q., Yousaf, H. M. A. U. ve Liu, Y. (2020). The impact of tourism and natural resources on the ecological footprint: A case study of ASEAN countries. Environmental Science and Pollution Research, 27(16), 19251-19264.
  • Kongbuamai, N., Zafar, M. W., Syed, A. H. S. ve Liu, Y. (2020). Determinants of the ecological footprint in Thailand: the influences of tourism, trade openness, and population density. Environmental Science and Pollution Research, 27(32), 40171-40186.
  • Lee, J. W. ve Brahmasrene, T. (2013). Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union. Tourism Management, 38, 69-76.
  • Liu, J., Feng, T. ve 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.
  • Nathaniel, S. P., Barua, S. ve Ahmed, Z. (2021). What drives ecological footprint in top ten tourist destinations? Evidence from advanced panel techniques. Environmental Science and Pollution Research, 1-10.
  • Nazlioglu S., Gormus, N.A. ve Soytas, U. (2016). Oil Prices and Real Estate Investment Trusts (REITs): Gradual-Shift Causality and Volatility Transmission Analysis. Energy Economics, 60, 168-175.
  • Nepal, S. K. (2008). Tourism-induced rural energy consumption in the Annapurna region of Nepal. Tourism Management, 29, 89-100.Peeters, P. ve Dubois, G. (2010). Tourism travel under climate change mitigation constraints. Journal of Transport Geography, 18(3), 447-457.
  • Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Cambridge Working Papers in Economics No. 435, University of Cambridge, and CESifo Working Paper Series No. 1229.
  • 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.
  • Pesaran, M. H., Ullah, A. ve Yamagata, T. (2008). A Bias Adjusted LM Test of Error Cross Section Independence. The Econometrics Journal, 11(1), 105-127.
  • Pesaran, M. H. ve Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 142(1), 50-93.
  • Scott, D., Peeters, P. ve Gössling, S. (2010). Can tourism deliver its “aspirational” emission reduction targets? Journal of Sustainable Tourism, 18(3), 393-408.
  • Scott, D., Gössling, S. ve Hall, C. M. (2012). International tourism and climate change. Wiley Interdisciplinary Reviews: Climate Change, 3(3), 213-232.
  • Shakouri, B., Khoshnevis Yazdi, S. ve Ghorchebigi, E. (2017). Does tourism development promote CO2 emissions?. Anatolia, 28(3), 444-452.
  • Solarin, S. A. (2014). Tourist arrivals and macroeconomic determinants of CO2 emissions in Malaysia. Anatolia, 25(2), 228-241.
  • Terzi, H. ve Pata, U. K. (2016). Türkiye’nin iktisadi büyümesinde turizm sektörünün katkısı. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (48), 45-64.
  • Toda, H. Y. ve Yamamoto, T. (1995). Statistical Inference in Vector Autoregressions with Possibly Integrated Processes. Journal of Econometrics, 66(1-2), 225- 250.
  • Tsagarakis, K. P., Bounialetou, F., Gillas, K., Profylienou, M., Pollaki, A. ve Zografakis, N. (2011). Tourists’ attitudes for selecting accommodation with investments in renewable energy and energy saving systems. Renewable and Sustainable Energy Reviews, 15(2), 1335-1342.
  • United Nation Environment Programme (UNEP) 2021. Tourism. https://www.unep.org/explore-topics/resource-efficiency/what-we- do/responsible-industry/tourism
  • United Nations World Tourism Organization (UNWTO), United Nations Environmental Programme (UNEP), World Meteorological Organization (WMO). (2008). Climate change and tourism: Responding to global challenges. UNWTO: Madrid UNEP: Paris WMO: Geneva.
  • Westerlund, J. ve D.L. Edgerton. (2008). A simple test for cointegration in dependent panels with structural breaks. Oxford Bulletin of Economics and Statistics, 70 (5): 665-704.
  • World Bank Development Indicator, 2021. World Bank database. https://data.worldbank.org/indicator /NY.GDP.MKTP.KD.
  • World Travel and Tourism Council (WTTC). (2016). Travel & tourism: Economic impact 2016 United World. London: World Travel & Tourism Council.
  • Yilanci, V. ve Gorus, M. S. (2020). Does economic globalization have predictive power for ecological footprint in MENA counties? A panel causality test with a Fourier function. Environmental Science and Pollution Research, 27(32), 40552-40562.
  • Yurtkuran, S. (2020). Türkiye’de Turizmin ve Finansal Gelişmenin Ekonomik Büyümeye Katkısı: Turizme Dayalı Büyüme Hipotezi Analizi. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 8(5), 1531-1542.
APA yurtkuran s (2022). GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. , 281 - 303. 10.18070/erciyesiibd.988886
Chicago yurtkuran süleyman GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. (2022): 281 - 303. 10.18070/erciyesiibd.988886
MLA yurtkuran süleyman GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. , 2022, ss.281 - 303. 10.18070/erciyesiibd.988886
AMA yurtkuran s GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. . 2022; 281 - 303. 10.18070/erciyesiibd.988886
Vancouver yurtkuran s GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. . 2022; 281 - 303. 10.18070/erciyesiibd.988886
IEEE yurtkuran s "GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ." , ss.281 - 303, 2022. 10.18070/erciyesiibd.988886
ISNAD yurtkuran, süleyman. "GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ". (2022), 281-303. https://doi.org/10.18070/erciyesiibd.988886
APA yurtkuran s (2022). GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 0(61), 281 - 303. 10.18070/erciyesiibd.988886
Chicago yurtkuran süleyman GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 0, no.61 (2022): 281 - 303. 10.18070/erciyesiibd.988886
MLA yurtkuran süleyman GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol.0, no.61, 2022, ss.281 - 303. 10.18070/erciyesiibd.988886
AMA yurtkuran s GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2022; 0(61): 281 - 303. 10.18070/erciyesiibd.988886
Vancouver yurtkuran s GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2022; 0(61): 281 - 303. 10.18070/erciyesiibd.988886
IEEE yurtkuran s "GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ." Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 0, ss.281 - 303, 2022. 10.18070/erciyesiibd.988886
ISNAD yurtkuran, süleyman. "GELEN TURİST SAYISININ EN FAZLA OLDUĞU 10 ÜLKEDE TURİZM İLE CO2 SALIMI ARASINDAKİ İLİŞKİ: PANEL FOURİER TODA-YAMAMOTO NEDENSELLİK ANALİZİ". Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 61 (2022), 281-303. https://doi.org/10.18070/erciyesiibd.988886