Research Article
BibTex RIS Cite

Year 2025, Volume: 12 Issue: 2, 276 - 291, 13.08.2025
https://doi.org/10.26650/JEPR1582631

Abstract

References

  • Akar, G. and Sarıtaş, T. (2020). Küreselleşmenin turizme etkisi: OECD ülkeleri örneği. Turkish Studies-Economics-Finance-Politics, 15(3), 1087-1102. doi:10.47644/TurkishStudies.45461 google scholar
  • Arellano, M. and 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. doi:10.2307/2297968 google scholar
  • Arellano, M. and Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29-51. doi:10.1016/0304-4076(94)01642-D google scholar
  • Balestra, P. (2013). Introduction to the linear models for panel data. Mátyás, L., & Sevestre, P. (Eds.). The Econometrics of Panel Data: google scholar
  • Handbook of Theory and Applications (28). Springer Science & Business Media. Retrieved from https://books.google.com/ google scholar
  • Baltagi, B. H. (2005). Econometric analysis of panel data. Third Edition, Chichester: Wiley (4), 135-145. Retrieved from https://www.spss-pasw.ir/upload/images/3ax38cld271xe0bx00z.pdf google scholar
  • Bianchi, R. (2006). Tourism and the globalisation of fear: Analysing the politics of risk and (in) security in global travel. Tourism and Hospitality Research, 7(1), 64-74. doi:10.1057/palgrave.thr.6050028 google scholar
  • Blundell, R. and Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115-43. doi:10.1016/S0304-4076(98)00009-8 google scholar
  • Chen, L. and Guo, Y. (2023). Revisiting the resource extraction perspective in determining the tourism industry: Globalisation and human capital for the next 11 economies. Resources Policy, 85(2023), 103818, 1-10. doi:10.1016/j.resourpol.2023.103818 google scholar
  • Chudik, A. and Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econometrics, 188(2), 393-420. doi:10.1016/j.jeconom.2015.03.007 google scholar
  • Dalglish, C. (2006). From globalisation to the ‘global village’. Global Change, Peace & Security, 18(2), 115-121. doi:10.1080/14781150600687833 google scholar
  • Dreher, A. (2006). Does globalisation affect growth? Evidence from a new index of globalisation. Applied Economics, 38(10), 1091-1110. doi:10.1080/00036840500392078 google scholar
  • Dumitrescu, E. I. and Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460. doi:10.1016/j.econmod.2012.02.014 google scholar
  • Dwyer, L. (2015). Globalisation of tourism: Drivers and outcomes. Tourism Recreation Research, 40(3), 326-339. doi:10.1080/02508281.2015.1075723 google scholar
  • Eberhardt, M. and Presbitero, A. F. (2015). Public debt and growth: Heterogeneity a non-linearity. Journal of International Economics, 97(1), 45-58. doi:10.1016/j.jinteco.2015.04.005 google scholar
  • Fereidouni, H. G., Al-Mulali, U., Najdi, Y. (2014). Globalisation indicators–inbound tourism relationship in the MENA region. Anatolia, 25(3), 364-373. doi:10.1080/13032917.2014.882849 google scholar
  • Gengenbach, C., Urbain, J. P., Westerlund, J. (2015). Error correction testing in panels with common stochastic trends. Journal of Applied Econometrics, 31(6), 982-1004. doi:10.1002/jae.2475 google scholar
  • Gülcemal, T. (2020). The globalisation indicators and tourism development: A dynamic panel-data analysis for Mediterranean countries. google scholar
  • Journal of Business Economics and Finance, 9(3), 53-261. doi:10.17261/Pressacademia.2020.1301 google scholar
  • Gygli, S., Haelg, F., Potrafke, N., Sturm, J. E. (2019). The KOF globalisation index–revisited. The Review of International Organisations, 14, 543-574. doi:10.1007/s11558-019-09344-2 google scholar
  • Hadri, K. (2000). Testing for stationarity in the heterogeneous panel data. The Econometrics Journal, 3(2), 148-161. doi:10.1111/1368-423X.00043 google scholar
  • Haini, H., Wei Loon, P., Yong, S. K., Husseini, S. (2024). Does social globalisation affect the relationship between international tourism and economic growth? Journal of Travel Research, 63(1), 252-269. doi: 10.1177/00472875221146779 google scholar
  • Harris, R. D. and Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of Econometrics, 91(2), 201-226. doi:10.1016/S0304-4076(98)00076-1 google scholar
  • Higgins-Desbiolles, F. (2008). Justice tourism and alternative globalisation. Journal of Sustainable Tourism, 16(3), 345-364. doi:10.1080/09669580802154132 google scholar
  • Hjalager, A. M. (2007). Stages in the economic globalisation of tourism. Annals of Tourism Research, 34(2), 437-457. doi:10.1016/ j.annals.2006.10.006 google scholar
  • Holtz-Eakin, D., Newey, W., Rosen, H. (1988). Estimating vector autoregressions with panel data. Econometrica, 56(6), 1371-1395. doi:10.2307/1913103 google scholar
  • Hsiao, C. (2003). Analysis of panel data. Second Edition, Cambridge University Press. doi:10.1017/CBO9780511754203 google scholar
  • Ivanov, S. H. and Webster, C. (2013). Tourism’s impact on growth: The role of globalisation Annals of Tourism Research, 41, 231-236. doi:10.1016/j.annals.2012.12.008 google scholar
  • Javid, E. and Katircioglu, S. (2017). The globalisation indicators-tourism development nexus: A dynamic panel-data analysis. Asia Pacific Journal of Tourism Research, 22(11), 1194-1205. doi:10.1080/10941665.2017.1378240 google scholar
  • Jena, S. K., Dash, A. K., Mitra, A., Tiwari, A. K. (2022). Analysing the impact of FDI and globalisation on tourism development. Anatolia, 33(2), 277-280. doi:10.1080/13032917.2021.1954043 google scholar
  • KOF Swiss Economic Institute (2021). https://kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalization-index.html (Access Date: 29.10.2022). google scholar
  • Maddala, G. S. and Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(1), 631-652. doi:10.1111/1468-0084.0610s1631 google scholar
  • McKinsey Global Institute (2003). Offshoring and beyond. The McKinsey Quarterly, Special Edition 4. google scholar
  • Mihajlović, I. and Krželj-Čolović, Z. (2014). The impact of globalisation on the development of tourism within social and economic changes. European Scientific Journal, 2(1), 108-120. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=b06ea569 d9377ced77055924f5525ba33ad75ef7#page=120 google scholar
  • Persyn, D. and Westerlund, J. (2008). Error correction-based co-integration tests for the panel data. Stata Journal, 8(2), 232-241. doi:10.1177/1536867X0800800205 google scholar
  • Pesaran, M. H. (2004). General diagnostic tests for cross-section dependence in panels. IZA Discussion Paper, No. 1240, 1-39. doi:10.2139/ ssrn.572504 google scholar
  • Roodman, D. (2009). How to do xtabond2: An introduction to the difference and system GMM in Stata. Stata Journal, 9(1), 86-136. doi:10.1177/1536867X0900900106 google scholar
  • Saint Akadiri, S., Alola, A. A., Akadiri, A. C. (2019). The role of globalisation, real income, and tourism in the environmental sustainability target. Evidence from Turkey. Science of the Total Environment, 687, 423-432. doi:10.1016/j.scitotenv.2019.06.139 google scholar
  • Shao, Y., Huo, T., Yang, Y., Li, Z. (2023). Does economic globalisation shape the international tourism structure? A cross-national panel data estimation. Journal of Travel Research, 62(5), 1121-1139. doi:10.1177/00472875221119128 google scholar
  • Song, H., Li, G., Cao, Z. (2018). Tourism and economic globalisation: An emerging research agenda. Journal of Travel Research, 57(8), 999-1011. doi:10.1177/0047287517734943 google scholar
  • Susanto, E., Hendrayati, H., Rahtomo, R. W., Prawira, M. F. A. (2022). Adoption of digital payments for travellers at tourism destinations. African Journal of Hospitality, Tourism and Leisure, 11(2), 741-753. google scholar
  • Swamy, P. A. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38, 311-323. doi:10.2307/1913012 google scholar
  • Tolkach, D. and Pratt, S. (2021). Globalisation and cultural change in Pacific island countries: The role of tourism. Tourism Geographies, 23(3), 371-396. doi:10.1080/14616688.2019.1625071 google scholar
  • Westerlund, J. (2007). Testing for error correction in the panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748. doi:10.1111/ j.1468-0084.2007.00477.x google scholar
  • World Bank (2019). https://blogs.worldbank.org/en/home (Access Date: 27.10.2022). google scholar
  • World Bank (2022). https://data.worldbank.org/indicator (Access Date: 27.10.2022). google scholar
  • Zhang, R. (2020). Research on the relationship between residents’ income growth and tourism consumption: A case study of Wuhan. Modern Economy, 11(03), 763. doi:10.4236/me.2020.113056 google scholar
  • Zhang, W. and Chiu, Y. B. (2020). Globalisation, country risks, and trade in tourism services: Evidence from China. Sustainability, 12(14), 5869, 1-24. doi:10.3390/su12145869 google scholar

Empirical Evidence for the Relationship between Globalisation and Tourism by Country Income Groups

Year 2025, Volume: 12 Issue: 2, 276 - 291, 13.08.2025
https://doi.org/10.26650/JEPR1582631

Abstract

This study investigated the impacts of globalisation on international tourist arrivals in 72 countries between 2002 and 2019. Due to the endogeneity problem created by the mutual determination between tourism and globalisation, the two-step system generalised method of moments (GMM) was preferred to solve the problem. However, cointegration analysis was used for low-income countries because of data limitations. Again, due to data limitations, the research results are limited in terms of generalisation for the whole world. Different panel data estimators were applied to three distinct groups (33 high-income, 30 middle-income, and 9 low-income countries). The results indicate that globalisation increased the number of inbound tourists in high- and middle-income countries. That is, globalisation is one of the major driving forces behind tourism development in these countries, regardless of income level. Regarding the two-step system GMM estimations, the coefficients of the globalisation variable were 0.58 and 0.38 for the high- and middle-income country group models, respectively, whereas there was no causality between globalisation and tourist arrivals in low-income countries. These findings fill a crucial gap in the literature by offering suggestions about the strategy to adopt while producing tourism policies for countries with different income levels.

JEL Classification : Z30 , Z38 , Z39

References

  • Akar, G. and Sarıtaş, T. (2020). Küreselleşmenin turizme etkisi: OECD ülkeleri örneği. Turkish Studies-Economics-Finance-Politics, 15(3), 1087-1102. doi:10.47644/TurkishStudies.45461 google scholar
  • Arellano, M. and 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. doi:10.2307/2297968 google scholar
  • Arellano, M. and Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29-51. doi:10.1016/0304-4076(94)01642-D google scholar
  • Balestra, P. (2013). Introduction to the linear models for panel data. Mátyás, L., & Sevestre, P. (Eds.). The Econometrics of Panel Data: google scholar
  • Handbook of Theory and Applications (28). Springer Science & Business Media. Retrieved from https://books.google.com/ google scholar
  • Baltagi, B. H. (2005). Econometric analysis of panel data. Third Edition, Chichester: Wiley (4), 135-145. Retrieved from https://www.spss-pasw.ir/upload/images/3ax38cld271xe0bx00z.pdf google scholar
  • Bianchi, R. (2006). Tourism and the globalisation of fear: Analysing the politics of risk and (in) security in global travel. Tourism and Hospitality Research, 7(1), 64-74. doi:10.1057/palgrave.thr.6050028 google scholar
  • Blundell, R. and Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115-43. doi:10.1016/S0304-4076(98)00009-8 google scholar
  • Chen, L. and Guo, Y. (2023). Revisiting the resource extraction perspective in determining the tourism industry: Globalisation and human capital for the next 11 economies. Resources Policy, 85(2023), 103818, 1-10. doi:10.1016/j.resourpol.2023.103818 google scholar
  • Chudik, A. and Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econometrics, 188(2), 393-420. doi:10.1016/j.jeconom.2015.03.007 google scholar
  • Dalglish, C. (2006). From globalisation to the ‘global village’. Global Change, Peace & Security, 18(2), 115-121. doi:10.1080/14781150600687833 google scholar
  • Dreher, A. (2006). Does globalisation affect growth? Evidence from a new index of globalisation. Applied Economics, 38(10), 1091-1110. doi:10.1080/00036840500392078 google scholar
  • Dumitrescu, E. I. and Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460. doi:10.1016/j.econmod.2012.02.014 google scholar
  • Dwyer, L. (2015). Globalisation of tourism: Drivers and outcomes. Tourism Recreation Research, 40(3), 326-339. doi:10.1080/02508281.2015.1075723 google scholar
  • Eberhardt, M. and Presbitero, A. F. (2015). Public debt and growth: Heterogeneity a non-linearity. Journal of International Economics, 97(1), 45-58. doi:10.1016/j.jinteco.2015.04.005 google scholar
  • Fereidouni, H. G., Al-Mulali, U., Najdi, Y. (2014). Globalisation indicators–inbound tourism relationship in the MENA region. Anatolia, 25(3), 364-373. doi:10.1080/13032917.2014.882849 google scholar
  • Gengenbach, C., Urbain, J. P., Westerlund, J. (2015). Error correction testing in panels with common stochastic trends. Journal of Applied Econometrics, 31(6), 982-1004. doi:10.1002/jae.2475 google scholar
  • Gülcemal, T. (2020). The globalisation indicators and tourism development: A dynamic panel-data analysis for Mediterranean countries. google scholar
  • Journal of Business Economics and Finance, 9(3), 53-261. doi:10.17261/Pressacademia.2020.1301 google scholar
  • Gygli, S., Haelg, F., Potrafke, N., Sturm, J. E. (2019). The KOF globalisation index–revisited. The Review of International Organisations, 14, 543-574. doi:10.1007/s11558-019-09344-2 google scholar
  • Hadri, K. (2000). Testing for stationarity in the heterogeneous panel data. The Econometrics Journal, 3(2), 148-161. doi:10.1111/1368-423X.00043 google scholar
  • Haini, H., Wei Loon, P., Yong, S. K., Husseini, S. (2024). Does social globalisation affect the relationship between international tourism and economic growth? Journal of Travel Research, 63(1), 252-269. doi: 10.1177/00472875221146779 google scholar
  • Harris, R. D. and Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of Econometrics, 91(2), 201-226. doi:10.1016/S0304-4076(98)00076-1 google scholar
  • Higgins-Desbiolles, F. (2008). Justice tourism and alternative globalisation. Journal of Sustainable Tourism, 16(3), 345-364. doi:10.1080/09669580802154132 google scholar
  • Hjalager, A. M. (2007). Stages in the economic globalisation of tourism. Annals of Tourism Research, 34(2), 437-457. doi:10.1016/ j.annals.2006.10.006 google scholar
  • Holtz-Eakin, D., Newey, W., Rosen, H. (1988). Estimating vector autoregressions with panel data. Econometrica, 56(6), 1371-1395. doi:10.2307/1913103 google scholar
  • Hsiao, C. (2003). Analysis of panel data. Second Edition, Cambridge University Press. doi:10.1017/CBO9780511754203 google scholar
  • Ivanov, S. H. and Webster, C. (2013). Tourism’s impact on growth: The role of globalisation Annals of Tourism Research, 41, 231-236. doi:10.1016/j.annals.2012.12.008 google scholar
  • Javid, E. and Katircioglu, S. (2017). The globalisation indicators-tourism development nexus: A dynamic panel-data analysis. Asia Pacific Journal of Tourism Research, 22(11), 1194-1205. doi:10.1080/10941665.2017.1378240 google scholar
  • Jena, S. K., Dash, A. K., Mitra, A., Tiwari, A. K. (2022). Analysing the impact of FDI and globalisation on tourism development. Anatolia, 33(2), 277-280. doi:10.1080/13032917.2021.1954043 google scholar
  • KOF Swiss Economic Institute (2021). https://kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalization-index.html (Access Date: 29.10.2022). google scholar
  • Maddala, G. S. and Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(1), 631-652. doi:10.1111/1468-0084.0610s1631 google scholar
  • McKinsey Global Institute (2003). Offshoring and beyond. The McKinsey Quarterly, Special Edition 4. google scholar
  • Mihajlović, I. and Krželj-Čolović, Z. (2014). The impact of globalisation on the development of tourism within social and economic changes. European Scientific Journal, 2(1), 108-120. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=b06ea569 d9377ced77055924f5525ba33ad75ef7#page=120 google scholar
  • Persyn, D. and Westerlund, J. (2008). Error correction-based co-integration tests for the panel data. Stata Journal, 8(2), 232-241. doi:10.1177/1536867X0800800205 google scholar
  • Pesaran, M. H. (2004). General diagnostic tests for cross-section dependence in panels. IZA Discussion Paper, No. 1240, 1-39. doi:10.2139/ ssrn.572504 google scholar
  • Roodman, D. (2009). How to do xtabond2: An introduction to the difference and system GMM in Stata. Stata Journal, 9(1), 86-136. doi:10.1177/1536867X0900900106 google scholar
  • Saint Akadiri, S., Alola, A. A., Akadiri, A. C. (2019). The role of globalisation, real income, and tourism in the environmental sustainability target. Evidence from Turkey. Science of the Total Environment, 687, 423-432. doi:10.1016/j.scitotenv.2019.06.139 google scholar
  • Shao, Y., Huo, T., Yang, Y., Li, Z. (2023). Does economic globalisation shape the international tourism structure? A cross-national panel data estimation. Journal of Travel Research, 62(5), 1121-1139. doi:10.1177/00472875221119128 google scholar
  • Song, H., Li, G., Cao, Z. (2018). Tourism and economic globalisation: An emerging research agenda. Journal of Travel Research, 57(8), 999-1011. doi:10.1177/0047287517734943 google scholar
  • Susanto, E., Hendrayati, H., Rahtomo, R. W., Prawira, M. F. A. (2022). Adoption of digital payments for travellers at tourism destinations. African Journal of Hospitality, Tourism and Leisure, 11(2), 741-753. google scholar
  • Swamy, P. A. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38, 311-323. doi:10.2307/1913012 google scholar
  • Tolkach, D. and Pratt, S. (2021). Globalisation and cultural change in Pacific island countries: The role of tourism. Tourism Geographies, 23(3), 371-396. doi:10.1080/14616688.2019.1625071 google scholar
  • Westerlund, J. (2007). Testing for error correction in the panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748. doi:10.1111/ j.1468-0084.2007.00477.x google scholar
  • World Bank (2019). https://blogs.worldbank.org/en/home (Access Date: 27.10.2022). google scholar
  • World Bank (2022). https://data.worldbank.org/indicator (Access Date: 27.10.2022). google scholar
  • Zhang, R. (2020). Research on the relationship between residents’ income growth and tourism consumption: A case study of Wuhan. Modern Economy, 11(03), 763. doi:10.4236/me.2020.113056 google scholar
  • Zhang, W. and Chiu, Y. B. (2020). Globalisation, country risks, and trade in tourism services: Evidence from China. Sustainability, 12(14), 5869, 1-24. doi:10.3390/su12145869 google scholar
There are 48 citations in total.

Details

Primary Language English
Subjects Macroeconomics (Other)
Journal Section RESEARCH ARTICLE
Authors

Ümit Gaberli 0000-0003-0097-174X

Publication Date August 13, 2025
Submission Date November 11, 2024
Acceptance Date April 30, 2025
Published in Issue Year 2025 Volume: 12 Issue: 2

Cite

APA Gaberli, Ü. (2025). Empirical Evidence for the Relationship between Globalisation and Tourism by Country Income Groups. İktisat Politikası Araştırmaları Dergisi, 12(2), 276-291. https://doi.org/10.26650/JEPR1582631
AMA Gaberli Ü. Empirical Evidence for the Relationship between Globalisation and Tourism by Country Income Groups. JEPR. August 2025;12(2):276-291. doi:10.26650/JEPR1582631
Chicago Gaberli, Ümit. “Empirical Evidence for the Relationship Between Globalisation and Tourism by Country Income Groups”. İktisat Politikası Araştırmaları Dergisi 12, no. 2 (August 2025): 276-91. https://doi.org/10.26650/JEPR1582631.
EndNote Gaberli Ü (August 1, 2025) Empirical Evidence for the Relationship between Globalisation and Tourism by Country Income Groups. İktisat Politikası Araştırmaları Dergisi 12 2 276–291.
IEEE Ü. Gaberli, “Empirical Evidence for the Relationship between Globalisation and Tourism by Country Income Groups”, JEPR, vol. 12, no. 2, pp. 276–291, 2025, doi: 10.26650/JEPR1582631.
ISNAD Gaberli, Ümit. “Empirical Evidence for the Relationship Between Globalisation and Tourism by Country Income Groups”. İktisat Politikası Araştırmaları Dergisi 12/2 (August2025), 276-291. https://doi.org/10.26650/JEPR1582631.
JAMA Gaberli Ü. Empirical Evidence for the Relationship between Globalisation and Tourism by Country Income Groups. JEPR. 2025;12:276–291.
MLA Gaberli, Ümit. “Empirical Evidence for the Relationship Between Globalisation and Tourism by Country Income Groups”. İktisat Politikası Araştırmaları Dergisi, vol. 12, no. 2, 2025, pp. 276-91, doi:10.26650/JEPR1582631.
Vancouver Gaberli Ü. Empirical Evidence for the Relationship between Globalisation and Tourism by Country Income Groups. JEPR. 2025;12(2):276-91.