Article Sidebar

Vol. 22 No. 1 (2024): Jurnal Ekonomi Pembangunan
Submitted
March 21, 2024
Accepted
June 29, 2024
Published
June 30, 2024
Download
pdf
Statistic
Read Counter : 231 Download : 152

Downloads

Download data is not yet available.

Main Article Content

Abstract

This study examines the impact of income, exchange rates, political conditions, and health factors on Indonesian tourism demand from 2010 to 2019, using multiple and panel regression analyses with data from Statistics Indonesia (BPS), the World Bank, the Central Bank of Indonesia (BI), and the World Health Organization (WHO). The findings indicate that the income of tourists from China, Australia, Timor Leste, and other analyzed countries positively affects tourism demand, while income from Malaysia and Singapore shows no significant effect. Exchange rates positively influence tourists from Malaysia, Singapore, Australia, Timor Leste, and other analyzed countries, but have no significant effect on Chinese tourists. Political conditions negatively impact Australian tourists, positively influence tourists from other analyzed countries, and have no significant effect on tourists from Malaysia, China, Singapore, and Timor Leste. Health factors negatively affect tourists, while having no significant effect on tourists from Singapore and Australia. The study recommends that the government enhance tourism supply to boost demand, with a focus on improving environmental sustainability, health, tourism service infrastructure, and security and safety. Additionally, there is a need for standardized governance rules to better manage the impacts of outbreaks or disasters on the tourism sector.

Keywords

tourism demand income exchange rate politics health

Article Details

License
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with this journal agree to the terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Creative Commons License

Jurnal Ekonomi Pembangunan is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License..

How to Cite
Prayitno, A. R. D., Haryanto, T., & Auwalin, I. (2024). Political and Health Influences on Demand for Indonesian Tourism. Jurnal Ekonomi Pembangunan, 22(1), 107–120. https://doi.org/10.29259/jep.v22i1.23082
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Badan Pusat Statistik. (2022). Statistik Kunjungan Wisatawan Mancanegara. Jakarta: Badan Pusat Statistik.
  2. Bakar, N. A., & Rosbi, S. (2020). Effect of Coronavirus Disease (COVID-19) to Tourism Industry. International Journal of Advanced Engineering Research and Science, 7(4), 189–193. https://doi.org/10.22161/ijaers.74.23
  3. Balli, F. (2019). Geopolitical Risk and Tourism Demand in Emerging Economies. Tourism Economics, 25, 997–1005. https://doi.org/10.1177/1354816619831824
  4. Bazher, S. S. (2016). Upaya Pemerintah Indonesia Dalam Meningkatkan Wisatawan Mancanegara Asal Singapura Melalui Program Wonderful Indonesia Tahun 2011-2014. Global and Policy Journal of International Relations, 4(1), 1-14.
  5. Borhan, N. dan Arsad, Z. (2016). Determining Factors Affecting Tourism Demand for Malaysia using ARDL Modeling: A Case of Europe Countries. AIP Conference Proceedings, 1782. https://doi.org/10.1063/1.4966095
  6. Chen, Z., & Haynes, K. E. (2015). Impact of High-Speed Rail on International Tourism Demand in China. Applied Economics Letters, 22(1), 57–60. https://doi.org/10.1080/13504851.2014.925043
  7. Cheng, K. M. (2016). Medical Tourism: Chinese Maternity Tourism to Hong Kong. Current Issues in Tourism, 19(14), 1479–1486. https://doi.org/10.1080/13683500.2015.1042359
  8. Croes, R. R., & Vanegas, M. (2005). An Econometric Study of Tourist Arrivals in Aruba and its Implications. Tourism Management, 26(6), 879–890. https://doi.org/10.1016/j.tourman.2004.04.007
  9. Demir, E., Simonyan, S., Chen, M.-H., & Marco Lau, C. K. (2020). Asymmetric Effects of Geopolitical Risks on Turkey’s Tourist Arrivals. Journal of Hospitality and Tourism Management, 45, 23–26. https://doi.org/10.1016/j.jhtm.2020.04.006
  10. Dogru, T., & Sirakaya-Turk, E. (2018). Modeling Turkish Outbound Tourism Demand using a Dynamic Panel Data Approach. Tourism and Hospitality Research, 18(4), 411–414. https://doi.org/10.1177/1467358416663822
  11. Dogru, T., Sirakaya-Turk, E., & Crouch, G. I. (2017). Remodeling International Tourism Demand: Old Theory and New Evidence. Tourism Management, 60, 47–55. https://doi.org/10.1016/j.tourman.2016.11.010
  12. Durbarry, R., & Sinclair, M. T. (2003). Analyse des parts de marché : Le cas de la demande touristique française. Annals of Tourism Research, 30(4), 927–941. https://doi.org/10.1016/S0160-7383(03)00058-6
  13. Fu, X., Ridderstaat, J., & Jia, H. (Chenge). (2020). Are All Tourism Markets Equal? Linkages Between Market-Based Tourism Demand, Quality of Life, and Economic Development in Hong Kong. Tourism Management, 77, 104015. https://doi.org/10.1016/j.tourman.2019.104015
  14. Gössling, S., Scott, D., & Hall, C. M. (2021). Pandemics, Tourism and Global Change: a Rapid Assessment of COVID-19. Journal of Sustainable Tourism, 29(1), 1–20. https://doi.org/10.1080/09669582.2020.1758708
  15. Gujarati, D., Economics, P. O. F., Of, E., Issues, S., Economics, M., Economics, I., Economics, A., & Economics, U. (2009). Single-Equation Regression Models. In Introductory Econometrics: A Practical Approach. Routledge. https://doi.org/10.4324/9780203157688
  16. Halim, S. S. A. (2020). Modeling and Forecasting of Tourism Demand in Malaysia. International Journal of Current Science Research and Review, 3(12), 230-244. https://doi.org/10.47191/ijcsrr/v3-i12-06
  17. Haq, M. Z., & Ullah, R. (2019). Tourism Demand Function for Pakistan. Journal Of Social Sciences & Humanities, 3(1 & 2), 1–17.
  18. Hidayat, A. S. (2019). Persiapan Sektor Pariwisata Indonesia. LIPI Press.
  19. Husein, J., & Kara, S. M. (2020). Nonlinear ARDL Estimation of Tourism Demand for Puerto Rico from the USA. Tourism Management, 77(September 2019), 103998. https://doi.org/10.1016/j.tourman.2019.103998
  20. Jong, M.-C. (2020). Empirical Review on Tourism Demand and COVID-19. Munich Personal RePEc Archive, 103919, 1–7. https://mpra.ub.uni-muenchen.de/id/eprint/103919
  21. Khan, A., Bibi, S., Lorenzo, A., Lyu, J., & Babar, Z. U. (2020). Tourism and Development in Developing Economies: A Policy Implication Perspective. Sustainability (Switzerland), 12(4), 1–19. https://doi.org/10.3390/su12041618
  22. Lee, C. C. (2021). Geopolitical Risk and Tourism: Evidence from Dynamic Heterogeneous Panel Models. International Journal of Tourism Research, 23(1), 26–31. https://doi.org/https://doi.org/10.1002/jtr.2389
  23. Liu, H., Liu, W., & Wang, Y. (2021). A Study On The Influencing Factors Of Tourism Demand from Mainland China To Hong Kong. Journal of Hospitality & Tourism Research, 45(1), 171–191. https://doi.org/10.1177/1096348020944435
  24. Mariyono, J. (2017). Determinants of Demand for Foreign Tourism in Indonesia. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 18(1), 82-92. https://doi.org/10.23917/jep.v18i1.2042
  25. Martins, L. F., Gan, 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
  26. Puah, C.-H., Jong, M.-C., Ayob, N., & Ismail, S. (2018). The Impact of Tourism on the Local Economy in Malaysia. International Journal of Business and Management, 13(12), 151-157. https://doi.org/10.5539/ijbm.v13n12p151
  27. Rosello, J. (2017). Infectious Disease Risk and International Tourism Demand. Health Policy and Planning, 32(4), 538–548. https://doi.org/https://doi.org/10.1093/heapol/czw177
  28. Salleh, N. H. M. (2008). Asian Tourism Demand For Malaysia: A Bound Test Approach. Contemporary Management Research, 4(4), 351–368. https://doi.org/10.7903/cmr.1178
  29. Shi, W., & Li, K. X. (2017). Impact of Unexpected Events on Inbound Tourism Demand Modeling: Evidence of Middle East Respiratory Syndrome Outbreak in South Korea. Asia Pacific Journal of Tourism Research, 22(3), 344–356. https://doi.org/https://doi.org/10.1080/10941665.2016.1250795
  30. Shrestha, N. (2020). Detecting Multicollinearity in Regression Analysis. American Journal of Applied Mathematics and Statistics, 8(2), 39-42. https://doi.org/10.12691/ajams-8-2-1
  31. Song, H., Li, G., Witt, S. F., & Fei, B. (2010). Tourism demand modelling and forecasting: How should demand be measured? Tourism Economics, 16(1), 63–81. https://doi.org/10.5367/000000010790872213
  32. Suhel, S., & Bashir, A. (2018). The Role of Tourism toward Economic Growth in the Local Economy. Economic Journal of Emerging Markets, 10(1), 32–39. https://doi.org/10.20885/ejem.vol10.iss1.art4
  33. Tavares, Redrigo. (2016). ESG Factors and Risk-Adjusted Performance: a New Quantitative Model. Journal of Sustainable Finance & Investment, 6(4), 292-300. https://doi.org/10.1080/20430795.2016.1234909
  34. Tiwari, A. K., Das, D., & Dutta, A. (2019). Geopolitical Risk, Economic Policy Uncertainty and Tourist Arrivals: Evidence from a Developing Country. Tourism Management, 75(May), 323–327. https://doi.org/10.1016/j.tourman.2019.06.002
  35. Vanegas, J., Valencia, M., Restrepo, J., & Muñeton, G. (2020). Modeling Determinants of Tourism Demand in Colombia. Tourism and Hospitality Management, 26(1), 49–67. https://doi.org/10.20867/thm.26.1.4
  36. Yazdi, S. K., & 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

Similar Articles

<< < 1 2 3 4 > >> 

You may also start an advanced similarity search for this article.