Foreign Tourist Expenditure in Indonesia: Impact of Length of Stay, Tourist Arrivals, Occupation, and MICE

Tourism is a crucial activity with a global impact, substantially boosting the economy and altering the environment, consequently improving the lives of millions. The government has increasingly prioritized the expansion of tourism in Indonesia. Based on the direct travel and tourist GDP calculation, Indonesia ranks as the sixth largest economy in the Asia-Pacific area. This study analyses the attributes of tourists that influence average tourist expenditure. The attributes of tourists encompass Length of Stay, Tourist Arrivals, Professional Occupations, and MICE activities. This study examines data through quantitative methodologies. The researcher utilized secondary data from the Central Bureau of Statistics of Indonesia for each variable spanning 2022 to 2024 across 18 countries for this analysis. The total data collected was 54 data and used for analysis. This study employs descriptive analysis, multiple regression analysis, classical assumption testing, and hypothesis testing. The findings of this study demonstrate that Length of Stay and Professional Occupation have no significant influence on Tourist Expenditure. Nonetheless, Tourist Arrivals and MICE negatively significant influence Tourist Expenditure. The findings indicate that the tourist sector ought to enhance promotion and services by implementing strategies customized for professional occupation, MICE, and duration of stay. It is recommended to integrate MICE activities with local tourism programs to enhance participants’ overall experience while stimulating local economic growth.

Social Media, Academic Performance

1. Ab Rahman, S. A., Bachok, S., & Mahamod, L. H. (2023). Effects of Travel Characteristics on Tourism Expenditure: A Case Study of Malaysia Young Outbound Tourists. Planning Malaysia, 21(1), 193–202. https://doi.org/10.21837/PM.V21I25.1233 [Google Scholar] [Crossref]

2. Aflah, F. R., & Hamdani, M. F. (2025). Penerapan Regresi Linier Berganda dalam Menilai Hubungan Antar Variabel dalam Penelitian Kuantitatif, 5, 4195–4211. [Google Scholar] [Crossref]

3. Aguiló, E., Rosselló, J., & Vila, M. (2017). Length of stay and daily tourist expenditure: A joint analysis. Tourism Management Perspectives, 21, 10–17. https://doi.org/10.1016/j.tmp.2016.10.008 [Google Scholar] [Crossref]

4. Bagus, I., & Wijaya, P. (2015). Pengaruh Jumlah Kunjungan Wisatawan, Lama Tinggal dan Pengeluaran Wisatawan Mancanegara Terhadap Pendapatan Sektor Perdagangan, Hotel dan Restoran (PHR) Provinsi Bali Tahun 2000–2012. E-Jurnal Ekonomi Pembangunan Universitas Udayana, 3(5), 191–200. [Google Scholar] [Crossref]

5. Bernini, C., & Cracolici, M. F. (2015). Demographic change, tourism expenditure and life cycle behaviour. Tourism Management, 47, 191–205. https://doi.org/10.1016/j.tourman.2014.09.016 [Google Scholar] [Crossref]

6. Dehalwar, K., & Sharma, S. N. (2024). Exploring the Distinctions between Quantitative and Qualitative Research Methods. Think India Journal, 27(1), 7–15. https://doi.org/10.5281/zenodo.10553000 [Google Scholar] [Crossref]

7. García-Buades, M. E., García-Sastre, M. A., & Alemany-Hormaeche, M. (2022). Effects of overtourism, local government, and tourist behavior on residents’ perceptions in Alcúdia (Majorca, Spain). Journal of Outdoor Recreation and Tourism, 39, 100499. https://doi.org/10.1016/j.jort.2022.100499 [Google Scholar] [Crossref]

8. Gokovali, U., Bahar, O., & Kozak, M. (2007). Determinants of length of stay: A practical use of survival analysis. Tourism Management, 28(3), 736–746. https://doi.org/10.1016/j.tourman.2006.05.004 [Google Scholar] [Crossref]

9. Harman, J., & Zemanová, L. (2022). Economic Impact of MICE Tourism in Slovak Republic, 131–139. https://doi.org/10.53465/edamba.2021.9788022549301.131-139 [Google Scholar] [Crossref]

10. Hasibuan, I. M., Mutthaqin, S., Erianto, R., & Harahap, I. (2023). Kontribusi Sektor Pariwisata Terhadap Perekonomian Nasional. Jurnal Masharif Al-Syariah: Jurnal Ekonomi dan Perbankan Syariah, 8(2), 1200–1217. [Google Scholar] [Crossref]

11. Ivanus, S., & Damanhuri, H. (2024). The Influence of Visitor Characteristics on Expenditure and Visit Volume in the Talang Lake Area, 48(1), 123–134. [Google Scholar] [Crossref]

12. Kemenpar, R. (2025). Siaran Pers: Menpar Widiyanti Laporkan Capaian 100 Hari Kerja: Kementerian Pariwisata Sukses Menjaga Pertumbuhan Sektor Pariwisata. Kemenpar RI. https://kemenpar.go.id/berita/siaran-pers-menparwidiyanti-laporkan-capaian-100-hari-kerjakementerian-pariwisata-suksesmenjaga-pertumbuhan-sektor-pariwisata [Google Scholar] [Crossref]

13. Kyophilavong, P. (2024). Determinant Factors of Tourist Expenditure in the Lao People’s Democratic Republic, 536. [Google Scholar] [Crossref]

14. Listyorini, H., Hakim, A. R., & Bawaulu, E. A. (2023). The Pattern of Travel Decisions and Tourist Expenditures for Local Tourism Revenue in Wonosobo Regency. International Conference on … https://ictmt.stiepari.org/index.php/journal/article/view/43 [Google Scholar] [Crossref]

15. Lubowiecki-Vikuk, A., & Sousa, B. (2021). Journal of Environmental Management. [Google Scholar] [Crossref]

16. Romph, P., Severt, D., & Peerapatdit, N. (2006). Examining and Identifying the Determinants of Travel Expenditure Patterns. International Journal of Tourism Research, 8(5), 333–346. [Google Scholar] [Crossref]

17. Mercan, R., & Sandıkcı, M. (2024). Bleisure tourism: Business and leisure together. In Future Tourism Trends Volume 1: Tourism in the Changing World (pp. 3–15). Emerald Publishing Limited. [Google Scholar] [Crossref]

18. Mukaffi, Z., & Haryanto, T. (2022). Faktor-Faktor Penentu Pariwisata yang Mempengaruhi Pertumbuhan Ekonomi: Tinjauan Sistematis. Jurnal Ilmiah Universitas Batanghari Jambi, 22(3), 1598. https://doi.org/10.33087/jiubj.v22i3.2590 [Google Scholar] [Crossref]

19. Mun’im, A. (2022). Penyempurnaan Pengukuran Kontribusi Pariwisata: Alternatif Percepatan Pertumbuhan Ekonomi Indonesia. Jurnal Kepariwisataan Indonesia, 16(1), 1–14. [Google Scholar] [Crossref]

20. Oklevik, O., Kwiatkowski, G., Malchrowicz-Mośko, E., Ossowska, L., & Janiszewska, D. (2021). Determinants of tourists’ length of stay. PLoS ONE, 16(12), 5–8. https://doi.org/10.1371/journal.pone.0259709 [Google Scholar] [Crossref]

21. Putra, I. G. D. J. S., Karmini, N. L., & Wenagama, I. W. (2021). Wisatawan Terhadap PAD dan Pertumbuhan Ekonomi. Ekonomi dan Bisnis Universitas Udayana, 10(06), 511–524. https://ojs.unud.ac.id/index.php/EEB/article/download/71850/39818 [Google Scholar] [Crossref]

22. Rahmiati, F., & Misnawati, R. (2021). Factors Affecting the Expenditure of Foreign Tourists: Evidence From Indonesia. SINTESA, 3(November), 319–324. https://doi.org/10.36002/snts.v0i0.1269 [Google Scholar] [Crossref]

23. Rahmiati, F., Othman, N. A., Bakri, M. H., Ismail, Y., & Amin, G. (2020). Tourism Service Quality and Tourism Product Availability on the Loyalty of International Tourists. Journal of Asian Finance, Economics and Business, 7(12), 959–968. https://doi.org/10.13106/JAFEB.2020.VOL7.NO12.959 [Google Scholar] [Crossref]

24. Setiorini, K. R., Fidayanti, F., Kalbuana, N., & Cakranegara, P. A. (2022). Pengaruh Leverage sebagai Pemoderasi Hubungan GCG, CSR dan Agresivitas Pajak terhadap Financial Distress pada Perusahaan Perbankan Syariah di Indonesia. Journal of Business and Economics Research (JBE), 3(2), 194–202. https://doi.org/10.47065/jbe.v3i2.1750 [Google Scholar] [Crossref]

25. Sh, I., & Sari, A. P. (2024). Kinerja Pariwisata Indonesia 2024 Positif, Sumbang Devisa 12,63 Miliar Dollar AS hingga Raih 67 Penghargaan. Kompas.com. [Google Scholar] [Crossref]

26. https://kilaskementerian.kompas.com/kemenparekraf/read/2024/12/27/145923027/kinerja-pariwisataindonesia-2024-positif-sumbang-devisa-1263-miliar-dollar [Google Scholar] [Crossref]

27. 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. https://doi.org/10.1016/j.tourman.2009.11.002 [Google Scholar] [Crossref]

28. Travel, W. (2023). The Tourism Sector Landscape in Dominica. Figure 1, 1–12. [Google Scholar] [Crossref]

29. Wang, Y., Romph, P., Severt, D., & Peerapatdit, N. (2006). Examining and identifying the determinants of travel expenditure patterns. International Journal of Tourism Research, 8(5), 333–346. https://doi.org/10.1002/jtr.583 [Google Scholar] [Crossref]

30. Wiraharja, I. P. G. S. (2022). Pengaruh Motivasi Kerja Terhadap Kinerja Karyawan di PT. Melali MICE Bali. Journal of Hospitality Accommodation Management (JHAM), 1(2), 124–131. https://doi.org/10.52352/jham.v1i2.822 [Google Scholar] [Crossref]

31. Yoga Suastika, I. G., & Mahendra, I. N. Y. (2015). Pengaruh Jumlah Kunjungan Wisatawan, Lama Tinggal Wisatawan dan Tingkat Hunian Hotel Terhadap Pendapatan Asli Daerah dan Kesejahteraan Masyarakat pada Kabupaten/Kota di Provinsi Bali. E-Jurnal EP Unud, 1332–1362. [Google Scholar] [Crossref]

• A Bibliometric Analysis of Scopus Literature (1987–2024) On Smart Technologies in Hospitality: From Artificial Intelligence to Augmented Reality.
• Gendered Food Environments: Differences in Food Availability and Perceptions Among Malaysian University Students
• Hospitality Inclusive Internship System (HIIS): An Innovative Internship Matching Platform for Person with Disabilities (PWD) Students
• Cultural Preservation Practices of Selected Cultural Sites, Province of Bohol
• ChatGPT and the Future of Travel: Exploring Trust and Adoption of AI-Powered Personalized Recommendations