Factors Influencing Domestic Tourist Expenditures in Sorsogon City


Authors : Erika F. Brajas; Bianca G. Enano; Jenika Mae R. Bermas; Maria Donnah D. Goyala

Volume/Issue : Volume 11 - 2026, Issue 1 - January


Google Scholar : https://tinyurl.com/ysperhyj

Scribd : https://tinyurl.com/2mhjxe5w

DOI : https://doi.org/10.38124/ijisrt/26jan234

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The present study aimed to analyze the demographic profile of the respondents, expenditure pattern of local tourist coming from the 15 municipalities of Sorsogon City, and determine if there is a significant difference in overall expenditure when grouped according to profile. The study is based on primary data sources collected from 105 participants through a researcher-made questionnaire and a non-probability purposive sampling. The data collected were analyzed through Excel. Descriptive statistics were used in presenting the frequency distribution and percentage of the demographic profile and spending of tourists. Furthermore, in ANOVA were used in finding if there is a significant difference in overall expenditure when grouped according to profile. The result of the study provided evidence indicating that there is a significant difference in overall expenditure when grouped according to the profile age, sex, duration of stay, monthly income, travel distance, and educational attainment. For sex, no significant difference have been found. The findings of the study provided implications for policy makers in creating proper marketing approach to maximize economic benefits while maintaining support to local businesses and upholding the practice of sustainable tourism.

Keywords : Expenditure, Profile, Significant, Tourists.

References :

  1. Adicayana, F. S. (2016).         Determinants of domestic tourist expenditure in Banyuwangi. JIMFEB UB,5(1). https://jimfeb.ub.ac.id/index.php/jimfeb/article/view/3361/3012.
  2. Alfarhan, U. F., Nusair, K., Al-Azri, H., and Al-Muharrami, S. (2022a). Modeling expenditure differentials of international tourists by targeted utility: a synthesized theoretical and quantile decomposition approach. Int. J. Consumer Stud. 46, 324–344. doi: 10.1111/ijcs.12683.
  3. Barros, C. P., & Machado, L. P. (2010). The length of stay in tourism. Annals of Tourism Research, 37(3), 692–706. https://doi.org/10.1016/j.annals.2009.12.005.
  4. Bathan, A. C. L., Ababao, A. C. J., Bathan, J. E. A., Marquez, B. C. N., Resma, R. A. S., Reyes, J. M. M., & Felicen, S. S. (2017). Consumer buying behavior among resort’s guests in Batangas Province. Asia Pacific Journal of Multidisciplinary Research, 5(4), 51–62.
  5. Canet, L. N., & Sunpongco, L. (2025). Discovering hidden gems: A comprehensive study of underrated local tourist destinations in Bulacan, Philippines. International Journal           of Tourism and Hospitality, 5(1),1-20. https://www.svedbergopen.com/files/1742797379_%281%29_IJTH20246945780 1PH_%28p_1-20%29.pdf.
  6. Davis, B., Lockwood, A., Alcott, P., & Pantelidis, I. (2018). Food and beverage management (6th ed.). https://library.matanauniversity.ac.id/matanalib/repository/20010272E.pdf.
  7. Galias, M. T. F. (2024). Customers’ preferences on food serving in Sorsogon City. United International Journal for Research & Technology, 6(3), Article30001. https://uijrt.com/articles/v6/i3/UIJRTV6I30001.pdf
  8. Goeldner, C. R., & Ritchie, J. R. B. (2009). Tourism: Principles, practices, philosophies (11th ed.). https://books.google.com/books/about/Tourism.html?id=V495NkYmOn8C.
  9. Hu, W., & Wall, G. (2005). Environmental management, environmental image and the competitive tourist attraction. Journal of Sustainable Tourism, 13(6), 617–635. https://doi.org/10.1080/09669580508668584.
  10. International Monetary Fund. (2014). Government finance statistics manual 2014. https://www.imf.org/external/pubs/ft/gfs/manual/2014/gfsfinal.pdf.
  11. Kaufman, M. R., Eschliman, E. L., & Karver, T. S. (2023). Differentiating sex and gender in health research to achieve gender equity. Bulletin of the World Health Organization, 101(10), 666–671. https://doi.org/10.2471/BLT.22.289310.
  12. Listyorini, N. H., Hakim, N. a. R., & Bawaulu, N. E. A. (2023). The pattern of travel decisions and tourist expenditures for local tourism revenue in Wonosobo Regency. International Conference on Digital Advance Tourism Management and Technology, 1(2), 284–299. https://doi.org/10.56910/ictmt.v1i2.43.
  13. Maltby, J., Houran, J., & McCutcheon, L. E. (2003). A clinical interpretation of attitudes and behaviors associated with celebrity worship. Journal of Nervous and Mental Disease, 191(1), 25–29. https://doi.org/10.1097/00005053-200301000-00005.
  14. Mapelu, I. C., Bor, T., Nthiga, R., Kamwea, J., & Yego, J. (2013). Determinants of the Level of Revenue of Tourist Enterprises within the North Coastal Region of Kenya. Journal of Tourism, Hospitality and Sports, 1, 23–27.
  15. Marrocu, E., Paci, R., & Zara, A. (2015). Micro-economic determinants of tourist expenditure: A quantile regression approach. Tourism Management, 50, 13–30. https://doi.org/10.1016/j.tourman.2015.01.006.
  16. Massidda C., Piras R., Seetaram N. (2022). Analysing the drivers of itemised tourism expenditure from the UK using survey data. Annals of Tourism Research Empirical     Insights, 3(1),        100037. https://www.sciencedirect.com/science/article/pii/S2666957922000052?via%3Dihub.
  17. Ministry of Manpower. (2025). Gross monthly income from employment. Singapore Department of Statistics. https://stats.mom.gov.sg/SL/Pages/Gross-Monthly- Income-from-Employment-Concepts-and-Definitions.aspx.
  18. Nayak, J. K., & Bhalla, N. (2016). Factors motivating visitors for attending handicraft exhibitions: Special reference to Uttarakhand, India. Tourism Management Perspectives, 20, 238–245. https://doi.org/10.1016/j.tmp.2016.10.001.
  19. Nayak, S., Sahoo, S., & Mahalik, S. (2022). Factors affecting domestic tourism spending in India. Tourism Economics, 28(3), 671–688. https://doi.org/10.1177/13548166221102972.
  20. Ngondo, E., Hermann, U. P., & Venter, D. H. (2024). Push and Pull Factors Affecting Domestic Tourism In The Erongo Region, Namibia. GeoJournal of Tourism and Geosites, 53(2), 575–583. https://doi.org/10.30892/gtg.53221-1233.
  21. Ocran, E. K., Adebanji, O. A., & Sarpong, S. (2019). The Impact of Socio- Demographic Factors on Domestic Tourism Consumption Expenditure in Ghana. Journal of Tourism, Hospitality and Sports, 41, 35–45. https://iiste.org/Journals/index.php/JTHS/article/download/47871/49454.
  22. Orea-Giner, A., & Fusté-Forné, F. (2023). The way we live, the way we travel: Generation Z and sustainable consumption in food tourism experiences. British Food Journal, 125(13), 330–351. https://doi.org/10.1108/BFJ-112022-0962.
  23. Pai, W. T., Lee, J. M., Ding, J. F., & Pham, C. V. (2024). Exploring tourism attractiveness factors and consumption patterns of Southeast Asian tourists to Taiwan. Journal of China Tourism Research, 10(3), 1-17. https://www.tandfonline.com/doi/full/10.1080/23311886.2024.2401147#d1e522.
  24. Patterson, I., & Balderas, A. (2025). Older travellers as a critical sector of the tourism industry, now and in the future: Overcoming myths and stereotypes. European Journal of Tourism, Hospitality and Recreation, 15(1),81-90. https://www.researchgate.net/publication/394900964_Older_travellers_as_a_critical_sector_of_the_tourism_industry_now_and_in_the_future_overcoming_myths_and_stereotypes.
  25. Pellegrini, A., Sarman, I., and Maggi, R. (2021). Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete– continuous choices. Transportation 48, 931–951. doi: 10.1007/s11116-020- 10083-2.
  26. Phan K.-T., Chen S.-H., Lee J.-M., Pham C.-V. (2024). Expenditure decisions of international tourists to Taiwan. https://www.tandfonline.com/doi/full/10.1080/23311886.2024.2318870.
  27. Philippine News Agency (2024). Tourist arrival in Sorsogon rises 138% in 2024. https://www.pna.gov.ph/index.php/articles/1244038.
  28. Philippine Statistics Authority (PSA) (2024), Tourism Posted Highest Growth in 2023, Contributing 8.6 Percent to the Economy. https://psa.gov.ph/statistics/tourism.
  29. Pulido-Fernández, J. I., Rodríguez-Díaz, B., & Cárdenas-García, P. J. (2019). Key factors of tourism expenditure in emerging urban-cultural destinations. Anatolia, 31(1), 31–49. https://doi.org/10.1080/13032917.2019.1691615.
  30. Ravanes, R. A. (2022). Tourism expenditure in the Philippines as the basis for a tourism entrepreneurial business opportunity model. Journal of Family Business and Management Studies,       14(1),150-151. https://doi.nrct.go.th/admin/doc_download.php?doc_id=630515.
  31. Rodríguez-Pallas, Á., Sarabia-Molina, M. Y., Sánchez-Fernández, M. D., & Ramón- Cardona, J. (2024). Gender and age in the travel choice by Spanish travel agency consumers.                                          Societies, 14(6), 90. https://doi.org/10.3390/soc14060090.
  32. Sahoo B. K., Nayak R., Mahalik M. K. (2022). Factors affecting domestic tourism spending in India. https://doi.org/10.1016/j.annale.2022.100050.
  33. Santrock, J. W. (2011). Life-span development (13th       ed.). McGraw-Hill. https://books.google.com/books/about/Life_span_Development.html?id=LLfgQQ AACAAJ.
  34. Seyidov, J. and Adomaitienė, R. (2016). Factors influencing local tourists’ decision- making on choosing a destination: A case of Azerbaijan. Ekonomika, 95(3), 112–123. https://doi.org/10.15388/Ekon.2016.3.10332
  35. Sherwood Pete. (2017). How travel/tourism companies can nail market segmentation. https://www.gravitatedesign.com/blog/tourism-market-segmentation-101/.
  36. Smith, W. R. (1956). Product differentiation and market segmentation as alternative marketing strategies. Journal of Marketing, 21(1), 3–8. https://doi.org/10.1177/002224295602100102.
  37. Štefko, R., Džuka, J., & Lačný, M. (2022). Psychological Factors of Tourist Expenditure: Neglected or Negligible? Frontiers in Psychology, 13, 942252. https://pmc.ncbi.nlm.nih.gov/articles/PMC9271940/.
  38. Steiger, J. H. (1990). The number of factors problem in the presence of strong determinants. Behavioral Research Methods, Instruments, & Computers, 22(1), 18–27.
  39. Tanana, A., Caruso, M. J., & Rodri̇Guez, C. A. (2022). Determinants of the expenditure of tourist demand in coastal destinations. Advances in Hospitality and Tourism Research (AHTR), 10(2), 206–231. https://doi.org/10.30519/ahtr.94015.
  40. Thrane, C. (2016). The determinants of Norwegians' summer tourism expenditure: Foreign and domestic trips. Tourism Economics, 22(1), 31–46. https://doi.org/10.5367/te.2014.0417.
  41. United Nations World Tourism Organization. (n.d.). Glossary of tourism terms. UN Tourism. https://www.untourism.int/glossary-tourism-terms.
  42. Wang, L., Fong, D. K. C., Law, R., & Fang, B. (2017). Length of stay: Itsdeterminants and outcomes. Journal of Travel Research, 56(5), 620–632. https://doi.org/10.1177/0047287517700315.
  43. Wang, Y., & Davidson, M. C. (2010). A review of micro-analyses of tourist expenditure. Current      Issues     in Tourism,    13(6),     507–524. https://doi.org/10.1080/13683500903406359.
  44. World Tourism Organization. (2021). International tourism highlights (2020 ed.).
  45. UNWTO Xue, L., & Zhang, Y. (2020). The effect of distance on tourist behavior: A study based on social media data. Annals of Tourism Research, 82, 102916. https://www.sciencedirect.com/science/article/pii/S0160738320300608
  46. Yan, X. (2018). Consumer motivation, attitude, and behavior toward online shopping in the U.S. https://digitalcommons.uri.edu/theses/1181
  47. Yang, C. W., Wu, C. L., & Lu, J. L. (2021). Exploring the interdependency and determinants of tourism participation, expenditure, and duration: An analysis of Taiwanese citizens traveling abroad. Tourism Economics, 27(4),649–669. https://doi.org/10.1177/1354816619896656
  48. Yuniati, N. (2023). Crosstab analysis of tourists' spending pattern in Yogyakarta. International Journal of Science, Technology & Management, 4(6), 1684– 1689. https://doi.org/10.46729/ijstm.v4i6.987

The present study aimed to analyze the demographic profile of the respondents, expenditure pattern of local tourist coming from the 15 municipalities of Sorsogon City, and determine if there is a significant difference in overall expenditure when grouped according to profile. The study is based on primary data sources collected from 105 participants through a researcher-made questionnaire and a non-probability purposive sampling. The data collected were analyzed through Excel. Descriptive statistics were used in presenting the frequency distribution and percentage of the demographic profile and spending of tourists. Furthermore, in ANOVA were used in finding if there is a significant difference in overall expenditure when grouped according to profile. The result of the study provided evidence indicating that there is a significant difference in overall expenditure when grouped according to the profile age, sex, duration of stay, monthly income, travel distance, and educational attainment. For sex, no significant difference have been found. The findings of the study provided implications for policy makers in creating proper marketing approach to maximize economic benefits while maintaining support to local businesses and upholding the practice of sustainable tourism.

Keywords : Expenditure, Profile, Significant, Tourists.

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