medicine, leisure, or business, falls under the
category of social and economic activity known as
tourism. In general, foreign visitors for educational,
medical and commercial purposes have a positive
effect on the tourism sector. For example, through
medical tourism, patients and their attendants can use
local services and increase tourism income. Also,
these visitors tend to stay longer and use
accommodation, meals, transportation and other
services. This increases economic activity and brings
additional income to the local economy. In addition,
necessary infrastructure - hotels, clinics, educational
centers, restaurants and entertainment places - will be
developed in order to create comfort for visitors.
However, it should be noted that various factors
can affect the increase or decrease in the number of
visitors to each country, including geographic
location, attractiveness of historical and cultural
heritage, business opportunities (tax policy),
education and the level of development or
affordability of medicine, population welfare,
ecology and other such factors. Each of these factors
has developed differently across countries. In this
study, we analyzed the factors that shape the flow of
tourists to the country on the example of Uzbekistan.
It should be noted that regression and correlation
indicators (parameters of the regression equation,
determination and correlation coefficients) may be
distorted by random errors due to the fact that they are
based on quantitatively limited set of data. The effect
of random errors on regression and correlation
indicators should not be too large, otherwise such
indicators will become meaningless.
REFERENCES
A.A. Eshtayev. O’zbekistonning turizm salohiyati va uni
rivojlantirish istiqbollari. (Monografiya) – Samarqand:
“Ipak yo’li” turizm xalqaro universiteti nashriyoti,
2023, 288 bet.
A.Irmatova, D.Iskandarova, G.Pirnazarova, J.Mansurov,
M.Xakimova. “Green jobs in a sustainable labor
market: remote work, skills and training”, E3S Web
Conf., Volume 574, 2024, 1st International Scientific
Conference “Green Taxonomy for Sustainable
Development: From Green Technologies to Green
Economy” (CONGREENTAX-2024),
https://doi.org/10.1051/e3sconf/202457407002
Adeola O, Boso N, Evans O (2018). Drivers of international
tourism demand in Africa. Business Economics
53(1):25-36.
Akama, J. S. (2002). The role of government in the
development of tourism in Kenya. International Journal
of Tourism Research, 4(1), 1-14.
https://doi.org/10.1002/jtr.318
Alieva, M.T., Norchaev, A.N., & Adilova, Z.D. (2010).
Turizm menejmenti: O’quv qo’llanma. T.: TDIU, 116
b.
Anaba, M. I., Masud, M. M., & Ching, G. H. (2020).
Predominant factors affecting community’s willingness
to invest in tourism industry. Sarjana, 35(2), 52-67.
Anaba, M. I., Ching, G. H., & Masud, M. M. (2023).
Factors influence residents’ investment decision for
tourism industry development, International Journal of
Applied Economics, Finance and Accounting. ISSN
2577-767X, Vol. 16, No. 1, pp. 66-76. DOI:
10.33094/ijaefa.v16i1.890
Adilova, Z.D. (2024). Development and assessment factors
of HR branding: foreign practice. Monography.
Tashkent, 164 p.
Boluk, K., Cavaliere, Ch.T., & Higgins-Desbiolles, F.
(2019). A critical framework for interrogating the
United Nations Sustainable Development Goals 2030
Agenda in tourism. Journal of Sustainable Tourism,
27(3):1-18, May 2019. DOI:
10.1080/09669582.2019.1619748
Boniface, B., Cooper, R., & Cooper, C. (2016). Worldwide
Destinations: The Geography of Travel and Tourism
(7th ed.). London: Routledge.
Claveria, O., & Torra, S. (2014). Forecasting tourism
demand to Catalonia: Neural networks vs. time series
models. Economic Modelling, 36, 220-228.
Eryiǧit, M., Kotil, E., & Eryiǧit, R. (2010). Factors
affecting international tourism flows to Turkey: A
gravity model approach. Tourism Economics, 16(3),
585-595.
Eshtayev, A.A. (2023). O’zbekistonning turizm salohiyati
va uni rivojlantirish istiqbollari. Samarqand: “Ipak
yo’li” turizm xalqaro universiteti nashriyoti, 288 bet.
Keum, K. (2010). Tourism flows and trade theory: A panel
data analysis with the gravity model. Annals of
Regional Science, 44(3), 541-557.
Kitsios, F., Mitsopoulou, E., Moustaka, E., & Kamariotou,
M. (2022). User-generated content behavior and digital
tourism services: a SEM-neural network model for
information trust in social networking sites. Int. J. Inf.
Manag. Data Insights, 2(1), 100056-100056. DOI:
10.1016/j.jjimei.2021.100056
Lim, C. (1999). A meta-analytical of international tourism
demand. Journal of Travel Research, 37(3), 273-284.
Luo, X. (2019). Self-Empowerment and Its Discontents-
Shanghai Private Art Museums in Contemporary
China.
Mansfeld, Y. (1990). Spatial patterns of international tourist
flows: towards a theoretical framework. Progress in
Human Geography, 14(3), 372-390.
Morley, C.L. (1992). A microeconomic theory of
international tourism demand. Annals of Tourism
Research, 19(2), 250-267.
Narayan, P.K. (2004). Fiji’s tourism demand: The ARDL
approach to cointegration. Tourism Economics, 10(2),
193-206.
Prideaux, B. (2005). Factors affecting bilateral tourism
flows. Annals of Tourism Research, 32(3), 780-801.