Econometric Models of Forecasting the Sustainable Development of the Tourism Network in the Innovation Economy

Authors

  • Kamoliddin Shodiev Samarkand State University of Architecture and Construction, Chief Specialist of the Coordination of International Ratings and Accreditations, Samarkand

Keywords:

tourist, forecast, econometric model, regression parameters, optimization

Abstract

In the article, it is possible to include long-term networks such as planning investment in the infrastructure sectors related to the tourism industry - hotels, motels, sanatoriums, highways, railways, airlines. Due to this, it is of great importance in forecasting the number of tourists visiting the Republic of Uzbekistan, their average stay (number of hotel nights), as well as their spending and optimal development of the tourism network. Therefore, in this article, we used univariate and multivariate econometric models used to forecast the development of the tourism industry.

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Published

2024-03-18

How to Cite

Shodiev , K. . (2024). Econometric Models of Forecasting the Sustainable Development of the Tourism Network in the Innovation Economy. Miasto Przyszłości, 46, 549–558. Retrieved from https://miastoprzyszlosci.com.pl/index.php/mp/article/view/2900