TOURIST AND RECREATIONAL COMPLEX OF UZBEKISTAN: MAIN INDICATORS AND DEVELOPMENT FORECAST

Авторы

  • Zumrad Usmanova

Ключевые слова:

tourism, tourist and recreational complex, sanatorium and resort complex, the methods of forecasting differentiation of regional units, the share of tourism in GDP concentration of demand

Аннотация

Despite the fact that there are a large number of tourist and recreational facilities on the territory of Uzbekistan, which are rapidly increasing the rate of population growth, and an increase in the flow of tourists coming to the country for the purpose of health improvement and recreation, the existing facilities cannot fully satisfy the demand of all recreants. The article scientifically substantiates the proposal for the development of a tourist and recreational complex as an effective lever for the restoration of the tourism sector in Uzbekistan. Based on the analysis of the development of the sanatorium-resort complex in the regions of Uzbekistan, an econometric model has been developed that reflects the positive impact of the development of a sanatorium and resort complex and infrastructure of recreation organizations on the share of tourism in the country's GDP.
The development of effective plans for the development of tourist and recreational services in the Republic of Uzbekistan and the selection of an optimal economic strategy in this area is directly related to the process of developing forecast parameters of key indicators determining the development of the industry. A modern management system requires the use of reliable methods and tools to determine the future state and scale of economic processes and events. Econometric analysis of the prospects for the development of tourist and recreational services allows to study the power of complex socio- economic phenomena through economic-mathematical methods, to determine their laws and make science-based decisions.
Thus, it is important to identify the main factors affecting the share of the tourism industry in the country's GDP using correlation-regression methods, to predict its changing trends through the development of multifactorial regression models.

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Опубликован

2022-09-28