Irina Petrovna GLAZYRINA, Aleksandr Evgen’evich PESHKOV

УДК  338.488 


I. P. Glazyrina. A. E. Peshkov / News of the Ural State Mining University. 2018. Issue 4(52), pp. 128-134

Relevance of the study of the development of tourism in the regions of the eastern part of the country is due to its high potential for environmentally friendly diversification of the economy of these territories experiencing significant environmental pressure due to natural resource orientation. High environmental quality is a condition for the sustainable development of this sector; it creates an additional economic motivation of the business community for its preservation, which corresponds to the basic principles of ecological economics.
Purpose of the work is to obtain quantitative estimates of the influence of various factors on the economic results within the tourism sector related to the income of collective accommodation facilities (CAF).
Methodology. To estimate the influence of various factors on the dynamics of economic indicators, linear regression analysis was used using the STATA software resources.
Results obtained have revealed a number of positive trends in the development of the tourism sector in eastern Russia, despite significant external shocks after 2014. In all regions, the income of CAF increases adjusted to the index of the physical quantity of services paid to the population. Deductions to the budgetary system of the Russian Federation are growing everywhere, except for the Trans-Baikal Territory (here they decreased), while the total number of tourists increased slightly from 2009 to 2016. At the same time, a number of controversial trends were revealed that require the attention of public authorities responsible for the strategy of regional development. The results show that non-tourist activities bring a high income share for CAF in most of the regions examined, despite the increase in tourist flows in the east of the country. In recent years, the number of Chinese tourists in the territory of Lake Baikal is growing rapidly.
Conclusions. The authors believe that on the basis of the obtained results there are enough grounds for the assumption about the growing share of shadow turnover in the tourism sector and, accordingly, for the urgent development of measures to counter these trends.

Keywords: tourism industry, regression analysis, income behavior, regional policy.



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