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Статистика и экономика
Article . 2016 . Peer-reviewed
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TOURISM MARKET: PRICING ISSUES

Authors: Irina A. Kiseleva; Natalya V. Gryzunova; Bui Ngoc Anh;

TOURISM MARKET: PRICING ISSUES

Abstract

Article retractedThe article is devoted to the actual topic of our time - the development of tourism services. The development of tourism is the leading technology trend dynamics maroon economic caused social restructuring of modern society. Macroeconomic Financial Statistics conrms the minimum amplitude of cyclical uctuations in the service sector, which turns it into countercyclical tool. In the Russian Federation the economic problem of a state policy in the sphere of tourist services is defined - to having turned tourism in competitive, innovative, countercyclical, and highly protable sector of national business. In article pricing factors are dened and are dened key of them, responsible for the cost of a tourist product. This work answers such questions of travel company as: denition of optimum group, formation of a transport tariff, structure of a tourist product on the main and accompanying services and their range, ways of sale. A practical advice by calculation of expenses is given. Correlation and regression and cluster analyses acted as research tools when performing work. In article the conclusion is drawn that the main methods of marketing management of pricing in the market of tourist services are: transition to the unified technology of granting a service on the basis of ISO; intensication and integration of the sphere of production and services

Keywords

методы управления ценообразованием, туризм, корреляция, Economics as a science, methods of pricing management, факторы ценообразования, correlation, tourism, регрессия, pricing factors, regression, HB71-74

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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