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Practical aspects of pricing policy of a wholesale enterprise


Rozumnaya N.V., Belyaev T.E.
(about the authors)

Rozumnaya Natalya Vyacheslavovna – (Novosibirsk State University)

Belyaev Timofey Evgenevich – (Novosibirsk State University)

Published in:
Russian Journal of Entrepreneurship
– Volume 18, Number 21 (November 2017)

JEL classification: F13, F51, F52

Keywords: competition, discounts, exchange rates, inflation, price policy, regression model, sales, wholesale


Citation:
Rozumnaya N.V., Belyaev T.E. (2017). Practical aspects of pricing policy of a wholesale enterprise. Russian Journal of Entrepreneurship, 18(21), 3375-3389. doi: 10.18334/rp.18.21.38525


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Abstract:

The article considers the issues of pricing policy of wholesale trade enterprises; we analyze the development of wholesale trade in Russia. We’ve made a regression model of the dependence of sales on the price for a wholesale enterprise. We developed recommendations for improving the company's pricing policy. The article is devoted to the issues of pricing at domestic enterprises and to the issues of justification of effective pricing policy of modern companies operating in the conditions of tough price competition.


Highlights:

•Important factor in the development of Russian economy as a whole is the profitability and profitability of domestic enterprises, which often depends not only on effective production activities, but also on sound pricing policy
•Urgent task for modern Russian enterprises is the creation of effective pricing policy that will provide an opportunity to manage effectively the price, to develop a reasonable system of discounts, and to significantly increase company’s sales
•For wholesale companies that sell goods with price elasticity of demand, even a slight decrease in it leads to a significant increase in sales, but even in this situation, pricing requires the use of an accurate economic and mathematical apparatus and regression models that allow accurate and interval forecasting
•In a market economy and in the conditions of tough price competition, Russian enterprises need to respond quickly to changes in the external environment. Time for making decisions on price changes is often limited, so enterprises should have a well-established economic and mathematically proven algorithm for determining the price appropriate for these conditions.








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