телефон в шапке

+7-999-464-41-16

site-name-en

Изображение в левую колонку

Contact Us

Our address:
Russia, 630099,
Novosibirsk,
ul. Kamenskaya, 56
(map)
Tel. editorial office:
8-999-464-41-16
advertising manager:
8-913-717-81-96
Materials for publication should be addressed to:
E-mail: sfs@nsuem.ru

© Novosibirsk
State University
of Economics and Management

When reprinting and using
materials, a link to the journal
"Siberian Financial School"
is mandatory

Requisites

INN 5406011041
(Taxpayer Personal
Identification Number)

KPP 540601001
(code of reason
for registration)

FTD in the Novosibirsk Region
(NSUEM private account 20516X20720)
Beneficiary bank::
СИБИРСКОЕ
ГУ БАНКА РОССИИ//УФК
по Новосибирской области
г. Новосибирск
BIC 015004950
ОКТМО
(Russian National Classification
of Municipal Territories)
50701000
Currency bank account
03214643000000015100

Application of the correlation analysis and pareto method in tax forecasting

You are here

Pages: 
58-61
UDC Code: 
336.225:338.27
Authors: 
Andriyenko O Candidate of Economic Sciences  (auditsystem@yandex.ru)
Bannova K Candidate of Economic Sciences  (bannovaka@yandex.ru)
Ryumina Yu Candidate of Economic Sciences  (uar75@rambler.ru)
Balandina A Candidate of Economic Sciences  (anbalandina@mail.ru)

Taxes in the modern state are the main source of its income. In addition to fiscal function, the tax mechanism is used for the economic impact on social production, its dynamics and structure, on the state of scientific and technological progress. A distinctive feature of the tax system during the period of market transformation of economic relations in Russia is its close relationship with the economy, its structure, proportions, target orientation. The conformity tax system with the social and economic priorities adopted in the society is extremely important when creating an enabling environment for the development of the country. One of the ways to develop a tax system in this direction is to improve tax forecasting.

Files: 
References: 
1. Dubrov A.M., Mhitaryan V.S., Troshin L.I. Mnogomernye statisticheskie metody: uchebnik. M.: Finansy i statistika, 2003. 352 s.

2. Pahomov A.P. Primenyat ili ne primenyat princip Pareto na praktike? // Voprosy ekonomicheskoy teorii. 2010. no 1. S. 5-17.

3. Bannova K.A., Aktaev N.E. Matematicheskoe modelirovanie maksimizacii vypuska produkcii pri formirovanii optimalnoy nalogovoy nagruzki // Izvestiya Dalnevostochnogo federalnogo universiteta. Ser.: Ekonomika i upravlenie. 2017. no 2 (82). S. 33-38.

4. Kokin A.S., Edronov A.V. Primenenie korrelyacionno-regressionnogo analiza v prognozirovanii nalogovyh postupleniy v byudzhet subekta Federacii // Ekonomicheskiy vestnik. 2010. no 1 (2). S. 233-241.

5. Ryumina Yu.A., Balandina A.S., Bannova K.A. Nalogovoe stimulirovanie deyatelnosti hozyaystvuyushchih subektov v sovremennyh usloviyah. Tomsk: STT, 2014. 320 s.