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Taxes and Taxation
Reference:

Sheredeko E.V., Pinskaya M.R. Forecasted Amount of Income Tax Revenues Taking into Account Territorial Distribution of Human Capital

Abstract: The subject of this article is the income tax in case of changing the order of paying tax depending on the place of residence of taxpayers. Based on the deployment of human capital and spatial mobility of the population in the pilot regions (Krasnodar Krai, Belgorod region, Vladimir region, Lipetsk region, Republic of Tatarstan, Tambov region, Saratov region, Primorsky Krai, Krasnoyarsk Krai, Kurgan region, Komi Republic, Republic of Adygea, Leningrad region, Chuvash Republic, Republic of Kalmykia, Moscow region, Tula region, Ivanovo region, Jewish Autonomous Region) the authors review how the change in the order of paying personal income tax will affect the amount of tax revenues to the consolidated budget of a Russian Federation constituent. For the purpose of forecasting the amount of income tax, the authors have used the methods of synthesis, analysis, geographic and statistical representation of processes and phenomena. When analyzing draft laws and regulations, the authors have used a technical research method. The main conclusion of the research is that there is no negative influence of the change in the order of paying income taxes depending on the place of residence of taxpayers on the balanced state of Russian Federation constituents' consolidated budgets. The other result of the research is the authors' recommendations on improving the Russian Federation tax legislation. In the future such forecasts can be made on the GIS platform. The research was carried out as part of the State Task for the Financial University in 2016 'To Develop a Conceptual Model of the Geographic Information System of the Human Capital Development and Evaluation of the Spatial Mobility of Russia's Regions'. 


Keywords:

Russian Federation constituents, spatial mobility, human capital, tax revenues, budget revenues, consolidated budget, tax payment procedure, income tax, geographic information system, tax legislation


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