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Проблема генетической реконструкции феномена налогообложения

Проблема генетической реконструкции феномена налогообложения

Abstract

В статье предлагается использовать для анализа генезиса феномена налогообложения новые методологические приемы, учитывающие символическую природу этого социального явления. В дополнение к генетической реконструкции налогообложения, давшей в исследованиях несомненные положительные результаты, обосновывается возможность применения метода деконструкции. Генетическая деконструкция позволит ввести в научный обиход порой противоречивые данные различных частных наук, что даст новый импульс в исследовании такого комплексного социального явления, каким является налогообложение.

The article suggests new methods for analysis of genesis of taxation taking into consideration symbolic nature of this social phenomenon. In addition to genetic reconstruction of taxation which has already given undoubted positive results in research, application of deconstruction method is highlighted. Genetic deconstruction will allow to enter into scientific use of sometimes controversial data from specialized sciences that will give a new impulse to research of such a complex social phenomenon as taxation.

Keywords

ФЕНОМЕН НАЛОГООБЛОЖЕНИЯ, СИМВОЛИЧЕСКИЙ ОБМЕН, СИМВОЛИЧЕСКАЯ ПРИРОДА НАЛОГООБЛОЖЕНИЯ, ГЕНЕТИЧЕСКАЯ РЕКОНСТРУКЦИЯ, ГЕНЕТИЧЕСКАЯ ДЕКОНСТРУКЦИЯ

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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
gold