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Применение теории экономики права к процессам приватизации государственного имущества

Применение теории экономики права к процессам приватизации государственного имущества

Abstract

The article contains scientific ideas of neoinstitutional theory, with special focus on the economic analysis of law. The possibility to apply scientific theories in modern analysis of privatization processes by the example of Perm krai is shown. Theories of prominent scholars in law economics are provided. An alternative to income acquisition through the state property privatization is put forward.

Рассматриваются научные идеи неоинституциональной теории, в частности экономического анализа права. Показана возможность применения научных теорий при проведении современного анализа процессов приватизации на примере Пермского края. Приведены теории основных экономистов-теоретиков экономики права. Предложено решение замены получения дохода от приватизации государственной собственности.

Keywords

НЕОИНСТИТУЦИОНАЛЬНАЯ ТЕОРИЯ,NEOINSTITUTIONAL THEORY,ЭКОНОМИКА ПРАВА,ПОЛУЧЕНИЕ БЛАГА,ПРИВАТИЗАЦИЯ,PRIVATIZATION,ПЕРМСКИЙ КРАЙ,PERM KRAI,LAW ECONOMICS,ACQUISITION OF AMENITIES

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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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