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Economic Systems
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.31235/osf.i...
Article . 2020 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2020 . Peer-reviewed
Data sources: Crossref
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Political connections and the super-rich in Poland

Authors: Brzezinski, Michal; Sałach, Katarzyna;

Political connections and the super-rich in Poland

Abstract

We use newly collected original panel data on the super-wealthy individuals in Poland (observed over 2002-2018) to study the impact of the rich’s political connections on their wealth level, mobility among the rich and the risk of dropping off the rich list. The multimillionaires are classified as politically connected if we find reliable news stories linking their wealth to political contacts or questionable licenses, or if a person was formerly an informant of communist Security Service or member of the communist party, or when the origins of wealth are connected to the privatization process. We find that political connections are not associated with the wealth level of Polish multimillionaires, but that they are linked to the 20-30% lower probability of upward mobility in the ranking of the rich. Moreover, being a former member of the communist party or secret police informant increases the risk of dropping off the Polish rich list by 79%. Taken together, our results show that, contrary to some other post-socialist countries such as Russia or Ukraine, there is little evidence that the Polish economy suffers from crony capitalism.

Country
Poland
Keywords

bepress|Social and Behavioral Sciences|Economics, Economics, Political Science, SocArXiv|Social and Behavioral Sciences|Economics, SocArXiv|Social and Behavioral Sciences|Political Science, Social and Behavioral Sciences, bepress|Social and Behavioral Sciences|Political Science, bepress|Social and Behavioral Sciences|Sociology, SocArXiv|Social and Behavioral Sciences|Sociology, Sociology, bepress|Social and Behavioral Sciences, SocArXiv|Social and Behavioral Sciences

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    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).
    3
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
3
Top 10%
Average
Average
bronze