Anti-corruption Agencies – Silver Bullet Against Corrupion or Fifth Wheel to a Coach? Analysis from the Perspective of the Constructivist Theory of Social Problems

Grzegorz Makowski ()
Additional contact information
Grzegorz Makowski: Collegium Civitas

Studia z Polityki Publicznej / Public Policy Studies, 2016, vol. 3, issue 3, 24

Abstract: Constructivism is the most dynamically evolving concept in the sociology of social problems. The research projects based on this paradigm, especially those dedicated to corruption, provide valuable insights and opportunities to formulate conclusions on the nature of this phenomenon, which would be difficult to derive from other theoretical traditions. The main purpose of this paper is to show how a constructivist approach might be used to better understand the nature of modern corruption, and why one of the most popular solutions nowadays, anti-corruption agencies (ACAs), so often fail. The author’s main argument is that one of the most important reasons why the ACAs fail is strongly related to how a social problem of corruption is constructed.

Keywords: social problems; constructivism; corruption; anti-corruption agencies (search for similar items in EconPapers)
JEL-codes: D73 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://econjournals.sgh.waw.pl/KSzPP/article/view/928 Full text (application/pdf)
azybal@sgh.waw.pl

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:spppps:0131

Access Statistics for this article

Studia z Polityki Publicznej / Public Policy Studies is currently edited by Andrzej Zybała, Andrzej Klimczuk

More articles in Studia z Polityki Publicznej / Public Policy Studies from Warsaw School of Economics Al. Niepodleglosci 162, 02-554 Warszawa. Contact information at EDIRC.
Bibliographic data for series maintained by Marcin Ochalski ().