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    Moral Economies of Corruption

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    Author(s)
    Pierce, Steven
    Collection
    Knowledge Unlatched (KU)
    Number
    103406
    Language
    English
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    Abstract
    Nigeria is famous for "419" emails asking recipients for bank account information and for scandals involving the disappearance of billions of dollars from government coffers. Corruption permeates even minor official interactions, from traffic control to university admissions. In Moral Economies of Corruption Steven Pierce provides a cultural history of the last 150 years of corruption in Nigeria as a case study for considering how corruption plays an important role in the processes of political change in all states. He suggests that corruption is best understood in Nigeria, as well as in all other nations, as a culturally contingent set of political discourses and historically embedded practices. The best solution to combatting Nigerian government corruption, Pierce contends, is not through attempts to prevent officials from diverting public revenue to self-interested ends, but to ask how public ends can be served by accommodating Nigeria's history of patronage as a fundamental political principle. This title was made Open Access by libraries from around the world through Knowledge Unlatched.
    URI
    http://library.oapen.org/handle/20.500.12657/37511
    https://library.oapen.org/handle/20.500.12657/37511
    Keywords
    corruption; politics and government; nigeria; history; politics; political culture
    DOI
    10.1353/book.64130
    ISBN
    9780822374541, 9780822360773
    Publisher
    Duke University Press
    Publisher website
    https://www.dukeupress.edu/
    Publication date and place
    Durham, 2016
    Grantor
    • Knowledge Unlatched
    Classification
    History
    Pages
    328
    Rights
    All rights reserved
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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