A couple of months back, Matthew Stephenson and Michael Johnston engaged
in a lively debate on the question of if aggregate-level data of
corruption is useful, focusing on the appropriate level of
methodological skepticism that should be directed towards large-scale
efforts to quantify corruption (see here, here, here, and here).
While this debate touched on a number of fascinating questions
regarding how to best treat data regarding corruption, it has drifted
away from why Michael had a concern with overly aggressive quantification in the first place: Actually addressing
corruption requires a “standard of goodness,” and the difficulty in
coming up with such a standard explains why the social sciences have
faced a “longstanding inability to come to a working consensus over how
to define corruption.” In other words, when we talk about corruption, we
are inevitably talking about something bad that suggests the vitiation or distortion of something good. It is difficult to conceptualize corruption except as a distortion of a non-objectionable
political process—that is, political practice undertaken with
integrity. This need not mean that there must be some shared first-order
property of good governance; but it does suggest that there is a shared
property to distorted or corrupted governance that must derive from some shared property of all politics.
Read the full post by Jacob Eisler, Lecturer at Cambridge University, in the Global Anticorruption Blog: https://globalanticorruptionblog.com/2016/12/08/guest-post-the-metaphysics-of-corruption-or-the-fundamental-challenge-to-comparative-corruption-measurement/
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