Measuring Corruption  book cover
1st Edition

Measuring Corruption

ISBN 9781138249455
Published September 6, 2016 by Routledge
318 Pages

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Book Description

With the advance of an increasingly globalized market, the opportunities for, and scale of, corruption is growing. The size of corporations and their wealth relative to nations provides the resources for corrupt practices. The liberalization of international financial markets makes transferring and hiding the proceeds of corruption easier. Moves towards privatization in East and West are providing once-only incentives for corruption on an unprecedented scale, as officials not only deal with the income of the state, but with its assets as well. In this book, Transparency International's (TI) world-renowned 'Corruption Perception Index' (CPI) and 'Bribery Perception Index' (BPI) are explained and examined by a group of experts. They set out to establish to what extent they are reliable measures of corruption and whether a series of surveys can measure changes in corruption and the effectiveness of anti-corruption strategies. The book contains a variety of expert contributions which deal with the complexity, difficulty and potential for measuring corruption as the key to developing effective strategies for combating it.



Professor Charles Sampford is Director of the Institute of Ethics, Governance and Law at Griffith University (IEGL), Australia. Dr Arthur Shacklock is Senior Research Fellow in the Key Centre for Ethics, Law, Justice and Governance at Griffith University, Australia. Carmel Connors is Senior Research Assistant in the Key Centre for Ethics, Law, Justice and Governance at Griffith University, Australia. Fredrik Galtung is Co-Director of TIRI and Director of the Public Integrity Education Network at Central European University in Budapest.


'...Measuring Corruption provides a useful tour d'horizon of the current state of the debate and examines the strengths and weaknesses of the various approaches to measuring corruption.' The Financial Regulator