Many countries around the world have serious corruption problems at the expense of public welfare. An experimental economic study now identifies conditions that encourage leaders to accept bribes instead of sanctioning free-riders. Possible anti-corruption strategies can have positive effects, fail or even backfire.
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References
Nowak, M. A., & Sigmund, K. Nature 437, 1291–1298 (2005).
Fehr, E. & Fischbacher, U. Nature 425, 785–791 (2003).
Corruption Perceptions Index 2015 (Transparency International, 2015); https://www.transparency.org/cpi2015/
Ambraseys, N., & Bilham, R. Nature 469, 153–155 (2011).
Muthukrishna, M., Francois, P., Pourahmadi, S. & Henrich, J. Nat. Hum. Behav. 1, 0138 (2017).
Traulsen, A., Röhl, T. & Milinski, M. Proc. R. Soc. B 279, 3716–3721 (2012).
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Milinski, M. Economics: Corruption made visible. Nat Hum Behav 1, 0144 (2017). https://doi.org/10.1038/s41562-017-0144
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DOI: https://doi.org/10.1038/s41562-017-0144
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Corruption and complexity: a scientific framework for the analysis of corruption networks
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