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Article dans une revue Papers in Regional Science Année : 2018

Analysing spatial spillovers in corruption: A dynamic spatial panel data approach

Résumé

Previous studies on the determinants of corruption have seldom addressed cross-border spillovers of corruption in a panel data setting. In this paper, we first propose a theoretical model of spatial corruption spillover based on network analysis. Then, we analyse spatial spillovers in corruption using a dynamic spatial panel approach. The results indicate that corruption not only exhibits spatial spillovers but also a persistent effect over time. More importantly, increase of income per capita, economic freedom, and percentage of women in the parliaments have a long-term effect on the perceived levels of corruption. Policies and programmes aiming at abating corruption must take into consideration those results.
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Dates et versions

halshs-01354146, version 1 (17-08-2016)

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Hermann Pythagore Pierre Donfouet, P. Wilner Jeanty, Eric Malin. Analysing spatial spillovers in corruption: A dynamic spatial panel data approach. Papers in Regional Science, 2018, 97 (S1), pp.S63-S78. ⟨10.1111/pirs.12231⟩. ⟨halshs-01354146⟩
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