Analysing spatial spillovers in corruption: A dynamic spatial panel data approach
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Abstract
Suggested Citation
DOI: 10.1111/pirs.12231
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Other versions of this item:
- Hermann Pythagore Pierre Donfouet & P. Wilner Jeanty & Eric Malin, 2018. "Analysing spatial spillovers in corruption: A dynamic spatial panel data approach," Post-Print halshs-01354146, HAL.
Citations
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Cited by:
- Cong Yu & Linke Hou & Yuxia Lyu & Qi Zhang, 2022. "Political competition, spatial interactions, and default risk of local government debts in China," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 717-743, June.
- Julien Hanoteau & Gandhi Pawitan & Virginie Vial, 2021. "Does social capital reduce entrepreneurs' petty corruption? Evidence across Indonesian regions," Papers in Regional Science, Wiley Blackwell, vol. 100(3), pages 651-670, June.
- Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
- Canhoto, Ana Isabel, 2021. "Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective," Journal of Business Research, Elsevier, vol. 131(C), pages 441-452.
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