Fraud and Corruption in EU Funding
This book provides systematic comparative research of antifraud laws and context at EU countries using a Artificial Neural Network (ANN) model to predict illegal activities in ERDF and CF. It also details a map of corruption risk with the goal of reducing corruption and fraud in the management of European Regional Development Funds and Cohesion Funds through the incorporation of adequate measures and strategies derived from the resulting of EUMODFRAUD EU Project. The authors analyse the specific situations, observe the risks and finally, propose an innovative method that allows predicting fraudulent acts, which will be of interest to both academics, researchers, and policy makers in financial services, public finance, and financial crime.
| ISBN: | 9783031190506 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 196 |
| Produktart: | Gebunden |
| Herausgeber: | Blanco-Alcántara, David García-Moreno Rodríguez, Fernando López-de-Foronda Pérez, Óscar |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 30.11.2022 |
| Untertitel: | The Problematic Use of European Funds and Solutions |
| Schlagworte: | Anti-fraud laws Artificial Neural Network (ANN) model Corruption Corruption Perception Index Detecting Fraud European Funds European Structural and Investment Funds Fighting corruption in private and public institutions Fraud |
David Blanco-Alcántara is a Senior Lecturer in Corporate Finance at the University ofBurgos, Spain. Fernando García-Moreno Rodríguez is a Senior Lecturer in Administrative Law in theFaculty of Law, University of Burgos, Spain. Óscar López-de-Foronda Pérez is a Senior Lecturer in Corporate Finance andAccounting at the University of Burgos, Spain.