Fraud and Corruption in EU Funding - The Problematic Use of European Funds and Solutions

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.  

List of contents

Chapter 1. The Corruption Problem in Europe.- Chapter 2: An Analysis of the Efficiency of European Funds.- Chapter 3: Fighting Fraud and Corruption in European Structural and Investments Funds.- Chapter 4: Innovative Methods for Predicting Fraud and Corruption.- Chapter 5: Conclusion.

Product details

• Assisted by: David Blanco-Alcántara (Editor), Fernando García-Moreno Rodríguez (Editor), López-de-Foronda (Editor), Óscar López-De-Foronda Pérez (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 14.12.2023
• EAN: 9783031190537
• ISBN: 978-3-0-3119053-7
• No. of pages: 196
• Dimensions: 148 mm x 11 mm x 210 mm
• Illustrations: XVI, 196 p. 38 illus., 34 illus. in color.
• Series: Palgrave Macmillan Studies in Banking and Financial Institutions
• Subject: Social sciences, law, business > Business > Individual industrial sectors, branches