Fraud and Corruption in EU Funding (eBook, PDF)

The Problematic Use of European Funds and Solutions
Redaktion: Blanco-Alcántara, David; López-De-Foronda Pérez, Óscar; García-Moreno Rodríguez, Fernando

• Format: PDF

Produktbeschreibung

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.

David Blanco-Alcántara is a Senior Lecturer in Corporate Finance at the University of

Burgos, Spain.

Fernando García-Moreno Rodríguez is a Senior Lecturer in Administrative Law in the

Faculty of Law, University of Burgos, Spain.

Óscar López-de-Foronda Pérez is a Senior Lecturer in Corporate Finance and

Accounting at the University of Burgos, Spain.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 196
• Erscheinungstermin: 29. November 2022
• Englisch
• ISBN-13: 9783031190513
• Artikelnr.: 66764242

Autorenporträt

David Blanco-Alcántara is a Senior Lecturer in Corporate Finance at the University of Burgos, Spain.   Fernando García-Moreno Rodríguez is a Senior Lecturer in Administrative Law in the Faculty of Law, University of Burgos, Spain.   Óscar López-de-Foronda Pérez is a Senior Lecturer in Corporate Finance and Accounting at the University of Burgos, Spain.

Inhaltsangabe

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.