Fraud and Corruption in EU Funding

The Problematic Use of European Funds and Solutions

David Blanco-Alcántara, Fernando García-Moreno Rodríguez, Óscar López-de-Foronda Pérez (Herausgeber)

Buch | Hardcover

XVI, 196 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-19050-6 (ISBN)

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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 Lecturer in Corporate Finance at the University of Burgos, Spain. Fernando García-Moreno Rodríguez is a 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.

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.

Erscheinungsdatum	01.12.2022
Reihe/Serie	Palgrave Macmillan Studies in Banking and Financial Institutions
Zusatzinfo	XVI, 196 p. 38 illus., 34 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	148 x 210 mm
Gewicht	406 g
Themenwelt	Recht / Steuern ► Strafrecht ► Kriminologie
	Recht / Steuern ► Wirtschaftsrecht ► Bank- und Kapitalmarktrecht
	Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung
	Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung
	Wirtschaft ► Volkswirtschaftslehre ► Finanzwissenschaft
	Wirtschaft ► Volkswirtschaftslehre ► Wirtschaftspolitik
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
ISBN-10	3-031-19050-5 / 3031190505
ISBN-13	978-3-031-19050-6 / 9783031190506
Zustand	Neuware