Overview
- Analyses the use of European Funds between countries to gather insight for better use of these economic aids
- Explores ways to strengthen fraud detection, response, and coordination between different member state
- Offers an in-depth analysis of fraud in the framework of public procurement
Part of the book series: Palgrave Macmillan Studies in Banking and Financial Institutions (SBFI)
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About this book
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.
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Keywords
Table of contents (5 chapters)
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Fraud and Corruption in EU Funding
Book Subtitle: The Problematic Use of European Funds and Solutions
Editors: David Blanco-Alcántara, Fernando García-Moreno Rodríguez, Óscar López-de-Foronda Pérez
Series Title: Palgrave Macmillan Studies in Banking and Financial Institutions
DOI: https://doi.org/10.1007/978-3-031-19051-3
Publisher: Palgrave Macmillan Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-19050-6Published: 30 November 2022
Softcover ISBN: 978-3-031-19053-7Published: 01 December 2023
eBook ISBN: 978-3-031-19051-3Published: 29 November 2022
Series ISSN: 2523-336X
Series E-ISSN: 2523-3378
Edition Number: 1
Number of Pages: XVI, 196
Number of Illustrations: 4 b/w illustrations, 34 illustrations in colour
Topics: Financial Services, Finance, general, Public Finance, White Collar Crime