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Fraud and corruption in EU funding =...

Blanco-Alcantara, David.

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Fraud and corruption in EU funding = the problematic use of European funds and solutions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fraud and corruption in EU funding/ edited by David Blanco-Alcantara, Fernando Garcia-Moreno Rodriguez, Oscar Lopez-de-Foronda Perez.
Reminder of title:	the problematic use of European funds and solutions /
other author:	Blanco-Alcantara, David.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvi, 196 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Fraud - Law and legislation - European Union countries. -
Online resource:	https://doi.org/10.1007/978-3-031-19051-3
ISBN:	9783031190513

Fraud and corruption in EU funding = the problematic use of European funds and solutions /
Fraud and corruption in EU fundingthe problematic use of European funds and solutions /[electronic resource] :edited by David Blanco-Alcantara, Fernando Garcia-Moreno Rodriguez, Oscar Lopez-de-Foronda Perez. - Cham :Springer International Publishing :2022. - xvi, 196 p. :ill., digital ;24 cm. - Palgrave macmillan studies in banking and financial institutions,2523-3378. - Palgrave macmillan studies in banking and financial institutions..

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.

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.

ISBN: 9783031190513

Standard No.: 10.1007/978-3-031-19051-3doiSubjects--Topical Terms:

3608873
Fraud
--Law and legislation--European Union countries.

LC Class. No.: KJE8643 / .F82 2022

Dewey Class. No.: 345.240263

Fraud and corruption in EU funding = the problematic use of European funds and solutions /
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505 0 $a 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.
520 $a 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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