Fraud and Corruption in EU Funding

  1. David Blanco-Alcántara dir. 1
  2. Fernando García-Moreno Rodríguez dir. 1
  3. Óscar López-de-Foronda Pérez dir. 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Éditorial: Palgrave Macmillan Cham

ISSN: 2523-3378

ISBN: 978-3-031-19051-3,  978-3-031-19050-6

Année de publication: 2022

Pages: 1-196

Type: Livre

DOI: 10.1007/978-3-031-19051-3 GOOGLE SCHOLAR

Objectifs de Développement Durable

Résumé

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.