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DOTTRINA




                  The profound economic change represents a considerable opportunity for all the matrixes of  orga-
             nized crime, capable of  insinuating themselves well into the social and economic fabric without arousing
             particular attention from the investigators. The reference regulatory framework has changed considerably
             in recent years to respond to the threats posed by the phenomenon of  money laundering, although it is now
             of  a transnational nature and capable of  attacking several national economies, thus undermining the
             international economic-financial order. In support of  the innumerable tools provided by the legislation, the
             use of  econometric models intervenes, capable of  making controls more efficient and effective and above all
             directing them towards geographical areas most interested in the phenomenon of  money laundering, as well
             as economic sectors.
                  The examination of  the IARM Project returns a reference framework, working on the basis of
             sectoral and subnational data. Taking into consideration both information of  an economic nature but also
             feedback received from supervisory authorities and investigative bodies, it is possible to develop a risk indi-
             cator that refers to specific regions and sectors of  activity, indicating the sensitivity that they have with refe-
             rence to the phenomenon of  recycling. The formulation of  this indicator, taking various variables into con-
             sideration, can represent a starting point for subsequent investigations as well as a serious and objective
             evidence of  those areas and sectors on which to place an acceptance also in a preventive manner in order
             to guarantee not only a correct and efficient fight to recycling but also its prevention. In addition, the inve-
             stigative activity also represents a certain and efficient means of  collecting data to be inserted, then, in the
             appropriate databases. This allows, therefore, to provide new information capable of  guaranteeing more
             performing models and with increasingly reliable, complete and accurate results.

                                             !
             SOMMARIO: 1. Introduzione. - 2. Identificazione del fenomeno. - 3. Inquadramento nor-
                       mativo. - 4. Approccio statistico. - 5. Conclusioni.

             1.  Introduzione
                  Il nostro Paese sta vivendo un periodo storico di particolare rilievo storico
             ed economico di profondo cambiamento in considerazione dell’approvazione
             del Piano Nazionale di Ripresa e Resilienza, a supporto dell’economia profon-
             damente colpita dalla pandemia da Covid-19, dei Giochi Olimpici di Milano-
             Cortina (programmati per il prossimo febbraio 2026), e dell’inaspettata crescita
             del PIL. Si comprende, pertanto, come la nostra economia cambierà totalmen-
             te, volgendo la propria direzione ad uno sviluppo green e digitale, in cui la tra-
             sparenza e la collaborazione sia a livello nazionale, tra istituzioni e autorità, che
             a livello internazionale, tra paesi, faranno da fil rouge al fine di garantire una
             piena efficienza dei mercati nonché corretta applicazione delle normative.
                  La mobilitazione delle risorse economiche costituisce un’attrazione nei
             confronti di tutte le matrici della criminalità organizzata, in considerazione del-
             l’opportunità derivante dalla mimetizzazione nel tessuto sociale ed economico


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