Relatore: Dott. Gianluca Bortoletto, DEAMS

Abstract:

The aim of the project is to deepen some crucial aspects of the dynamic co-evolution of technical change, tasks and employment in a regional context. The initial purpose is to prepare a micro-level database for the Friuli Venezia Giulia (FVG) Region, which is the result of different datasets containing skills, a set of new technologies at  firm level (i.e. financed project for digitalization or Industry 4.0)  and a measure of skill-technology  complementarity.  The  level  of  tasks  routinization  is  in  fact  deeply  correlated  with  the intensity  of  innovation  in  the  production  processes.  The consequence is that the routinized tasks are highly exposed to automatization by intelligent machines with relevant effects on employment turnover and composition.  An  additional  research  product  is  the  extension  of  the  FVG-Model  to  the  European regions with similar innovation score (RIS score), in order to highlight the potential co-movement in the complementarity  between  technological  choices  and  skills.  The  longitudinal  analysis  at  the  regional-sectoral  micro-level is based  on the  time period  2009-2019. The empirical results are useful for policymaking  in  a  context  of  occupational  change,  giving  a  clear  definition  of  the  causal  relationship between the variation of skill standardization, employment structure and unequal regional growth with an increasing level of deprivation.

(L'evento si svolge nell'ambito del ciclo di seminari organizzati da docenti e ricercatori del DEAMS)