Tesi etd-10272022-174708
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Tipo di tesi
Corso Ordinario Secondo Livello
Autore
UGHI, ANTONIO
URN
etd-10272022-174708
Titolo
Drivers and implications of firms digital technology adoption. Evidence from an Italian policy.
Struttura
Cl. Sc. Sociali - Scienze Economiche
Corso di studi
SCIENZE ECONOMICHE E MANAGERIALI - SCIENZE ECONOMICHE E MANAGERIALI
Commissione
relatore Prof. ROVENTINI, ANDREA
Relatore Prof. MINA, ANDREA
Presidente Prof. PICCALUGA, ANDREA MARIO CUORE
Membro Dott.ssa CANTARELLI, PAOLA
Membro Prof. NUVOLARI, ALESSANDRO
Membro Prof. FAGIOLO, GIORGIO
Membro Prof. MONETA, ALESSIO
Relatore Prof. MINA, ANDREA
Presidente Prof. PICCALUGA, ANDREA MARIO CUORE
Membro Dott.ssa CANTARELLI, PAOLA
Membro Prof. NUVOLARI, ALESSANDRO
Membro Prof. FAGIOLO, GIORGIO
Membro Prof. MONETA, ALESSIO
Parole chiave
- Adoption subsidies
- Advanced manufacturing
- Digital
- Industrial strategy
- Industry 4.0
- Technology diffusion
Data inizio appello
02/12/2022;
Disponibilità
parziale
Riassunto analitico
The application of new digital technologies to production has the potential to improve the performance of firms. Nonetheless, the diffusion of new digital technologies has been heterogeneous, as well as the productivity gains from adoption. The aim of this work is to study the drivers behind new 4.0 technology adoption, and the implications of technological upgrading for productivity dynamics. To reach this goal, we use data on the Nuova Sabatini policy scheme, an important measure adopted in Italy over the last few years, aimed at ease investments both in standard and 4.0 technological assets. First, we employ a linear probability model to explore the drivers behind digital technology adoption. Second, in a Difference-in-Difference set-up, we look at the differential labor productivity dynamics of firms investing in advanced technologies vis-à-vis those installing ordinary capital. The work exploits the rare opportunity of combining confidential data from the Ministry of Economic Development (MiSE) and financial data from the complete business register of the Italian Chambers of Commerce (InfoCamere). Results show how self-selection into the two policy segments reflects ex-ante structural differences among firms, regardless of the higher subsidy provided for investments in 4.0 technologies. In particular, larger, more productive, and financially healthier firms are those that invest in new advanced technologies. Furthermore, larger firms that invest in 4.0 technologies are those experiencing higher gains from adoption, widening productivity divergences.
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