TY - JOUR
T1 - The role of local institutional quality for the digital and environmental transitions in Italy
AU - Pronti, Andrea
AU - Zoboli, Roberto
PY - 2024
Y1 - 2024
N2 - In this paper we analyze the effect of institutional quality on the so-called Twin transition at provincial level in Italy. To carry out the analysis, we use two proxies for the ecological transition, namely waste management and air pollution, and two proxies for the digital transition, namely ultra-wide band connections and provincial innovative start-ups. All the models are estimated on a panel of 103 provinces with a time dimension that varies for the different dependent variables. We employ Spatial Durbin Model estimator to take into account spatial dependence across provinces. Our findings indicate that the quality of local institutions may have an important role for the ecological transition, but not for the digital transition. Higher levels of institutional quality increase the performance in waste management and reduce the level of local air pollution. Conversely, the estimated coefficient of institutional quality is not statistically significant neither for ultra-wide band nor for innovative start-ups. Institutional quality turns to be significant but negative for the digital transition when dummy variable controlling for the presence of science-oriented university is added in the model specification. These results confirm that the green transition is largely policy-driven and the local ‘institutional environment’ is an essential ingredient for its effectiveness. The driving forces of the digital transition, instead, can be better found in socioeconomic factors that depend on the ‘economic quality’ of the local system and its propensity to innovate within larger-scale innovation trajectories.
AB - In this paper we analyze the effect of institutional quality on the so-called Twin transition at provincial level in Italy. To carry out the analysis, we use two proxies for the ecological transition, namely waste management and air pollution, and two proxies for the digital transition, namely ultra-wide band connections and provincial innovative start-ups. All the models are estimated on a panel of 103 provinces with a time dimension that varies for the different dependent variables. We employ Spatial Durbin Model estimator to take into account spatial dependence across provinces. Our findings indicate that the quality of local institutions may have an important role for the ecological transition, but not for the digital transition. Higher levels of institutional quality increase the performance in waste management and reduce the level of local air pollution. Conversely, the estimated coefficient of institutional quality is not statistically significant neither for ultra-wide band nor for innovative start-ups. Institutional quality turns to be significant but negative for the digital transition when dummy variable controlling for the presence of science-oriented university is added in the model specification. These results confirm that the green transition is largely policy-driven and the local ‘institutional environment’ is an essential ingredient for its effectiveness. The driving forces of the digital transition, instead, can be better found in socioeconomic factors that depend on the ‘economic quality’ of the local system and its propensity to innovate within larger-scale innovation trajectories.
KW - Digital transition
KW - European Green Deal
KW - Spatial Durbin Watson
KW - Sustainability transition
KW - Digital transition
KW - European Green Deal
KW - Spatial Durbin Watson
KW - Sustainability transition
UR - http://hdl.handle.net/10807/296697
U2 - 10.1016/j.strueco.2024.09.002
DO - 10.1016/j.strueco.2024.09.002
M3 - Article
SN - 0954-349X
SP - 689
EP - 705
JO - Structural Change and Economic Dynamics
JF - Structural Change and Economic Dynamics
ER -