In response to the COVID-19 pandemic, the Italian government increased financial support to universities. This paper examines the policy effect of increased funding on universities' efficiency in Italy. By focusing on both production and cost-efficiency, we use a panel dataset spanning 7 years (2017-2023) and employ the recently developed Generalized True Random Effect Stochastic Frontier model. Our findings reveal that the post-COVID-19 era is characterized by a statistically significant decline in both production and cost-efficiency, with a more marked decrease observed in cost-efficiency. This result indicates a reversal of the positive efficiency trend observed in Italian universities in the years immediately prior to this period. Moreover, we identify a homogeneous reduction in efficiency across geographic areas, suggesting that the negative effect is unrelated to specific initial conditions or management decisions in the short run.

Policy responses to COVID-19 and the efficiency of Italian universities

Agasisti T.;Bertoletti A.;Coppeta G. F.
2025-01-01

Abstract

In response to the COVID-19 pandemic, the Italian government increased financial support to universities. This paper examines the policy effect of increased funding on universities' efficiency in Italy. By focusing on both production and cost-efficiency, we use a panel dataset spanning 7 years (2017-2023) and employ the recently developed Generalized True Random Effect Stochastic Frontier model. Our findings reveal that the post-COVID-19 era is characterized by a statistically significant decline in both production and cost-efficiency, with a more marked decrease observed in cost-efficiency. This result indicates a reversal of the positive efficiency trend observed in Italian universities in the years immediately prior to this period. Moreover, we identify a homogeneous reduction in efficiency across geographic areas, suggesting that the negative effect is unrelated to specific initial conditions or management decisions in the short run.
2025
Efficiency
public university
stochastic frontier
COVID-19
Italy
I22
I23
I28
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1299206
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