Francesco Vidoli
Biographic Data
| ID | 255331 |
|---|---|
| NAME | Francesco Vidoli |
| GIVEN NAMES | Francesco |
| FAMILY NAME | Vidoli |
| SIGNATURE | VIDOLI F |
| AFFILIATIONS | University of Urbino |
| ORCID | 0000-0003-4125-9337 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 27 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Demographic and economic drivers of healthcare system capacity in Italy
Better politicians, fewer deaths? Local resilience in overcoming the pandemic crisis in Italy
The quality of institutions is widely recognized as a key determinant of public sector performance across various levels of governance. This paper investigates how institutional quality shaped the resilience of Italian Labour Market Areas during the COVID-19 pandemic. To this end, we introduce a localized, non-parametric Interrupted Time Series (ITS) approach, using long-run mortality data (2004-2023), to construct a data-driven, local-level resi…
Identifying and Mapping Industrial Districts Through a Spatially Constrained Cluster‐Wise Regression Approach
The aim of this article is to exploit an innovative spatial econometric approach to map and study the evolving patterns of industrial districts (IDs). The procedure can be classified as a ‐means cluster‐wise regression procedure and is designed to detect homogeneous areas of subcontracting activity. These spatially contiguous aggregations of subcontractors are identified in terms of production function homogeneity and are defined as spatial regim…
Fuzzy Inference System for Measuring Composite Indicators' Overall Quality
How does institutional quality affect the efficiency of local government? An assessment of Italian municipalities
This study investigates the role of institutional quality in the cost efficiency of social services provided by local governments in Italy. Using a newly developed panel stochastic frontier approach, we address the issue of endogeneity, which can lead to biased estimates in efficiency analyses. By analysing a large dataset of social services expenditures in Italian municipalities from 2015 to 2018, we assess the impact of provincial institutional…
Do municipal unions improve cost efficiency for the social function? A quasi‐experimental endogenous stochastic frontier approach
Homogeneous national policies can generate heterogeneous effects on the territory. This paper aims to verify the impact of the entry of single Italian municipalities into an inter‐municipal association on the unitary costs of the social services supplied to the local communities. Panel cost stochastic frontier model in the presence of endogeneity has been introduced based on two pillars: a counterfactual setting to verify the aggregation effects …
Harnessing Spatial Heterogeneity in Composite Indicators through the Ordered Geographically Weighted Averaging ( Ogwa ) Operator
Spatially heterogeneous weights and a non‐compensatory aggregation scheme, are two important properties needed to construct a composite indicator capable of summarizing properly the multidimensional phenomenon of local spatial units. Such a composite indicator takes into account, on the one hand, the latent characteristics of the specific units related to their location in the territory, and on the other hand, the relative importance of sub‐indic…
It never rains but it pours
This study examines the impact of austerity measures on mortality rates across Italian regions from 2003 to 2018. Since 2007, regions experiencing substantial healthcare financial deficits have been required to implement recovery plans (RPs). We use a recent difference-in-differences staggered matching estimator to assess the effects of this austerity policy on municipal-level monthly mortality rates. This allows us to evaluate the policy's spati…
Ordered weighted averaging for the evaluation of urban inequality in sao Sebastião Do Paraíso
Stochastic frontier estimation through parametric modelling of quantile regression coefficients
Stochastic frontiers are a very popular tool used to compare production units in terms of efficiency. The parameters of this class of models are usually estimated through the use of the classic maximum likelihood method even, in the last years, some authors suggested to conceive and estimate the productive frontier within the quantile regression framework. The main advantages of the quantile approach lie in the weaker assumptions about data distr…
Formal cooperation and the performance of Italian firms operating inside and outside industrial districts
This paper discusses the impact of formal cooperation on the performance of Italian firms operating inside and outside industrial districts (IDs). The analysis is focused on a policy tool ( Contratti di Rete or network agreements) introduced in Italy to promote the use of non-equity alliances among smaller firms. We claim that the impact of both inward- and outward-looking partnerships is moderated by the local environment in which member firms a…
Investigating space‐time patterns of regional industrial resilience through a micro‐level approach
This paper introduces a new methodology to identify space‐time patterns of regional resilience using a micro‐level approach. The novel empirical tool combines geographically weighted regression with panel stochastic frontier analysis with endogenous covariates. The analysis is implemented on a panel of farm holdings operating in the Italian wine industry, focusing on the impact of a major institutional change. The results show the effectiveness o…
A comprehensive model for the evaluation of standard expenditure needs and standard level of local services
This paper addresses the problem of the simultaneous evaluation of local governments’ standard expenditure needs together with the related level of standard public services proposing a new approach to fiscal equalisation based on quantitative methods. Standard expenditure needs are estimated using quantile regression, moreover robust non-parametric methods are employed for the computation of composite indicators of demand and supply factors. Data…
Spatial heterogeneity in non-parametric efficiency
Level of services, spatial dependence and allocative efficiency in local governments
In the public economics literature expenditure needs, allocative efficiency and spatial dependence of local governments costs have been widely analysed separately implying bias estimations of the expenditure needs at local level. An original procedure that simultaneously takes into account the standard level of services, the allocative efficiency and the spatial proximity among Municipalities, has been proposed. The estimation strategy has been a…
Non-compensability in Composite Indicators
Non-compensability in Composite Indicators
Level of services, spatial dependence and allocative efficiency in local governments
In the public economics literature expenditure needs, allocative efficiency and spatial dependence of local governments costs have been widely analysed separately implying bias estimations of the expenditure needs at local level. An original procedure that simultaneously takes into account the standard level of services, the allocative efficiency and the spatial proximity among Municipalities, has been proposed. The estimation strategy has been a…
A comprehensive model for the evaluation of standard expenditure needs and standard level of local services
This paper addresses the problem of the simultaneous evaluation of local governments’ standard expenditure needs together with the related level of standard public services proposing a new approach to fiscal equalisation based on quantitative methods. Standard expenditure needs are estimated using quantile regression, moreover robust non-parametric methods are employed for the computation of composite indicators of demand and supply factors. Data…
Spatial heterogeneity in non-parametric efficiency
Fuzzy Inference System for Measuring Composite Indicators' Overall Quality
How does institutional quality affect the efficiency of local government? An assessment of Italian municipalities
This study investigates the role of institutional quality in the cost efficiency of social services provided by local governments in Italy. Using a newly developed panel stochastic frontier approach, we address the issue of endogeneity, which can lead to biased estimates in efficiency analyses. By analysing a large dataset of social services expenditures in Italian municipalities from 2015 to 2018, we assess the impact of provincial institutional…
Ordered weighted averaging for the evaluation of urban inequality in sao Sebastião Do Paraíso
Formal cooperation and the performance of Italian firms operating inside and outside industrial districts
This paper discusses the impact of formal cooperation on the performance of Italian firms operating inside and outside industrial districts (IDs). The analysis is focused on a policy tool ( Contratti di Rete or network agreements) introduced in Italy to promote the use of non-equity alliances among smaller firms. We claim that the impact of both inward- and outward-looking partnerships is moderated by the local environment in which member firms a…
Non-compensability in Composite Indicators
Level of services, spatial dependence and allocative efficiency in local governments
In the public economics literature expenditure needs, allocative efficiency and spatial dependence of local governments costs have been widely analysed separately implying bias estimations of the expenditure needs at local level. An original procedure that simultaneously takes into account the standard level of services, the allocative efficiency and the spatial proximity among Municipalities, has been proposed. The estimation strategy has been a…
Spatial heterogeneity in non-parametric efficiency
Investigating space‐time patterns of regional industrial resilience through a micro‐level approach
This paper introduces a new methodology to identify space‐time patterns of regional resilience using a micro‐level approach. The novel empirical tool combines geographically weighted regression with panel stochastic frontier analysis with endogenous covariates. The analysis is implemented on a panel of farm holdings operating in the Italian wine industry, focusing on the impact of a major institutional change. The results show the effectiveness o…
A comprehensive model for the evaluation of standard expenditure needs and standard level of local services
This paper addresses the problem of the simultaneous evaluation of local governments’ standard expenditure needs together with the related level of standard public services proposing a new approach to fiscal equalisation based on quantitative methods. Standard expenditure needs are estimated using quantile regression, moreover robust non-parametric methods are employed for the computation of composite indicators of demand and supply factors. Data…
Formal cooperation and the performance of Italian firms operating inside and outside industrial districts
This paper discusses the impact of formal cooperation on the performance of Italian firms operating inside and outside industrial districts (IDs). The analysis is focused on a policy tool ( Contratti di Rete or network agreements) introduced in Italy to promote the use of non-equity alliances among smaller firms. We claim that the impact of both inward- and outward-looking partnerships is moderated by the local environment in which member firms a…
Stochastic frontier estimation through parametric modelling of quantile regression coefficients
Stochastic frontiers are a very popular tool used to compare production units in terms of efficiency. The parameters of this class of models are usually estimated through the use of the classic maximum likelihood method even, in the last years, some authors suggested to conceive and estimate the productive frontier within the quantile regression framework. The main advantages of the quantile approach lie in the weaker assumptions about data distr…
Do municipal unions improve cost efficiency for the social function? A quasi‐experimental endogenous stochastic frontier approach
Homogeneous national policies can generate heterogeneous effects on the territory. This paper aims to verify the impact of the entry of single Italian municipalities into an inter‐municipal association on the unitary costs of the social services supplied to the local communities. Panel cost stochastic frontier model in the presence of endogeneity has been introduced based on two pillars: a counterfactual setting to verify the aggregation effects …
Harnessing Spatial Heterogeneity in Composite Indicators through the Ordered Geographically Weighted Averaging ( Ogwa ) Operator
Spatially heterogeneous weights and a non‐compensatory aggregation scheme, are two important properties needed to construct a composite indicator capable of summarizing properly the multidimensional phenomenon of local spatial units. Such a composite indicator takes into account, on the one hand, the latent characteristics of the specific units related to their location in the territory, and on the other hand, the relative importance of sub‐indic…
It never rains but it pours
This study examines the impact of austerity measures on mortality rates across Italian regions from 2003 to 2018. Since 2007, regions experiencing substantial healthcare financial deficits have been required to implement recovery plans (RPs). We use a recent difference-in-differences staggered matching estimator to assess the effects of this austerity policy on municipal-level monthly mortality rates. This allows us to evaluate the policy's spati…
Ordered weighted averaging for the evaluation of urban inequality in sao Sebastião Do Paraíso
Identifying and Mapping Industrial Districts Through a Spatially Constrained Cluster‐Wise Regression Approach
The aim of this article is to exploit an innovative spatial econometric approach to map and study the evolving patterns of industrial districts (IDs). The procedure can be classified as a ‐means cluster‐wise regression procedure and is designed to detect homogeneous areas of subcontracting activity. These spatially contiguous aggregations of subcontractors are identified in terms of production function homogeneity and are defined as spatial regim…
Fuzzy Inference System for Measuring Composite Indicators' Overall Quality
How does institutional quality affect the efficiency of local government? An assessment of Italian municipalities
This study investigates the role of institutional quality in the cost efficiency of social services provided by local governments in Italy. Using a newly developed panel stochastic frontier approach, we address the issue of endogeneity, which can lead to biased estimates in efficiency analyses. By analysing a large dataset of social services expenditures in Italian municipalities from 2015 to 2018, we assess the impact of provincial institutional…
Demographic and economic drivers of healthcare system capacity in Italy
Better politicians, fewer deaths? Local resilience in overcoming the pandemic crisis in Italy
The quality of institutions is widely recognized as a key determinant of public sector performance across various levels of governance. This paper investigates how institutional quality shaped the resilience of Italian Labour Market Areas during the COVID-19 pandemic. To this end, we introduce a localized, non-parametric Interrupted Time Series (ITS) approach, using long-run mortality data (2004-2023), to construct a data-driven, local-level resi…
Computer Science (11 works) · Econometrics (11 works) · Economics (9 works) · Mathematics (8 works) · Geography (6 works) · Business (5 works) · Political science (5 works) · Public economics (5 works) · Spatial and Panel Data Analysis (5 works) · Efficiency Analysis Using DEA (4 works)