1,720,976 research outputs found
Stima di indicatori di dotazione infrastrutturale sulla base di modelli di disaggregazione spaziale
No full textCONTROLLING FOR SPATIAL HETEROGENEITY IN NONPARAMETRIC EFFICIENCY MODELS: AN EMPIRICAL PROPOSAL
No full textSpatial Composite and Disaggregate Indicators: Chow-Lin Methods and Applications
No full textThe present paper aims to verify a statistical procedure that allows for the
transition from aggregate indicators to disaggregate indicators, whereas in this case, the
terms aggregate/disaggregate refer to territorial areas and not to categories. More
specifically, an attempt was made to reconstruct the indicators of the infrastructural
endowment at the provincial level (in Italy) on the basis of analogous indicators that are
available at the regional level. For such purposes, Chow-Lin’s approach was followed,
and some regressors representing the territorial demand for infrastructure, related to
productive, demographic and tourist aspects were used. The comparison between the
results obtained through the application of the mentioned approach and the “real” data
(available at the provincial level) in effect allows for the verification of the coherence
among factors of demand and the real distribution of the infrastructure in Italy
Local governments, expenditure needs and level of services: a parametric approximation of nonparametric robust frontier approach
No full textSustainable budgeting and financial balance: Which lever will you pull?
No full textDuring the past few decades, countries have experienced a remarkable increase in local expenditure levels to address rising local needs. However, the limited availability of financial resources, exacerbated first by the 2008 financial crisis and then by Covid19 crisis, has called for budget restrictions usually imposed by higher levels of government. In this paper, we evaluate the impact of a balance budget rule enforcement, exploring its effect on the local government cost efficiency and, in particular, considering the complex trade-off between efficiency and equity. Specifically, our identification strategy considers the exogenous introduction of a new budget balance rule that requires local governments to respect both an annual and a longer-term equilibrium criterion. The difference-in-differences analysis builds on a rich panel dataset covering all the public functions. We find that, on average, the budget rule enforcement exerted a positive effect on local government efficiency
Stochastic frontier estimation through parametric modelling of quantile regression coefficients
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A comprehensive model for the evaluation of standard expenditure needs and standard level of local services
No full textThis 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 from English local authorities over the period 1997–2006 have been used to test the internal and external validity of the model
Spatial heterogeneity in non-parametric efficiency: An application to Italian hospitals
No full textThis paper introduces a new empirical procedure for the estimation of hospitals' technical efficiency in presence of spatial heterogeneity. We propose a methodology that allows treating spatial heterogeneity independently of a predetermined reference to administrative borders. We define geographical spatial regimes, characterised by spatial proximity and homogeneity of relevant demand characteristics, within which to assess the efficiency of hospitals. The methodology has then been tested on a large sample of Italian hospitals, for which their production efficiency has been assessed within homogeneous demand areas
SPATIAL NONSTATIONARITY IN THE STOCHASTIC FRONTIER MODEL: AN APPLICATION TO THE ITALIAN WINE INDUSTRY
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