In recent years, spatial dependence in production frontier models has attracted considerable
research attention. This is explained, among other things, by the observation that in many …

We analyze the spatial relationships of economic output dynamics in European regions from
2000 to 2019 using dynamic spatial autoregressive growth models. In contrast to previous …

Abstract By integrating Battese and Coelli's (1995) model and the spatial autoregressive
model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed …

This paper elaborates on the Italian North–South divide by endorsing a Kaldor–Verdoorn
perspective. To assess the endogenous relationship between labour productivity, capital …

We make the case for a technology-enabled approach to Smart Specialisation policymaking
aimed at increasing its effectiveness by assessing the general equilibrium effects of the …

An important channel through which less developed European countries have grown over
the past twenty years is through the industrial transformation of their economies from low to …

Applying a spatialized data envelopment analysis, this paper estimates and analyzes the
efficiency of European Union NUTS‐2 regions during the period 2000–2014. The space …

This paper develops a spatial Durbin stochastic frontier model for panel data introducing
spillover effects in the determinants of technical efficiency (SDF-STE). The model nests …

Spatial correlation and individual effects are two key sources of heterogeneity that should be
handled in empirical applications investigating the productive performance of firms …

Spatial dependence in stochastic frontier models is usually handled by modelling the frontier
function or the inefficiency error term through the introduction of some spatial components …