By blending seminal literature on non-spatial stochastic frontier models with key
contributions to spatial econometrics we develop a spatial autoregressive (SAR) stochastic …

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 …

It is common in efficiency studies which analyse the environment for pollution to form part of
the production technology. Pollution therefore affects efficiency and the TFP growth …

We propose a spatial autoregressive stochastic frontier model, which allows for the
endogeneity in both the frontier and environmental variables (ie, endogeneity due to …

We investigated the role of spatial dependency in the technical efficiency estimates of rice
farmers using panel data from the Central Visayan island of Bohol in the Philippines …

We present the methodology for a new spatial decomposition of total factor productivity
(TFP) growth. The relevant literature is underdeveloped as there is just one short study …

Some education policy studies suggest that consolidation of public school districts saves
resources. However, endogeneity in cost models would result in incorrect estimates of the …

This research estimates the efficiency of a representative sample of Italian wine producers
from the Italian FADN survey following a recent spatial stochastic frontier framework that …

Unit specific effects are often used to estimate non-spatial efficiency. We extend such
estimators to the case where there is spatial autoregressive dependence and introduce the …

This article presents a novel modeling framework that quantifies spatial spillovers on firm
total factor productivity (TFP) growth and its components in a single‐stage setting. A random …