This paper examines the contrasting effects of local agglomeration in innovation activities
and the interregional networks derived from innovation collaboration on R&D productivity …

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 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 …

This paper develops a new stochastic frontier model that allows for cross-sectional (spatial)
correlation in both the noise and inefficiency terms, which are likely to be of a different …

In this article, we introduce a new command, xtsfsp, for fitting spatial stochastic frontier
models in Stata. Over the last decades, stochastic frontier models have seen important …

Cooperative banks primarily compete with one another because they target niche markets
that large banks typically ignore. The current study shows that in this competitive …

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 …

We investigate the impact of farmers' egocentric information network on technical efficiency
and its distribution in the network, using observational data of 600 farmers from northern …

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 …

This paper considers the estimation of a spatial autoregressive stochastic frontier model,
where the production frontier coefficients, as well as the spatial parameter, are allowed to …