In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

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 …

This paper aims at providing new micro-economic insights on how the different sources of
innovation, both internal and external to the firm, contribute to determining the economic …

Small-and medium-sized technology-based enterprises (technology-based SMEs) are an
important part of China's scientific and technological development. To a certain extent, the …

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 …

Since the late 1990s, spatial models have become a growing addition to econometric
research. They are characterized by attention paid to the location of observations (ie …

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 …

In this study, we employed the distance function to measure land efficiency (LE) and land
use efficiency (LUE) in Chinese urban and rural areas and used the difference-in …

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

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 …