In this paper, a stochastic frontier model accounting for spatial dependency is developed using generalized maximum entropy estimation. An application is made for measuring total factor productivity in European agriculture. The empirical results show that agricultural productivity growth in Europe is driven by upward movements of technology over time through technological developments. Results are then compared for a situation in which spatial dependency in the technical inefficiency effects is not accounte
The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for E...
A generalized maximum entropy approach is adapted to empirically estimate crop-specific production t...
This paper deals with an alternative approach to combine spatial dependence and stochastic frontier ...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
The article aims at providing a suitable measure of total factor productivity (TFP) levels within th...
Generalised maximum entropy methods are used to estimate a dual model of production on panel data of...
It has been recognized that modeling agricultural productivity growth and inefficiency is a challeng...
In theoretical literature on productivity, the disturbance terms of the stochastic frontier model ar...
A Generalized Maximum Entropy (GME) approach is adapted to empirically estimate crop-specific produc...
In this paper an output distance function framework is exploited to analyse the agricultural Polish ...
A widely known obstacle for analyses of agricultural production systems is the lack of activity spec...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
An approach to incorporate spatial dependence into Stochastic Frontier analysis is developed and app...
This paper demonstrates a robust maximum entropy approach to estimating flexible-form farm-level mul...
The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for E...
A generalized maximum entropy approach is adapted to empirically estimate crop-specific production t...
This paper deals with an alternative approach to combine spatial dependence and stochastic frontier ...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
The article aims at providing a suitable measure of total factor productivity (TFP) levels within th...
Generalised maximum entropy methods are used to estimate a dual model of production on panel data of...
It has been recognized that modeling agricultural productivity growth and inefficiency is a challeng...
In theoretical literature on productivity, the disturbance terms of the stochastic frontier model ar...
A Generalized Maximum Entropy (GME) approach is adapted to empirically estimate crop-specific produc...
In this paper an output distance function framework is exploited to analyse the agricultural Polish ...
A widely known obstacle for analyses of agricultural production systems is the lack of activity spec...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
An approach to incorporate spatial dependence into Stochastic Frontier analysis is developed and app...
This paper demonstrates a robust maximum entropy approach to estimating flexible-form farm-level mul...
The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for E...
A generalized maximum entropy approach is adapted to empirically estimate crop-specific production t...
This paper deals with an alternative approach to combine spatial dependence and stochastic frontier ...