A widely known obstacle for analyses of agricultural production systems is the lack of activity specific input data. A set of production functions for the case of agriculture in Khorezm (Uzbekistan) is estimated based on aggregated input data by employing 'maximum entropy'
Water scarcity and land degradation increases led to a sharp rise in input resource’s costs. These d...
This paper develops a model to estimate agricultural land use at a disaggregated level using aggrega...
This paper proposes and applies an innovative estimation approach for farm group programming models ...
A widely known obstacle for analyses of agricultural production systems is the lack of activity spec...
This paper demonstrates a robust maximum entropy approach to estimating flexible-form farm-level mul...
Production economics problems are often ill-posed. This means that the number of parameters to be es...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
Hydrological processes are irreversible and produce entropy. Hence, the framework of non-equilibrium...
Onderzoekspaper ; BEDR/1997/05 Diffusion du document : INRA Unité d'Economie et Sociologie rurales 6...
The paper describes the approach used for the calibration of a price-endogenous programming model, d...
Generalised maximum entropy methods are used to estimate a dual model of production on panel data of...
A generalized maximum entropy approach is adapted to empirically estimate crop-specific production t...
In this paper an output distance function framework is exploited to analyse the agricultural Polish ...
Cet article a pour objet de montrer comment la méthode d'entropie maximum généralisée (GME) peut êtr...
Agriculture and Agri-Food Canada (AAFC) has an ongoing research program to provide information on th...
Water scarcity and land degradation increases led to a sharp rise in input resource’s costs. These d...
This paper develops a model to estimate agricultural land use at a disaggregated level using aggrega...
This paper proposes and applies an innovative estimation approach for farm group programming models ...
A widely known obstacle for analyses of agricultural production systems is the lack of activity spec...
This paper demonstrates a robust maximum entropy approach to estimating flexible-form farm-level mul...
Production economics problems are often ill-posed. This means that the number of parameters to be es...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
Hydrological processes are irreversible and produce entropy. Hence, the framework of non-equilibrium...
Onderzoekspaper ; BEDR/1997/05 Diffusion du document : INRA Unité d'Economie et Sociologie rurales 6...
The paper describes the approach used for the calibration of a price-endogenous programming model, d...
Generalised maximum entropy methods are used to estimate a dual model of production on panel data of...
A generalized maximum entropy approach is adapted to empirically estimate crop-specific production t...
In this paper an output distance function framework is exploited to analyse the agricultural Polish ...
Cet article a pour objet de montrer comment la méthode d'entropie maximum généralisée (GME) peut êtr...
Agriculture and Agri-Food Canada (AAFC) has an ongoing research program to provide information on th...
Water scarcity and land degradation increases led to a sharp rise in input resource’s costs. These d...
This paper develops a model to estimate agricultural land use at a disaggregated level using aggrega...
This paper proposes and applies an innovative estimation approach for farm group programming models ...
DOI
Add to ORKG