A Generalized Maximum Entropy (GME) approach is adapted to empirically estimate crop-specific production technologies in Chinese agriculture. Despite a modest behavior assumption about equal marginal returns of non-land inputs among crops, this method does not require price information, which is usually distorted in a centrally planned economy such as China. Multi-output technologies for seven regions over more than two decades are estimated, and input allocations for each province are recovered simultaneously. The estimated multi-output production technology and input allocations imply that China may have greater grain production potentials than previously thought.Non-PRIFPRI1; GRP3; Theme 9EPTD; DSG
We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (...
A new information-based approach for estimating systems of many equations with nonnegativity constra...
The concentration of crop cultivation can be measured in terms of spatial clustering and of inequali...
A generalized maximum entropy approach is adapted to empirically estimate crop-specific production t...
A Generalized Maximum Entropy (GME) approach is adapted to empirically estimate crop-specific produc...
Generalised maximum entropy methods are used to estimate a dual model of production on panel data of...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
This paper demonstrates a robust maximum entropy approach to estimating flexible-form farm-level mul...
Agriculture and Agri-Food Canada (AAFC) has an ongoing research program to provide information on th...
Cet article a pour objet de montrer comment la méthode d'entropie maximum généralisée (GME) peut êtr...
Optimizing crop planting structures under the influence of climate change and human activities is cr...
Purpose – The purpose of this paper is to outline a version of SinoTERM, a multi-regional computable...
R&D activities by one industry often have positive effects on the productivity performance of other ...
In this paper an output distance function framework is exploited to analyse the agricultural Polish ...
The agricultural foundation is weak in Gansu Province. In recent years, with the implementation of v...
We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (...
A new information-based approach for estimating systems of many equations with nonnegativity constra...
The concentration of crop cultivation can be measured in terms of spatial clustering and of inequali...
A generalized maximum entropy approach is adapted to empirically estimate crop-specific production t...
A Generalized Maximum Entropy (GME) approach is adapted to empirically estimate crop-specific produc...
Generalised maximum entropy methods are used to estimate a dual model of production on panel data of...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
This paper demonstrates a robust maximum entropy approach to estimating flexible-form farm-level mul...
Agriculture and Agri-Food Canada (AAFC) has an ongoing research program to provide information on th...
Cet article a pour objet de montrer comment la méthode d'entropie maximum généralisée (GME) peut êtr...
Optimizing crop planting structures under the influence of climate change and human activities is cr...
Purpose – The purpose of this paper is to outline a version of SinoTERM, a multi-regional computable...
R&D activities by one industry often have positive effects on the productivity performance of other ...
In this paper an output distance function framework is exploited to analyse the agricultural Polish ...
The agricultural foundation is weak in Gansu Province. In recent years, with the implementation of v...
We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (...
A new information-based approach for estimating systems of many equations with nonnegativity constra...
The concentration of crop cultivation can be measured in terms of spatial clustering and of inequali...