In this paper we examine the significance of labour productivity and use of inputs in explaining technical efficiency of rice production in Bangladesh. We find that higher labour productivity can stimulate high efficiency gains, but increased use of inputs (except land) induces negative marginal...

Linear programming model and general reciprocity theorem in mathematical programming are used to ap-proach utility functions of six large-scale Russian (the Moscow Region) case farms representing different production patterns. Technological coefficients of linear programmes are defined by means...

We estimate an institutional production function to capture incentive induced growth in total factor productivity (TFP) of rice production in Bangladesh. The incentive component of TFP assists in explaining farmers' response to incentives due to major policy reforms during 1980s and 1990s.

This paper presents new results of mathematical modeling of economy and environment interaction. A model of mutual interaction of livestock farming - one in a two main agricultural branches - and natural pastures that are the essential part of livestock farming forage reserve is proposed....

This paper considers a general class of stochastic dynamic choice models with discrete and continuous decision variables. This class contains a variety of models that are useful for modeling intertemporal household decisions under risk. Our examples are drawn from the field of development...

This paper considers a general class of stochastic dynamic choice models with discrete and continuous decision variables. This class contains a variety of models that are useful for modeling intertemporal household decisions under risk. Our examples are drawn from the field of development...

The world meat market demands competitiveness and optimal livestock replacement decisions can help to achieve this goal. We introduce a novel discrete stochastic dynamic programming framework to support a manager's decision-making process of whether to sell or keep fattening animals in the beef...

In the domain of measuring productivity, the stochastic frontier (SF) model has advanced in leaps and bounds and attracted a large amount of academic attention. Inherently, the model utilises input/output combinations of production units as references to construct a frontier for measuring...

The formation of the European Union (EU) is the one of the biggest political – economic events of the last 50 years. The aim of this study is to develop EU economy functioning system dynamic model. Main research method is system dynamics. General scheme of EU economy system dynamic model is...

This paper employs a fully nonparametric stochastic frontier model with time and individual effects to study technical efficiency in China's post-reform economy. The panel data cover China's thirty provinces for the period of 1985–2008. The empirical results show that the average output...