abstract present study used translog cost function for determining break point of paddy farms. requested data set include inputs’ prices and quantities, and production amounts had been acquired from 500 rice farmers of guilan province at 2009. model used in this study is seemingly unrelated regressions (sur). the results showed that labor and pesticides had the highest and lowest share of produ...

This paper discusses returns to scale (RTS) in data envelopment analysis (DEA) for each of the presently available types of models. The BCC and CCR models are treated in input oriented forms while the multiplicative model is treated in output oriented form. (This distinction is not pertinent for the additive model which simultaneously maximizes outputs and minimizes inputs in the sense of a vec...

Transport network expansions have been usually analyzed calculating returns to scale with variable network size (RTS), which has been shown to suffer from a number of shortcomings because, in the end, it attempts to capture as a scale property what in fact is related with scope, namely the addition of new products when a transport network expands. In this paper we develop a method to calculate ...

Robust measurement of scale elasticity (SE) in data envelopment analysis (DEA) models remains elusive, primarily reflecting the computational challenges brought about by the piecewise linear nature of the DEA technology. SE is meaningfully defined only at frontier points or at the projection of interior points to the frontier but not for the inefficient unit itself. A long held issue of concern...

the aim of this study was to assess the relative efficiency of the iranian forest management plans using the non-parametric method – data envelopment analysis (dea) as a well-known and robust technique for measuring the relative efficiency of organizations. the relative efficiency of forest management plans was calculated using the most frequency dea models such as global technical efficiency (...

in some data envelopment analysis (dea) applications, some inputs of dmus have negative values with positive cost. this paper generalizes the global cost malmquist productivity index to compare the productivity of dierent dmus with negative inputs in any two periods of times under variable returns to scale (vrs) technology, and then the generalized index is decomposed to several components. th...

In production theory, it is necessary to be capable of predicting the production func- tion’s long-run behaviors. Hereof, returns to scale is a helpful concept. Returns to scale describes the reaction of a production function to the proportionally scaling all its input variables. In this regard, Data envelopment analysis (DEA) provides a com- prehensive framework for returns to scale evaluation...