Data envelopment analysis (DEA) is non-parametric linear programming (LP) based technique for estimating the relative efficiency of different decision making units (DMUs) assessing the homogeneous type of multiple-inputs and multiple-outputs. The procedure does not require a priori knowledge of weights, while the main concern of this non-parametric technique is to estimate the optimal weights o...

In this research, efficiency of Iranian forest and rangeland decision making unit was assessed using non-parametric method. Inputs and outputs determined by field research and with applying a Delphi method the final input and output variables selected. Forty five wood-producing units (forestry plans) in three northern Iranian province were studied using Data Envelopment Analysis. The efficiency...

in this study, the optimization of energy consumption and reduction of greenhouse gas emissions of irrigated lentil production in esfahan province were conducted using data envelopment analysis (dea) method. the used data were collected randomly from 140 lentil producers using a face to face questionnaire method in the cropping season of 2014-2015. based on two dea models of constant returns to...

In this article, we will estimate efficiency amountof decision-making unit by offering the continuous piecewise polynomialextrapolation and interpolation by CCR model input-oriented on the assumptionthat it is constant returns to scale in different times. And finally, we willestimate efficiency amount of decision-making unit indifferent times byoffering an example.

This study investigates the directional return to scale of biological institutions in the China Science Academy. In the first stage, the input-output indicators provided including staff, budget of studies, SCI articles, high quality articles and graduate education, etc. In the second stage, the method proposed by Yang (2012) was used to analyse directional return to scale and directional conges...

This paper discusses various statistics for testing hypotheses regarding returns to scale in the context of non-parametric models of technical efficiency. In addition, the paper presents bootstrap estimation procedures which yield appropriate critical values for the test statistics. Evidence on the true sizes and power of the various proposed tests is obtained from Monte-Carlo experiments. This...

The paper considers the problem of collective action in an economy with heterogeneous agents. It analyses the effects of resource inequality, valuation heterogeneity, and group size on the expected total provision level of pure public goods with increasing or decreasing returns to scale in production. I find that higher average resource and valuation levels among the agents lead to higher provi...