Maize cultivation performance, including the efficiency of input and output maize, which reflect allocation utilization resources in process maize cultivation, is crucial for evaluating improving cultivation. This paper adopts method quadratic regression orthogonal rotation combination experimental design to explore effects four main measures (planting density, nitrogen fertilizer, phosphorus f...

Data envelopment analysis (DEA) is a method to evaluate the relative efficiency of decision making units (DMUs). In this method, the issue has always been to determine a set of weights for each DMU which often caused many problems. Since the DEA models also have the multi-objective linear programming (MOLP) problems nature, a rational relationship can be established between MOLP and DEA problem...

The efficiency measurement is a subject of great interest. The majority of studies on DEA models have been carried out using radial or non-radial approaches regarding the application of DEA for the efficiency measurement. This paper, based on the directional distance function, proposes a new generalized hybrid measure of efficiency under generalized returns to scale with the existence of both r...

In this article, we discuss a method for distributing a new input or output to a set of decision making units so that by the end of the distribution all units are considered efficient in the DEA-CCR concept. The formulation follows the pattern referred in the literature as parametric DEA. This paper’s contribution is introducing the possibility of modeling with the inclusion of constraints on t...

This paper discusses alternative methods for determining returns to scale in DEA. The methods for estimating returns to scale in DEA, as developed by Banker (1984), Banker, Charnes and Cooper (1984) and Banker and Thrall (1992), are proved to be conceptually equivalent to the two-stage methods of F~ire, Grosskopf and Lovell (1985) when their assumptions apply. Here the emphasis is on the CCR mo...

Data envelopment analysis (DEA) is the leading technique for assessing the efficiency of decision making units (DMU) in the presence of multiple inputs and outputs. The two milestone DEA models, namely the CCR (Charnes et al., 1978) and the BCC (Banker et al., 1984) models have become standards in the literature of performance measurement. Recent applications of DEA include, among others, those...

Abstract Nowadays among many evaluation methods, data envelopment analysis has widely used to evaluate the relative performance of a set of Decision Making Units (DMUs). Data Envelopment Analysis (DEA(is a mathematical tool for evaluating the relative efficiency of a set Decision Making Units (DMUs), with multiple inputs and outputs. Traditional DEA models treat with each DMU as a “black box" t...

In order to realize economic and social green development, to pave a pathway towards China’s green regional development and develop effective scientific policy to assist in building green cities and countries, it is necessary to put forward a relatively accurate, scientific and concise green assessment method. The research uses the CCR (A. Charnes & W. W. Cooper & E. Rhodes) Data Envelopment An...

A significant theme in data envelopment analysis (DEA) is the stability of returns to scale (RTS) classification of specific decision making unit (DMU) which is under observed production possibility set. In this study the observed DMUs are public postal operators (PPOs) in European Union member states and Serbia as a candidate country. We demonstrated a sensitivity analysis of the inefficient P...