نتایج جستجو برای: overall technical efficiency
تعداد نتایج: 962022 فیلتر نتایج به سال:
This paper used Data Envelopment Analysis (DEA) to measure the technical efficiency of fishing vessels in Haizhou Bay, and then used the Tobit regression to define its influencing factors. This study shows that the overall fishing capacity utilization of fishing vessels at present is very low which indicates that there is a serious problem of waste of resources in Haizhou Bay. Specifically, the...
data envelopment analysis (dea) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. it is based on solving linear programming problems. since 1978 when basic dea model was introduced many its modifications were formulated. among them are two or multi-stage models with serial or parallel structure often called net...
To meet the growing food demand of Bangladesh requires efficiently use of inputs and effectively manage of production practices at the farm level. Thus, the present study aims to measure the technical efficiency and establish core factors affecting boro and aman rice production in Bangladesh. The study employed mainly farm level data collected from 80 farm households selected randomly in Dinajp...
This research analyses the efficiency of China’s banks using the data envelopment analysis (DEA). The Chinese government began its reforms of the banking industry reform since 1978. Our data set contains twelve banks in China during the period of 1996 to 2003. All nominal variables are transformed into real variables in the 2003 prices. There are twelve banks including four state-owned speciali...
data envelopment analysis (dea) is a method for measuring the relative efficiencies of a set of decision-making units (dmus) that use multiple inputs to produce multiple outputs. in this paper, we study the measurement of dmu performances in dea in situations where input and/or output values are given as imprecise data. by imprecise data we mean situations where we only know that the actual val...
data envelopment analysis (dea) measures the relative efficiency of decision making units (dmus) with multiple inputs and multiple outputs. dea-based malmquist productivity index measures the productivity change over time. we propose a dynamic dea model involving network structure in each period within the framework a dea. we have previously published the network dea (ndea) and the dynamic dea ...
in the present study, an attempt has been made to use data envelopment analysis (dea) for assessing the technical efficiency and return-to-scale for greenhouse cucumber production in iran. for this purpose, the data from greenhouses in esfahan province, during one period of plant cultivation in one year including spring plants were randomly collected. the results indicated that total input ener...
this study aimed to measure the hospital productivity using data envelopment analysis (dea) technique and malmquist indices.this is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010. the research was implemented in 12 teaching and non-teaching hospitals of ahvaz county. data envelopment analysis technique and the malmquist indices with an input-orien...
the index is excellent by the malmquist index as extended to productivity measurement. the index developed here is defined in terms of input cost rather than input quantity distance functions in supply chain. therefore, we propose productivity change is decomposed into overall efficiency and cost technical change. these decompositions provide a clearer situation of the root sources of supply ch...
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 (...
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