Study on the efficiency evaluation of agricultural circular economy in China based on DEA model

2020 ◽  
Vol 29 (4) ◽  
Author(s):  
Jia Mingwen ◽  
Luo Huawei
2020 ◽  
Vol 214 ◽  
pp. 01036
Author(s):  
Song Aifeng ◽  
Zhang XiaoYang ◽  
Huang Weilai ◽  
Yang xue ◽  
Yang Juan

With the increasingly fierce market competition, only by relying on high-quality products and high customer satisfaction can enterprises survive in the fierce competition. Among many evaluation methods, Data Envelopment Analysis (DEA), as a non-parametric statistical method to effectively deal with multi-input and multi-output problems, has received more and more attention in evaluating the relative efficiency of decision-making units. In the process of bank efficiency evaluation based on DEA method, there will be a situation that banks have both dual role factors and unexpected output factors. The Two-stage DEA model provides an effective analysis method to solve the problem of bank efficiency evaluation of complex organizational structure. In order to evaluate the efficiency of unexpected output with uncertain information, a stochastic DEA model of unexpected output is established.


2020 ◽  
Vol 13 (3) ◽  
pp. 286
Author(s):  
Teng Ren ◽  
Zhongbao Zhou ◽  
Sidi Li ◽  
Shijian Wu ◽  
Binghua Song

Author(s):  
Fuad Aleskerov ◽  
Vsevolod Petrushchenko

Data Envelopment Analysis (DEA) is a well-known nonparametric technique of efficiency evaluation which is actively used in many economic applications. However, DEA is not very well applicable when a sample consists of firms operating under drastically different conditions. We offer a new method of efficiency estimation in heterogeneous samples based on a sequential exclusion of alternatives and standard DEA approach. We show a connection between efficiency scores obtained via standard DEA model and the ones obtained via our algorithm. We also illustrate our model by evaluating 28 Russian universities and compare the results obtained by two techniques.


2014 ◽  
Vol 1073-1076 ◽  
pp. 2843-2851
Author(s):  
Ling Xin

The evaluation index system of Chinese agricultural circular economy development was established based on the definition of connotation of the agricultural circular economy and the principle of index selection. It included four aspects, i.e., social and economic development, resource reduction input, resource recycling and ecological environment, as well as 16 indexes. The development level of the agricultural circular economy in China between 1991 and 2012 was evaluated and analyzed by using the comprehensive multi-index model method. The results illustrated that the development levels of the agricultural circular economy in China and its three major regions of eastern region, middle region and western region exhibited rising trends. Investment of reduced resources has become a bottleneck restricting the development of agricultural circular economy in China. There was an obvious regional difference of the development level of the agricultural circular economy in China.


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