An Improved City Tourism Efficiency Evaluation Model Based on Data Envelopment Analysis

2013 ◽  
Vol 7 (2) ◽  
pp. 343-349 ◽  
Author(s):  
Cheng Yan
Keyword(s):  
Data Envelopment Analysis ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Model Based ◽  
City Tourism

Two-Stage Data Envelopment Analysis Efficiency of Indian General Insurance Companies

2021 ◽  
pp. 097215092110476
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Data Envelopment Analysis ◽  
Asset Management ◽  
Evaluation Model ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Two Stage ◽  
Network Dea ◽  
Second Stage ◽  
General Insurance

The present study compares efficiency-related performance of 15 Indian general insurance companies using a two-stage efficiency evaluation model. Efficiency evaluation has been made for the span 2009–2010 to 2017–2018 using network DEA (data envelopment analysis). The results indicate that the in-sample private sector general insurance companies outcompeted the public sector insurers with regard to first-stage activity (premium mobilization), while the reverse was observed in terms of the second-stage activity (asset management and provision of claim benefits). The study also carried out regression of efficiency scores on several contextual variables. The results indicate that ownership is an influential contextual variable in both stages of productivity while solvency significantly impacts efficiency in the second stage.

scholarly journals A Revised Model of the Neutral DEA Model and Its Extension

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Peng Liu ◽  
Li-Fang Wang ◽  
Jian Chang
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Neutral Model ◽  
Dea Model ◽  
Model Based

The neutral data envelopment analysis (DEA) model is an alternative way to determine the weights in DEA cross-efficiency evaluation, while avoiding the difficulty in making a choice between the aggressive and benevolent formulations. However, the weights determined by the neutral model merely make the efficiency of part output bigger than other sets of weights. The neutral model is not able to make the efficiency of each output of the DMU biggest among the favorable weights. This neutral model is not purely “neutral” and not most favorable to the DMU. We proposed a revised model for the neutral model. Based on the idea that the DMU should choose a set of weights to maximize its own efficiency, this paper proposes a new cross-efficiency model. The weights determined by the two models are neutral, neither aggressive nor benevolent.

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