VCS和CVS:新的组合参数和非参数运筹学模型

Mirpouya Mirmozaffari , Reza Yazdani , Elham Shadkam , Leyla Sadat Tavassoli , Reza Massah
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引用次数: 14

摘要

基于参数化和非参数化得出的疗效恒常性不显著,本文进行了科学的评估,并提出了两种新的参数化和非参数化相结合的运筹学模型,这将是文献感知的新实验。结合数据包络分析(DEA)中的CCR(Charnes, Cooper和Rhodes模型)或CRS(Constant Return to Scale)、BCC(Banker, Charnes和Cooper模型)或VRS(Variable Return to Scale)的效率测量方法,以及随机前沿法(Stochastic Frontier Approach, SFA),对65家银行在2020年2 - 7月进行了基于VRS-CRS-SFA (VCS)和CRS-VRS-SFA (CVS)两种新型优化方法的科学评估。为了分析参数方法和非参数方法的性能,我们考虑了线性回归和不可复制线性函数关系(ULFR)。最后介绍了优势银行和最佳绩效模型。为了更明确,考虑了三种不同的方法,即金融机构的生产、中介和利润/收入。与BCC-CCR、CCR-BCC和SFA模型相比,两种新型推荐VCS和CVS模型与利润风险的正相关更强,且具有更高的决定值系数。
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VCS and CVS: New combined parametric and non-parametric operation research models

The constancy of efficacy derived from parametric and non-parametric is not significant, this paper provides a scientific assessment and proposes two novel combined parametric and non-parametric operation research models, which will be a new experiment in literature perception. A scientific assessment of banks based on two novel optimizations VRS-CRS-SFA (VCS) and CRS-VRS-SFA (CVS) as the combination of the efficiency measurement method of CCR(Charnes, Cooper and Rhodes model) or CRS(Constant Return to Scale), BCC(Banker, Charnes, and Cooper model) or VRS(Variable Return to Scale) in Data Envelopment Analysis (DEA), as well as Stochastic Frontier Approach (SFA) for 65 banks during Feb to July 2020 are introduced. For analyzing the performance of the parametric and non-parametric approaches, we have considered the linear regression and Unreplicated Linear Functional Relationship (ULFR). Finally, the superior bank and the best performance model are introduced. For more clarification, three different approaches, which are production, intermediation, and profit/revenue in financial institutions, are considered. Among the proposed techniques, the two novel recommended VCS and CVS compared with BCC-CCR, CCR-BCC, and SFA models, in all of the three suggested approaches have a more positive correlation with profit risk and show the higher coefficient of determination values.

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