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Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators
Mathematics ( IF 2.4 ) Pub Date : 2020-08-12 , DOI: 10.3390/math8081347
Ioannis E. Tsolas

This paper aims to provide a novel construct that is based on data envelopment analysis (DEA) range adjusted measure (RAM) of efficiency and demonstrate its practical implementation by evaluating the financial performance of a sample of three upper-class contracting license (Classes 5–7) Greek construction firms. In a two-step framework, firm efficiency (i.e., composite indicators (CIs)) is produced firstly by means of RAM using single financial ratios, which are selected by grey relational analysis (GRA), and then Tobit regression is employed to model the CIs. In light of the results, only 4% of the sampled firms are efficient, and the firm ranking is consistent with the ranking of Grey Relational Grande (GRG) values produced by GRA. Moreover, the firms with a contracting license of the highest level (Class 7) appear not to be superior in efficiency to their counterparts that belong to Classes 5–6.

中文翻译:

基于RAM的综合指标对建筑企业财务绩效的评估

本文旨在提供一种基于数据包络分析(DEA)范围调整措施(RAM)的效率的新颖结构,并通过评估三个上层承包合同的样本的财务绩效来证明其实际实施(第5类- 7)希腊建筑公司。在两步框架中,首先通过采用单一财务比率的RAM来产生公司效率(即综合指标(CI)),然后通过灰色关联分析(GRA)选择该比率,然后使用Tobit回归对模型进行建模。 CI。根据结果​​,只有4%的样本公司是有效的,并且该公司的排名与GRA产生的Gray Relational Grande(GRG)值的排名一致。此外,
更新日期:2020-08-12
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