Efficiency analysis by combination of frontier methods: Evidence from unreplicated linear functional relationship model

Business and Economic Horizons Pub Date : 2019-01-01 DOI:10.22004/ag.econ.287252

O. Sharif, Zobaer Hasam, Chang Yun Fah, Mahboobeh Zangeneh Sirdari

引用次数: 1

Abstract

This study proposes a new efficiency measurement technique CDS as combination of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) and compares the CDS efficiency score with the DEA and SFA efficiency scores. The financial companies listed in Malaysian Stock Exchange for the period 2007-2016 are used to estimate the different types of efficiency score. Besides, linear regression analysis and ULFR (unreplicated linear functional relationship) analysis are used to analyze the performance of this CDS technique with the DEA and SFA techniques. The result suggests that the most efficient model is CDS which has a significant positive correlation with profit risk. Among the CDS, DEA and SFA techniques, the recommended technique (CDS) shows higher coefficient of determination values for both ULFR (0.9994) and linear regression (0.292) analysis. Also, based on the results of CDS, this study postulates that the most efficient firm is ACSM (Aeon Credit Service (M) Bhd) and the least efficient firm is MAY (Malayan Banking Bhd).

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结合前沿方法的效率分析:来自不可复制线性函数关系模型的证据

本文提出了一种新的效率测量方法CDS，即数据包络分析(DEA)和随机前沿分析(SFA)相结合，并将CDS效率得分与DEA和SFA效率得分进行了比较。利用2007-2016年在马来西亚证券交易所上市的金融公司来估计不同类型的效率得分。此外，利用线性回归分析和ULFR (unreplicated linear functional relationship)分析，结合DEA和SFA技术，对CDS技术的性能进行分析。结果表明，最有效的模型是CDS, CDS与盈利风险呈显著正相关。在CDS、DEA和SFA技术中，推荐技术(CDS)对ULFR分析的决定系数(0.9994)和线性回归分析的决定系数(0.292)都较高。此外，根据CDS的结果，本研究假设效率最高的公司是ACSM(永旺信贷服务(M) Bhd)，效率最低的公司是MAY(马来亚银行Bhd)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Business and Economic Horizons ECONOMICS-

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