Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach

被引:71
|
作者
Wanke, Peter [1 ]
Barros, Carlos Pestana [2 ,3 ]
机构
[1] Univ Fed Rio de Janeiro, Ctr Studies Logist Infrastruct & Management, COPPEAD Grad Business Sch, BR-21941 Rio De Janeiro, Brazil
[2] ULisboa, ISEG Lisbon Sch Econ & Management, Rua Miguel Lupi 20, P-1249078 Lisbon, Portugal
[3] CEsA Res Ctr African Asian & Latin Amer Studies, Rua Miguel Lupi 20, P-1249078 Lisbon, Portugal
关键词
Insurance companies; DEA; Meta-frontier; Brazil; Data mining; COST EFFICIENCY; NEURAL-NETWORKS; TECHNICAL EFFICIENCY; FINANCIAL DISTRESS; MALMQUIST INDEX; PRODUCTIVITY; COMPANIES; PERFORMANCE; INDUSTRY; BANKING;
D O I
10.1016/j.econmod.2015.11.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper investigates the role of heterogeneity in the insurance sector. Here, heterogeneity is represented by different types of insurance provided and regions served. Using a balanced panel data set on Brazilian insurance companies as a case study, results corroborate this underlying hypothesis of heterogeneity's impact on performance. The implications of this research for practitioners and academics are not only addressed in terms of market segmentation which ones are the best performers but also in terms of mergers and acquisitions as long as insurance companies may increase their performance with the right balance of types of insurance offered and regions served. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:8 / 22
页数:15
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