2002
DOI: 10.1006/bare.2002.0185
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Cost Efficiency in Australian General Insurers: A Non-Parametric Approach

Abstract: Data envelopment analysis is used to calculate pure technical, scale, allocative and cost efficiency indices for a sample of forty-six Australian general insurers. The inputs used are labour, physical capital (in the form of both information technology and plant and equipment), and financial capital. The outputs are net premium revenues for housingrelated, transport-related, indemnity-related, mortgage-related, and other insurance, along with invested assets. The results indicate that the major source of overa… Show more

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Cited by 43 publications
(31 citation statements)
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“…Occasional other Australian researchers' references have taken the form of brief asides, as part of their introduction to another subject (e.g. Worthington and Hurley, 2002).…”
Section: Academics' Public Interest Attentionmentioning
confidence: 99%
“…Occasional other Australian researchers' references have taken the form of brief asides, as part of their introduction to another subject (e.g. Worthington and Hurley, 2002).…”
Section: Academics' Public Interest Attentionmentioning
confidence: 99%
“…They used the variables return to scale DEA methodology on a cross section of 46 insurers in 1998. From a second stage Tobit regression, Worthington and Hurley () argued that the major determinant of cost efficiency in the Australian general insurers is firm size as both small and large firms recorded a positive relationship with cost efficiency.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Examples of first application studies in some countries: Mansor and Radam (2000) for Malaysia, for Tunisia, Worthington and Hurley (2002) for Australia, Barros and Obijiaku (2007) for Nigeria, etc. The attained results in this field are mixed because the high number of countries and the difference in the employed time period, on which studies investigate.…”
Section: General Level Of Efficiency and Evolution Over Timementioning
confidence: 99%