Single Market effects on productivity in the German insurance industry

Mahlberg, Bernhard; Url, Thomas

doi:10.1016/j.jbankfin.2009.09.005

Cited by 55 publications

(41 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, it is useful to estimate the changes in technology by the changes in the VRS frontier, as proposed by Ray and Desli (1997). Whereas the Ray and Desli formulation is widely supported in the literature 2 , its empirical application is limited (examples of its usage include Kumar and Basu 2008;Guan and Chen 2010;and Mahlberg and Url 2010). Ray and Desli (1997) break down the Malmquist index into three sources of productivity change:…”

Section: Methodsmentioning

confidence: 99%

An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach

Kapelko

2014

Empir Econ

View full text Add to dashboard Cite

Firms in the textile and clothing industry operate in competitive international markets characterized by the liberalized trade after the removal of multi-fiber agreement quotas in 2005, and have to address rapid changes in consumer preferences and production technology. Hence, improving competitiveness is crucial for firm survival. Competitiveness of the sector often depends on its firms meeting their production potential. This paper analyzes productivity changes in the textile and clothing industry worldwide during the period 1995-2004. A bootstrapped Malmquist approach is used to identify the respective contributions of technical change, technical efficiency change, and scale efficiency change. Moreover, differences in productivity changes across different groups of firms are statistically assessed. Our results show a relatively small overall productivity increase for both textile and clothing firms due to positive technical change, despite declines in technical and scale efficiency. Furthermore, our results indicate that productivity and its components differ for textile firms and clothing firms, for firms in countries that benefited and did not benefit from the quotas' elimination, and for firms in different regions.

show abstract

Section: Methodsmentioning

confidence: 99%

An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach

Kapelko

2014

Empir Econ

View full text Add to dashboard Cite

show abstract

“…Two methods have been used to analyse productivity and efficiency in the insurance market: the parametric techniques (Cummins and Weiss, ; Fecher et al ., ; Gardner and Grace, ; Ennsfellner et al ., ; Fenn et al ., ) and the non‐parametric DEA (Cummins et al ., ; Fukuyama, ; Cummins and Zi, ; Cummins et al ., ; Diacon et al ., ; Mahlberg and Url, ; Cummins et al ., ; Barros et al ., ; Cummins and Xie, ; Barros et al ., ; Mahlberg and Url, ) method. Recent research on insurance efficiency includes the work of Bertoni and Croce (), who applied DEA to a panel of life insurance companies operating in five European countries (Germany, France, Italy, Spain and the UK) between 1997 and 2004 in order to estimate their productivity using a Malmquist efficiency model.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Determinants and Capacity Issues in Angolan Insurance Companies

Barros

Dumbo

2014

South African J Economics

View full text Add to dashboard Cite

This paper describes a variety of approaches used to assess the efficiency of a sample of major insurance companies in Angola between 2003 and 2012. Starting out with the bootstrapping technique, several data envelopment analysis (DEA) estimates were generated, allowing the use of confidence intervals and bias correction in central estimates to test for significant differences in efficiency levels and input‐decreasing/output‐increasing potentials. Previous studies have focused on the measurement and explanation of the factors affecting the performance rather than the prediction. The use of neural networks combined with DEA results as part of an attempt to produce a model for insurance companies’ performance with effective predictive ability is investigated. The findings indicate that older insurance companies with Portuguese origin tend to be more efficient. Results also suggest that opportunities for accommodating future demand appear to be scarce.

show abstract

“…As briefly mentioned in the introduction, two alternative approaches have been followed to analyse productivity and efficiency in insurance in the past: SFA (Fenn, Vencappa, Diacon, Klumpes & O'Brien, 2008;Ennsfellner, Lewis & Anderson, 2004;Fecher, Kessler, Perelman & Pestieu, 1993;Cummins & Weiss, 1993;Gardner & Grace, 1993) and the non-parametric DEA (Barros, Nektarios & Assaf, 2010;Mahlberg & Url, 2010;Cummins & Xie, 2008;Barros, Barroso & Borges, 2005;Cummins, Rubio-Misas & Zi, 2004;Mahlberg & Url, 2003;Diacon, Starkey & O'Brien, 2002;Cummins, Weiss & Zi, 1999;Cummins & Zi, 1998;Fukuyama, 1997;Cummins, Turchetti & Weiss, 1996;Biener & Eiling, 2011). It is worth noting that the literature on productive efficiency in the insurance industry is scarce in comparison with other financial areas, such as banking.…”

Section: Literature Reviewmentioning

confidence: 99%

Cost efficiency of African insurance companies using a finite mixture model

Barros

2016

SAJEMS

View full text Add to dashboard Cite

This paper evaluates the operational practices by African insurance companies from Angola and Mozambique, using a finite mixture model that allows controlling for unobserved heterogeneity. More precisely, a stochastic frontier latent class model is adopted in this research to estimate the cost frontiers for each of the different technologies embedded in this heterogeneity. This model not only enables the identification of different groups of African insurance companies from Angola and Mozambique, but it also permits the analysis of their cost efficiency. The results indicate the existence of three different technology groups in the sample, suggesting the need for different business strategies. The policy implications are also derived.

show abstract

Single Market effects on productivity in the German insurance industry

Cited by 55 publications

References 20 publications

An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach

An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach

Efficiency Determinants and Capacity Issues in Angolan Insurance Companies

Cost efficiency of African insurance companies using a finite mixture model

Contact Info

Product

Resources

About