Intellectual capital and performance in the Chinese life insurance industry

This study applies the dynamic slack-based measure (DSBM) model to evaluate the performance of 34 Chinese life insurance companies for the period 2006-2010. This study also examines the relationship between intellectual capital and performance using the truncated regression approach. Our findings in...

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Main Authors: Lu W.-M., Wang W.-K., Kweh Q.L.
Other Authors: 25625212800
Format: Article
Published: 2023
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spelling my.uniten.dspace-221982023-05-16T10:48:21Z Intellectual capital and performance in the Chinese life insurance industry Lu W.-M. Wang W.-K. Kweh Q.L. 25625212800 23096112500 55661469500 This study applies the dynamic slack-based measure (DSBM) model to evaluate the performance of 34 Chinese life insurance companies for the period 2006-2010. This study also examines the relationship between intellectual capital and performance using the truncated regression approach. Our findings indicate that over the period of the study, the mean efficiency scores of life insurers are relatively stable, ranging from 0.905 to 0.973. We verify that the efficiency scores of the DSBM model differ significantly from those of the traditional data envelopment analysis (DEA) model, which supports the use of the DSBM model. Our regression analysis reveals that intellectual capitals are significantly positively associated with firm operating efficiency. Our findings corroborate prior studies which show that intellectual capital can make a company rich. In this dynamic business world, life insurers' managers should invest and fully utilize intellectual capital to gain a competitive advantage. © 2013. Final 2023-05-16T02:48:20Z 2023-05-16T02:48:20Z 2014 Article 10.1016/j.omega.2013.03.002 2-s2.0-84876705397 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876705397&doi=10.1016%2fj.omega.2013.03.002&partnerID=40&md5=b4598237cbd38bbf552cddb14fa59307 https://irepository.uniten.edu.my/handle/123456789/22198 42 1 65 74 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This study applies the dynamic slack-based measure (DSBM) model to evaluate the performance of 34 Chinese life insurance companies for the period 2006-2010. This study also examines the relationship between intellectual capital and performance using the truncated regression approach. Our findings indicate that over the period of the study, the mean efficiency scores of life insurers are relatively stable, ranging from 0.905 to 0.973. We verify that the efficiency scores of the DSBM model differ significantly from those of the traditional data envelopment analysis (DEA) model, which supports the use of the DSBM model. Our regression analysis reveals that intellectual capitals are significantly positively associated with firm operating efficiency. Our findings corroborate prior studies which show that intellectual capital can make a company rich. In this dynamic business world, life insurers' managers should invest and fully utilize intellectual capital to gain a competitive advantage. © 2013.
author2 25625212800
author_facet 25625212800
Lu W.-M.
Wang W.-K.
Kweh Q.L.
format Article
author Lu W.-M.
Wang W.-K.
Kweh Q.L.
spellingShingle Lu W.-M.
Wang W.-K.
Kweh Q.L.
Intellectual capital and performance in the Chinese life insurance industry
author_sort Lu W.-M.
title Intellectual capital and performance in the Chinese life insurance industry
title_short Intellectual capital and performance in the Chinese life insurance industry
title_full Intellectual capital and performance in the Chinese life insurance industry
title_fullStr Intellectual capital and performance in the Chinese life insurance industry
title_full_unstemmed Intellectual capital and performance in the Chinese life insurance industry
title_sort intellectual capital and performance in the chinese life insurance industry
publishDate 2023
_version_ 1806426498535522304
score 13.214268