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題名 Assessing the Marketing and Investment Efficiency of Taiwan’s Life Insurance Firms under Network Structures
作者 黃台心
Huang, Tai-Hsin
Lin, Chung-I
Wu, Ruei-Cian
貢獻者 金融系
關鍵詞 Taiwan’s life insurers; Network SFA; Copula methods; Disaggregate data; Simultaneous equations; The maximum likelihood; Technical efficiency score; Technical change; Scale economies
日期 2018
上傳時間 7-Dec-2018 17:33:26 (UTC+8)
摘要 This paper proposes the network stochastic frontier approach (SFA) to fill the gap in the efficiency measurement literature, splitting the entire production process of life insurers into two stages: marketing and investment. A salient feature of the method is that it can characterize technologies undertaken by a series of stages without requiring disaggregate data for individual sectors of insurers. In the context of copula methods, the simultaneous equations can be estimated by the maximum likelihood, and the parameter estimates are used to compute measures of the technical efficiency score, technical change, and scale economies in the two production stages. We find that twenty-six of Taiwan’s life insurers have a higher average technical efficiency score in the investment stage than that in the marketing stage. Scale economies and technical advancements prevail in the two production stages over the sample period 2000–2012. Findings also show that domestic, FHC (financial holding company), and new insurers outperform foreign, non-FHC, and old insurers, respectively. The traditional single production stage model neither accurately describes an insurer’s production technology nor correctly evaluates its performance.
關聯 Quarterly Review of Economics and Finance,
資料類型 article
DOI https://doi.org/10.1016/j.qref.2018.07.002
dc.contributor 金融系zh_TW
dc.creator (作者) 黃台心zh_TW
dc.creator (作者) Huang, Tai-Hsinen_US
dc.creator (作者) Lin, Chung-Ien_US
dc.creator (作者) Wu, Ruei-Cianen_US
dc.date (日期) 2018
dc.date.accessioned 7-Dec-2018 17:33:26 (UTC+8)-
dc.date.available 7-Dec-2018 17:33:26 (UTC+8)-
dc.date.issued (上傳時間) 7-Dec-2018 17:33:26 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/121273-
dc.description.abstract (摘要) This paper proposes the network stochastic frontier approach (SFA) to fill the gap in the efficiency measurement literature, splitting the entire production process of life insurers into two stages: marketing and investment. A salient feature of the method is that it can characterize technologies undertaken by a series of stages without requiring disaggregate data for individual sectors of insurers. In the context of copula methods, the simultaneous equations can be estimated by the maximum likelihood, and the parameter estimates are used to compute measures of the technical efficiency score, technical change, and scale economies in the two production stages. We find that twenty-six of Taiwan’s life insurers have a higher average technical efficiency score in the investment stage than that in the marketing stage. Scale economies and technical advancements prevail in the two production stages over the sample period 2000–2012. Findings also show that domestic, FHC (financial holding company), and new insurers outperform foreign, non-FHC, and old insurers, respectively. The traditional single production stage model neither accurately describes an insurer’s production technology nor correctly evaluates its performance.en_US
dc.format.extent 1962997 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Quarterly Review of Economics and Finance,
dc.subject (關鍵詞) Taiwan’s life insurers; Network SFA; Copula methods; Disaggregate data; Simultaneous equations; The maximum likelihood; Technical efficiency score; Technical change; Scale economiesen_US
dc.title (題名) Assessing the Marketing and Investment Efficiency of Taiwan’s Life Insurance Firms under Network Structuresen_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.qref.2018.07.002
dc.doi.uri (DOI) https://doi.org/10.1016/j.qref.2018.07.002