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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/53863


    Title: 論“入世”前後中國保險業之清償能力及組織結構對效率之影響
    Other Titles: Solvency, Organizational Structure, and Efficiency of Insurance Industry in China---Pre- and Post-WTO
    Authors: 鄭士卿
    Contributors: 國立政治大學風險管理與保險學系
    行政院國家科學委員會
    Keywords: 清償能力;效率;中國;世貿組織;組織結構
    Solvency;Efficiency;China;WTO;Organizational Structure
    Date: 2003
    Issue Date: 2012-10-22 15:43:44 (UTC+8)
    Abstract: 本文探討中國保險業自1996 至2000 年間的效率表現，並首次以投入/產出的衡量方法研究中國保險業的效率。本研究利用資料包絡分析法 (Data Envelopment Analysis, DEA)衡量公司的技術效率及組成技術效率的兩項因子，並同時利用附加價值法及金融仲介法來定義保險業的投入及產出。作者以傳統的附加價值法來分析，發現國有獨資機構較其他本國公司有效率，顯示國有公司長久以來獨占的優勢亦反映在公司的運作效率上。但若考慮公司的清償能力，則發現國有公司弱勢的財務狀況完全抵消了原有的效率優勢，證明清償能力問題在中國保險業的嚴重性。作者亦發現業務多元化的程度並未改善公司的效率，也間接懷疑中國保險監理機構實行產.壽險分業經營的合理性。
    This paper examines the efficiency performance of Chinese insurance industry in the period of 1996-2000. It is the first paper to use the input/output efficiency method to measure the efficiency of Chinese insurance industry. We apply data envelopment analysis (DEA) methodology to measure the efficiency in this paper, and both the value-added approach and the financial intermediary approach of DEA are examined. Using the value-added approach, we find that state-owned insurers are more efficient than stock insurers prior to China’s entry into WTO. Our results imply that state-owned firms have enjoyed lots of resources for a long time and thus possess advantages in the market. A further analysis of financial intermediary approach shows that the privilege of state-owned insurers is jeopardized by their current financial conditions. Such disadvantage may put the state-owned firms at risk and may change the structure of the Chinese insurance industry in the near future. Besides, a comparison between composite and specialized firms implies that Chinese regulatory authority may adjust its speed in the transformation of business diversification.
    Relation: 基礎研究
    學術補助
    研究期間:9208 ~ 9307
    研究經費:435仟元
    Data Type: report
    Appears in Collections:[風險管理與保險學系] 國科會研究計畫

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