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題名:台灣經驗保險需求,金融發展與經濟成長的關係
作者:張永旺
作者(外文):Yung-Wang Chang
校院名稱:國立高雄第一科技大學
系所名稱:管理研究所
指導教授:陳振遠
洪敏三
學位類別:博士
出版日期:2008
主題關鍵詞:保險需求金融發展經濟成長Granger因果關係共整合CointegrationInsurance demandFinancial developmentEconomic growthGranger causality
原始連結:連回原系統網址new window
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本研究係探討台灣自1956至2006年間保險需求與經濟成長的動態關係,使用多變數VAR (vector autoregressive) 模型,驗證供給領導(supply-leading)或需求跟隨(demand-following)的假設(hypotheses)。
首先以縮簡式(reduced-form)的雙變數VAR模型,實證發現:台灣的產險需求與經濟成長,有共整合關係。長期而言,經濟成長會導致產險需求的增加,支持需求跟隨的假設。然而,壽險需求與經濟成長並沒有共整合關係,壽險需求僅於短期會影響經濟成長。
此外,本研究引申Hussels, Ward, and Zurbruegg (2005) 提出的觀念,認為保險需求、金融發展與經濟成長之間,可能有動態的連結關係,再以參變數VAR模型,實證發現:經濟成長於短期與長期均會影響保險需求,可是金融發展只於長期會影響保險需求。另外,基於向量誤差修正模型(vector error-correction model, VECM)的Granger因果關係檢定,建議:金融發展會導致經濟成長;經濟成長又會導致保險需求的增加。前者,支持供給領導的假設;後者,支持需求跟隨的假設。換言之,金融發展可以促進經濟成長,此發現顯示,近年來台灣的金融發展,對我國經濟成長的重要性。然而,台灣的保險消費,並不會促進經濟成長。
故本研究的管理意涵,為政府決策者應將有限的國家資源,儘量配置於可刺激經濟成長的其他部門,而非保險部門。同時,保險業者也要了解所得彈性對保險需求的影響,以為保險經營的參考。
This study examines the dynamic relationship between insurance demand and economic growth in Taiwan from 1956 through 2006. Using a multivariate vector autoregressive (VAR) model, the competing hypotheses of demand-following versus supply-leading are empirically tested.
Utilizing a reduced-form bivariate VAR model, test results indicate that non-life insurance demand and economic growth are cointegrated. Furthermore, in the long run, economic growth was found to lead to non-life insurance expansion. This result supports the demand-following hypothesis for Taiwan. However, life insurance demand and economic growth were not found to be cointegrated. Life insurance demand did impact economic growth, but only in the short run.
Moreover, three-variable VAR models were applied to extend the conceptual link among insurance demand, financial development, and economic growth, as proposed by Hussels et al. (2005). These results reveal that economic growth affects insurance demand, both in the long run and in the short run. Financial development, on the other hand, was found to primarily cause variations in insurance demand, but only in the long run. In addition, the results from the Granger causality test, based on the vector error-correction model (VECM), suggest a unidirectional causality. This causality runs from financial development to economic growth, which supports “the supply-leading hypothesis”. In contrast, the results also suggest that economic growth leads to increases in insurance demand, which supports “the demand-following hypothesis”. Thus, financial development does promote real gross domestic product (GDP) growth. These findings highlight the importance of financial development in Taiwan’s recent economic growth. However, it was determined that insurance spending does not promote economic growth.
This study has two significant managerial implications. Firstly, these results can help the Taiwan government prioritize the allocation of resources that may stimulate national economic growth. Secondly, knowledge of the income elasticity of demand for insurance can assist insurance companies with insurance product consumption estimation.
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