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南部工業區及科學園區製造業廠商水災損失與洪災保險之研究

The Flood Loss and Insurance Demand of Manufacturing Factories in the Industrial and Science Parks in Southern Taiwan

摘要


本研究藉由問卷調查之方式,探討廠商水災損失,以及投保颱風洪水險與因颱洪所導致營業中斷保險之意願。調查對象為臺南和高雄六個主要工業區和一科學園區。文中主要由三個層面來探討對於廠商投保意願的影響,分別是廠商特性、產品特性、水災經驗。另外根據廠商訪談之結果,我們還加入保險特徵,即是否經由保險經紀人投保、廠商是否由專業經理人管理和廠商已有的防災措施。廠商水災損失研究結果為:(1)停電天數、廠商面積總坪數對水災損失為顯著正向影響。(2)廠商防災措施方面,只有防水閘門等設備有顯著負向影響。而在投保颱風洪水險意願方面,研究結果為:(1)電子相關產業、產品外銷比例、具有企業營運持續計畫有顯著正向影響。(2)水災經驗呈現顯著負向影響。

並列摘要


This study evaluates the flood loss and the insurance demand of manufacturing factories. Survey was conducted in six major industrial parks and a science park in Tainan and Kaohsiung. The willingness-tobuy for flood insurance was affected by three aspects, namely factory and product characteristics and flood experience. Also, according to the results of interviews with manufacturers, whether insurance broker is involved, whether professional manager is in charge and adopted mitigation measures may affect the willingness-to-buy for flood insurance. The empirical results of flood loss function shows: (1) The power outage days and the plant area have significant positive effects on flood loss; (2) the flood gate has a significant negative effect on flood loss. The willingness-to-buy flood insurance was affected by three factors, such as whether the factory was electronics-relate, whether the factory has BCP (business continuity plan), or the export ratio of the product which produced by the factory. However, the flood experience has significant negative effect on the demand of flood insurance. The reason may be that most experienced manufacturers only have once flood experience, and they may still assess the benefit of flood insurance. In addition, some well-experienced factories have specific flood mitigation measures. That reduces the willingness to buy flood insurance.

並列關鍵字

Manufacturing Factory Flood loss Flood insurance

參考文獻


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被引用紀錄


楊主源(2017)。論人事保證保險於海運承攬運送業之運用〔碩士論文,長榮大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0015-0602201719162300

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