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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65133

    Title: 探討民眾對海峽兩岸服務貿易協議之涉入程度、認知及態度;Explore the public’s involvement、awareness and attitude toward Cross-Strait Agreement on Trade in Services
    Authors: 許明鳳;Shiu,Ming-feng
    Contributors: 企業管理學系
    Keywords: 學運;兩岸服務貿易協議;單因子變異數分析;Student Movement;Economic Cooperation Framework Agreement;ANOVA
    Date: 2014-07-21
    Issue Date: 2014-10-15 14:41:35 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 2014年3月18日太陽花學運占領了國會議場,震驚了全國民眾,也讓大家開始關注引發學運的「海峽兩岸服務貿易協議」,該協議是兩岸經濟合作架構協議 (ECFA)的子協議之一,台灣與中國在2013年6月21日即已簽署海峽兩岸服務貿易協議,惟當時僅有少部分民眾知道這個訊息,直到太陽花學運事件發生,才真正引起民眾的關注。
    本研究所要探討的是民眾的個人背景如性別、年齡、教育程度、支持政黨、主要閱讀報紙、從事行業及月收入等人口統計變數,是否影響其對服貿協議的涉入程度、審查程序與實質條文內容及政府與中國大陸簽署服貿協議等的認知。本研究以SPSS18.0來進行分析,結果得到教育程度、支持黨派及主要閱讀報紙等是較顯著的變數。;The Sunflower Student Movement was a protest movement driven by a coalition of students and civic groups on March 18, 2014. Taiwaneses were shocked by the protesters occupied the Legislative Yuan. As a result, people started to focus on the Cross-Strait Agreement on Trade in Services. Taiwan and China have signed the aggrement on June 21, 2013, and it is just one sub-protocol of Economic Cooperation Framework Agreement (ECFA). Unfortunately, few of Taiwaneses were aware of this event.
    To improve competitivemess, most of countries involved regional integration. Taiwan has to seek trade partners negotiating a free trade agreement avoid being marginalized. Regardless of the Cross-Strait Agreement on Trade in Services is good or bad trade agreement itself, as long as the theme associated China, you can not just explain it rationlly, political factors are more important considerations.
    This study was to explore the influences of the demographic variables, such as gender, age, education level, support for political parties, the main reading newspaper, occupation and monthly income, etc. on people’s involvement or cognition of audit procedures and provisions content about the Cross-Strait Agreement on Trade in Services. Using statistical software SPSS 18.0 analyzes data, and we found education level, support for political parties and main reading newspaper are more significant variables.
    Appears in Collections:[企業管理研究所] 博碩士論文

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