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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 11 to 12 of 12 (0.01 seconds)| 11 |
結構性宰制：反反色情到反分級 / Structural domination: from anti-antipornography to anti-censorship黃頌竹 Unknown Date (has links)
言論分級的辦法，特別是與性有關的言論分級，往往持著「保護未成年人」的立場落實於政策中。將這種對未成年人的言論限制手段，透過個人道德的論述，建構成一個對於未成年人之人格及人身安全的保護措施。然而在這個巧妙的論述之下，卻掩蓋不住底下騷動不已的權力角逐。
回顧二十世紀八○年代的反色情女性主義論述，麥金儂直接指出「色情」的問題從來就不只是一個道德問題，而是關於政治、關於權力、關於社會結構的問題。事實是，種種對於未成年人可以接觸的資訊、言論施加之限制，也從來都不只是道德問題，而是（如女性主義者尖銳而正確的見解指出的）一個關於政治、權力、結構的問題。言論不只是意見，言論是具有能動性（agency）的。麥金儂表示言論對於社會現實的建構有著莫大的影響力，藍騰更使用奧斯汀的行動（performativity）理論來說明言論的能力。而巴特勒儘管在結論上反對反色情女性主義推動言論管制，卻也是基於肯定言論的行動力，對於言論管制往往剝奪傷害性言論的受害者在言說場域裡能夠自我賦權的機會，更透過公權力對此類言論與歧視結構的肯認，而有強化這個受害者結構的危機。
我將從巴特勒對言論管制手段的批判，以及對於如何透過言說關係的再利用，來試圖顛覆既有的權力關係。現有的所謂「保護」未成年人之言論限制政策，其實一方面是鞏固成年人對未成年人之權力關係，另一方面也是將未成年人的教育視為成年人彼此爭奪權力的場域。我將論證言論的管制策略不僅無法達到「保護」的效果，更是對未成年人之主體性建立的直接傷害：如果言論有建構社會結構，以及建構主體在社會結構中的位置之能力，剝奪這項能力，就是在剝奪未成年人透過性言論與現實世界進行交互辯證的能力，並剝奪其建立以及發展自我主體性之重要工具。
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金融預警、合併監理與分級管理制度之研究 / A Study on Early Warning System, Unified Financial Supervision, and Classified Regulatory Principle.鄭璟紘, Cheng, Ching Hung Unknown Date (has links)
本研究分析我國49家本國銀行、55家信用合作社、287家農會信用部及27家漁會信用部等四類金融機構之經營現況，並參照各國金融預警制度運作方式，選取適合的財務比率，運用SAS統計軟體及Z-score、Logistic等模型，分別找出造成各類金融機構經營失敗之顯著相關財務比率，評估各類金融機構之經營效率、失敗機率與模型之正確區別率，以建立預測金融機構失敗機率之預警模型。研究之樣本資料分別為：本國銀行49家、2001年第2季~2003年底共計11季25項財務比率，信用合作社55家、1998年底~2003年底共計21季26項財務比率，農會信用部287家1998年底~2003年底共計21季25項財務比率，漁會信用部27家1998年底~2003年底共計21季25項財務比率。
本研究之結論為：
一、彙整Z-Score模型對各類金融機構具有顯著性之財務變數，本國銀行有6項、信用合作社有7項、農會信用部有6項，漁會信用部有4項。
二、彙整Logistic模型對各類金融機構具有顯著性之財務變數，本國銀行、信用合作社各有6項，農會信用部有5項，漁會信用部有4項。
三、金融預警模型中，Logistic模型較Z-Score模型有較高的正確區別率。 / This research analyzes 49 domestic banks, 55 credit cooperative unions, 287 credit department of farmer associations and 27 credit department of fisherman associations above four kind of financial institution´s management situation, and refers the operation ways of various countries financial early warning system, selects suitable financial ratios , utilizes SAS statistics software and Z-score, Logistic models, it identifies the root cause of bankruptcy thus reveals finance of ratio the correlation, appraises management efficiency, the defeat probability each kind of financial institution if the correct difference rate. It appraises each kind of financial institution´s management efficiency, defeats probability and correct difference rate. It establishes early warning model that forecasts financial institutions failure rate. The research model and period: used 49 domestic banks from 2001 in 2nd season to the end of 2003 total 11 seasons and 25 items of finance ratio、55 credit cooperative associations from the end of 1998 to the end of 2003 total 21 seasons and 26 items of finance ratio、287 credit department of farmer associations and 27 credit department of fisherman associations from the end of 1998 to the end of 2003 total 21 seasons which used respectively 25 items of finance ratio.
The conclusion of this research are:
Firstly, it collects the entire Z-Score model to have significant financial indicator to each kind of financial institution, the domestic banks have 6 items, the credit cooperative associations have 7 items, the credit department of farmer associations have 6 items, and the credit department of fisherman associations have 4 items.
Secondly, it collects the entire Logistic model to have significant financial indicator to each kind of financial institution, the domestic banks and the credit cooperative associations have 6 items respectively, the credit department of farmer associations have 5 items, and the credit department of fisherman associations have 4 items.
Thirdly, in the financial early warning model, when comparing Z-Score with Logistic model , the latter appears to have a higher correct difference rate.
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