全民健康保險（簡稱健保或全民健保）的財務狀況，自民國84年開辦以來均呈現收支不平衡的現象。有鑑於此，本研究擬針對健保財務狀況的影響因子進行探討，故考慮國內整體的社會及經濟環境指標變數的變動趨勢，對健保保費收入與健保保費支出間的關係。此外，我們更納入保險主要指標（包含保險密度及保險滲透率）的概念，進一步探討社經指標對其影響程度。 本研究導入相關分析及多元廻歸等方法，研究解釋變數（包含GDP、經濟成長率、國民所得或每人國民所得、GNP或每人GNP、失業率、勞參率、人口數、就業人口數、平均薪資等）對因變數（包含健保保費收入、健保保費支出、健保保險密度、健保保險滲透率等）間的關係。其研究結果顯示，在相關分析部分，除經濟成長率對健保財務狀況的影響不顯著外，其餘變數對健保財務狀況關係呈現相關性。在廻歸分析部分，就業人口數的增加將造成健保保費收入增加及健保保險滲透率的提高，反之則呈現遞減，而失業率、GDP、人口數的成長將造成健保保費支出的增加及健保保險密度的上升。 / Since the institution of the current healthcare system in Taiwan, known as National Health Insurance (NHI), in 1995, its financial condition faces the imbalance of the funding and the expenditure. Based on this issue, this project aims to research on the factors impacting the NHI financial condition. The factors take into consideration of the socioeconomic issues and the changing trends of the various economic indicators affecting the funding and the expenditure of the NHI. In addition by encompassing the concepts of insurance penetration and insurance density rate, the project further analyzes the impact of the socioeconomic indicators on the NHI. The project adopts the application of correlation analysis and multiple linear regression analysis to study the influences of the variables: gross domestic products (GDP), economic growth, gross national products (GNP), unemployment rate, workforce participation rate, population, employment rate and average salary, have on the variables: NHI receiving premiums, NHI expenditures, NHI insurance density rate and insurance penetration rate. The results show that under the correlation analysis model all of the variables except for the economic growth rate have the association impact on the NHI financial conditions. As for the analysis under the multiple linear regression analysis, the increase of the employment does increase premium receiving and penetration rate of the NHI and vice versa. With the same respect the increase of the unemployment, GDP and population increase the expenditures of the NHI and the insurance density rate.

近年來國內產業在經過一波代工生產的輝煌時期之後，隨著國內企業紛外移至海外、中國或東南亞開拓市場並設置廠房及部門後，大量生產已經進入微利時代，漸漸朝向依需求而製造或是少量多樣化發展，市場之環境也越來越不是和大量生產生存。故本研究以此為動機針對XX代工廠以少量多樣為指導方針之客戶及潛在客戶進行問卷調查，期能找出客戶對於代工廠能力之期許，以改善自我來滿足客戶需求。本研究使用描述性統計分析、獨立樣本T檢定、單因子變異數分析、相關分析以及主成分分析，研究結果發現： 一、 對於全體客戶，代工廠應以加強品質能力作為首要目標。 二、 企業型態為跨國企業之客戶對於各項能力之期望皆較高。 三、 擁有自己工廠之客戶對於品質能力、交期能力及技術能力期望較高。 四、 對彈性運用有較高期許之客戶，對創新能力便可能有較高期許；對交期能力有較高期許之客戶，對彈性運用便可能有較高期許；對價格反應有較高期許之客戶，對售後服務與合作關係便可能有較高期許。 五、 客戶對於代工廠之期許仍以整體之平均為主，而在品質、技術及財務狀況與信譽則有特別多之期許。

自全球金融風暴發生迄今，國內經濟受到國際內、外部經濟環境的影響，致使經濟成長呈現大幅下滑之情事，同時也造成國內失業率大幅成長之現象。然在面臨經濟萎縮的情境下，國內企業發展也出現些微的變化，已由投資階段轉向知識階段，在此同時人力資源也成為企業競爭的最佳利器，而且若國內企業發展呈現成長時，相對會提昇國內經濟的成長現狀。因此，本研究考量在整體產業人力需求的變化下，對於社會整體人力資源的有效運用與經濟發展的關係進行探究， 其研究結果顯示： (1)服務業之受僱員工人數占大多數； (2)各行業之受僱員工平均薪資間相互呈現正向相關； (3)服務業之受僱人數對國內經濟呈現正向影響； (4)製造業之平均薪資對國內經濟呈現正向影響；

隨著典型相關分析應用的日益廣泛，線性典型相關分析並不足以描述兩個主題事務間確實的關連及與其個別相關事務的互動關係，為了更適切地解釋資料數據背後所表達的現象，近來不斷地有關於非線性典型相關分析的理論發表，本文利用1992年Sheng所發表的非線性典型相關分析的理論，將之應用在對臺灣地區民國八十二年的前二十五名最有聲望的企業的資料分析上，並比較應用線性典型相關分析與非線性典型相關分析做資料分析的結果。

本研究以統包工程產業工程師為研究對象，探討人格特質對組織承諾之關係，並針對研究結果提出建議，作為統包工程公司在人力資源運用與管理的參考。本研究採用問卷調查法，共發出420份問卷，回收314份，有效問卷314份，將回收之問卷資料採用描述性統計、獨立樣本t檢定、單因子變異數分析、Tukey事後比較、Pearson積差相關及多元迴歸分析等方法檢定後，研究結果發現： 1.不同個人背景變項(服務年資、現任職務、婚姻狀況、工作月薪)的統包工程產業工程師在組織承諾上具有顯著差異。 2.統包工程產業工程師的人格特質與組織承諾具有顯著正相關。 3.統包工程產業工程師的人格特質對組織承諾具有預測力。

實施十二年國民基本教育，目的是為促進學生五育均衡發展，兼顧國中學習品質及日常生活表現。由於各校對成績的評分標準與評分方式皆不相同，因此如何使在校成績採計達到公平性將成為一項重要的問題。 戴岑熹(2011) 考慮了國中在校綜合學科分數與基測總分間的相關性，以決定在校各學科的權重。而本研究延伸其概念與方法，將基測各科量尺分數考慮進來，於在校綜合學科分數與基測綜合量尺分數的關聯性最密切的情況下，分析各學科權重的取決方式，希望能找出較理想的模式來代表學生在校三年的整體學習表現與成果，以做為免試升學採計在校成績的參考與依據。 本文的研究方法是運用典型相關分析的理論，但因權重的限制條件與傳統典型相關分析的要求不同，因此，便將其命名為「類典型相關分析」。在類典型相關分析中，我們證明了在校各學科分數及基測各科量尺分數的最佳權重，可先透過典型相關分析求得典型相關向量，若有必要的話，使用Rao-Ghangurad 方法加以修正，最後，再將所獲得的非負典型相關向量正規化，即可獲得所要的結果，這是一個求最佳權重向量極便捷的途徑。在實例分析方面，我們發現了一個有趣的現象，即在校學科分數與基測考科量尺分數的最佳權重向量相當接近，即名稱相同的學科與考科幾乎有相同的權重。在比較了幾個權重分配方式不同的在校綜合學科分數後，我們也發現一般學校常用的等加權模式，其表現結果也頗優異。 / The purpose of implementing the twelve-year compulsory education is to promote the balanced development of learning in students, taking into account their learning quality and normal daily performances in school. As the evaluation standard and method vary among schools, achieving fairness in calculating in-school grades has become an important issue. Dai (2011) considered the correlations between the scores of in-school academic performance and the total score of the BCTEST for junior high schools, which decided to the weightings of all learning subjects. This study extended his concept and method, and took into account the scale scores of all learning subjects. In the closest case of the weightings of all learning subjects and find out the correlations between the scores of in-school academic performance and the BCTEST, and analyse the weightings of all learning subjects. We hope the study can find a better approach that can not only reflect students’ learning situations and achievements for the three years in school but also provide a reference for the evaluation of entering senior high schools without entrance examinations. The research method in this paper employs the theory of canonical correlation analysis.However, due to that fact that weight restrictions are different from the requirements of canonical correlation analysis, it is named as the canonical correlation analysis type approach. In the canonical correlation analysis type approach, we proved that the optimal weights for school subject score and test subject score scales can be obtained by finding the canonical correlation vectors using canonical correlation analysis. Then the Rao-Ghangurad method can further be used for amending, if needed. Finally, the nonnegative canonical correlation vectors generated would be normalized to get the desired result. It is an extremely convenient way to obtain the optimal weight vector. In the case study, we found an interesting phenomenon as follows: When the optimal weight vectors for school subject score and test subject score scales were very close, subjects and tests of the same name had almost the same weight. After comparing several comprehensive school subject scores of different weight distribution, we also found that the results of the equal weighting model commonly used in schools also showed quite good results.

第一章：共二節，敘述研究背景、問題本質、研究目的以及研究方法。 第二章：共三節，分析公司特性變數與產品特性變數。 第三章：共三節，分析採購行為變數。 第四章：共三節，進行變數間之相關分析、因素分析及檢定本研究之假設。 第五章：共二節，其內容為結論與建議。

本研究以不動產估價技術規則第19條第7項與第20條之規定，引用相似無關迴歸模式、多變量迴歸模式與典型相關分析等計量模式，對金融機構所做的擔保品估價進行驗證、預測及控制分析。 擔保品估價中會產生兩價，即擔保品的評估市場價格與評估擔保值（價），大部分的人都認為兩價存在一個比率關係。傳統的迴歸分析估價模式係由一組價格影響因素影響一個不動產價格，上述情形是否可能由同一組價格影響因素影響兩個不動產價格？本研究實證結果顯示，在95％統計信賴水準下，有兩個不動產價格受同一組價格因素影響的結果。既然驗證存在同一組價格影響因素影響兩個不動產價格，是否有更具效率的計量估價模式呢？典型相關分析係透過兩組變項之相關關係建構計量模式，除可再度驗證同一組價格影響因素影響兩個不動產價格，並可如同因素分析或主成份分析的功能，對兩組變項各做變項縮減的工作，達到對變項去蕪存菁的效果。 / This thesis is based on Article 19 No 7 and Article 20 of the Real Estate Appraisal Regulation. Seemingly Unrelated Regression Model, Multivariate Regression Model and Econometric Model and so on econometric model are applied. In addition, collateral valuations done by financial institutions are verified, predicted and analyzed. In collateral valuations, there are two-value references: assessed market value and assessed accommodation value. Majority believe that there is a ratio between these two values. The traditional regression analysis of the valuation model is having one set of pricing factors to have impact on the real estate price. However, is it possible that one set of pricing factors will affect two real estate prices? The findings approve that, under statistical confidence level with 95%, more than two real estate prices can be influenced by one set of pricing factors. Further more, this thesis also examines if there are other econometric valuation models to be applied? The canonical correlation analysis is to build a calculation model to analyze correlation between two variables. Other than examining one set of pricing factors can influence two real estate prices, this analysis also provides a similar function of the factor analysis or principal analysis to reduce variables caused by two sets of variable.

在全球化市場的激烈競爭環境中，資訊科技對企業而言已是一種提升競爭優勢的策略性設備，而先前文獻對於資訊科技能力的評估或與企業績效關聯性的探討，多以行為性問卷的認知數據量表進行研究，少有利用事實性問卷所收集的現象數據評估資訊科技能力及進一步分析資訊科技能力與企業績效關聯性之研究。故本研究基於資源基礎觀點理論，利用企業事實性現象填答問卷建立企業資訊科技能力評估模型，包含資訊科技的導入狀態、應用方式及使用經驗等現象相關問項，如硬體、網路、資訊系統應用程度及範圍等，並探討資訊科技能力與企業績效的關聯性。使用典型相關分析進行實證研究發現，針對先前政府委託調查所收集資料計算出來的企業資訊科技能力，與公開發行的上市櫃企業財務資料所計算出來的企業績效具有顯著關聯性，特別是會計型財務績效之經營能力，經檢定具統計顯著性。進一步進行產業別比較，先使用灰色熵權重分析對於各個子構面進行權重估計，並以權重加權法重新計算每一樣本之資訊科技能力，再進行單因子變異數分析，顯示各產業間之資訊科技能力及子構面能力多數呈現顯著差異。本研究所提出的資訊科技能力評估模型與企業績效關聯檢定模式，以及產業間資訊科技能力差異性分析模式，可提供政府或產業觀察機構建立長期觀測平台，以彙整各種產業資訊科技導入現象及應用範圍，使政府與企業可檢視整體產業整體或個別產業資訊科技能力之差異，藉以擬定資訊科技投資策略，提升企業競爭優勢。 / In the highly competitive globalization environment, information technology (IT) has become strategic equipment for leveraging a business’s competitive advantage. Most previous studies use perceptual questionnaire to collect behavioral data for evaluating IT capability, and furthermore to explore the relationship between IT capability and firm performance. Very few studies use factual questionnaire to collect the phenomenon data for analysis. In this study, we propose a model of evaluating IT capability based on Resource-Based View (RBV) theory and use factual phenomenon questionnaire including induction status, application approach, and usage experience, such as hardware, networks, IS application levels and scopes, etc. The research also explores the relationship between IT capability and firm performance. The IT capability data are calculated from the earlier government-sponsored survey. The firm performance data by financial indicators are collected or calculated from the open data of listed companies in Taiwan Stock Exchange and Over-the-Counter Agencies. The Canonical Correlation Analysis is used and shows significantly positive relationship for the IT capability affecting the firm performance, especially in Accounting-Based Financial Indicators. Before further analysis of industry comparison, Grey Entropy is used to estimate the weights of three sub-constructs and the overall IT capability is then re-calculated by integrating the weighted sub-construct capabilities. Afterwards, the One-Way ANOVA analysis is conducted and shows significant differences across industries in the overall IT capability of the firm and the IT capabilities of the sub-constructs. The proposed IT capability estimation model and the relationship analysis for the IT capability and firm performance can be used by the government or industry observation institution to continuously watch the industry IT capability phenomena and its relationship with the firm performance. The observation for the whole country and across industries can be used as a reference to pursue appropriate IT investments for strategic advantage.

高速公路系統建設可提升區域與區域之間的可及性與易行性，同時達到節省旅行時間和成本、高速公路交流道沿線地區土地價值上升等效果。此外，高速公路系統建設對於周圍地區人口、產業可產生相當程度之影響，例如大量的人口遷移、區域交通影響衝擊、社會和經濟層面產生重大變化等，進而改變國家及區域發展方向。於此情況下，合宜地評估及分析高速公路系統建設開發對國家及區域發展之影響，將有助於其推展並降低對地區之不利影響。 本研究希望以我國從1976至2010年來，共九條高速公路系統 建設為研究主軸，利用台灣城際運輸系統需求模式(TMD2008)之旅行時間資料、內政部戶口普查及工商普查資料為基礎，並運用事前事後比較(before and after analysis)與空間自相關分析(Spatial Autocorrelation analysis)等分析方法對高速公路系統建設所造成區域人口、產業之空間變動進行評估，分析高速公路系統建設對於區域人口、產業及交通可及性之空間分布變化影響。最後則建構高速公路可及性對區域人口及產業空間影響模型，並針對歷年來高速公路系統建設對國家及區域發展的影響進行實證分析。 / The benefits of highway infrastructure investments include promoted inter-regional accessibility and mobility, saved travel time and cost and increased land value in freeway interchange areas. In sum, highway infrastructure investments play an important role in national and regional development. It contributes to the population re-distribution, the growth of economic activities, and more importantly, the land use change. Therefore, how to effectively evaluate the impact of highway investments on national and regional development is an important research topic. The analytical results in this study can be applied to increase the accuracy of population and economic projection, and to manage transportation policy decisions. Between 1976 and 2010, there were nine highway systems had been built in Taiwan. This study emphasizes on the impact of highway investments on the spatial distribution of population and industry, and regional accessibility change. In this paper, we utilize before and after analysis and Spatial Autocorrelation analysis with Geographic Information System to analyze demographic data, economic data and TDM2008 database in order to perform the spatial analysis of population and industry re-distribution along highway constructions. Finally, a spatial gravity model is built to verify and describe the related spatial impacts so that several influential factors can be identified by this empirical study.