本文採用一階段隨機邊界分析方法，建立一多投入多產出之投入距離函數模型，衡量民國81~91年間台灣66家國際觀光旅館經營之相對技術效率，同時探討造成不效率之因素。並利用投入導向Malmquist生產力指數進一步分析國際觀光旅館產業生產力改變的原因與幅度。 整體而言，台灣國際觀光旅館產業之經營效率大致呈現緩慢進步之趨勢。造成整體產業生產力提升之原因，主要為業者對於投入產出配置使用之效率改善，而非生產技術進步。除了整體經濟景氣因素當然影響觀光產業之興衰外，個別國際觀光旅館業者之效率表現仍受到許多因素影響。諸如規模、國際化程度等內部原因，及旅館是否位處風景區、所在地縣市政府對觀光發展投注之資源預算和該地市場競爭程度等外在因素。 從政府政策方面來分析，若以整體國際觀光旅館產業經營效率來衡量我國觀光產業興衰，民國87年隔週休二日政策及民國90年實施之全面週休二日政策，的確有效帶動國人休閒旅遊之風潮，促進國內觀光發展。而各縣市政府觀光相關支出與國際觀光旅館生產力變動之關係，呈現正向相關，則表示政府支出增加有助於觀光產業蓬勃發展，並增加國際觀光旅館之經營效率。由於觀光產業生產具外部性，政府積極利用觀光產業以帶動經濟景氣繁榮成長的政策應當可行。 / In this paper a multi-output, multi-input and input oriented distance function is built by one-stage stochastic frontier approach (Battese and Coelli, 1995) to estimate the relative efficiency of the 66 international tourist hotels in Taiwan in 1992~2002 and to explore the determinants of technical efficiency. In addition, the Malmquist productivity index model is used to analyze the range and the causes of the productivity changed. The results reveal that managerial efficiency of international tourist hotel industry improves gradually. The productivity growth can be attributed to efficiency gains, but not the effects of technical progress. There are significant differences in efficiency due to difference not only in the macroeconomic situation, but also in many other individual factors, such as scale, joining an international chain, located in scenic area, local government other economic service expenditure and competitiveness. Analyzing the government policy, the implementations of two-day-off twice a month policy in 1998 and two-day-off per week policy in 2001 have fostered domestic traveling and expanded tourist hotel industry. The local government other economic service expenditure has positive effect on efficiency of international tourist hotels. That is to say, increasing in local government tourist expenditure will promote tourism market and improve efficiency of a hotel. Because of the production externality in tourism industry the idea that government tries to promote tourism to benefit economic development would be workable.

本文採民國94、96、98、100、102年的台灣 「人力運用調查」 資料庫, 以關聯結構法找出組合誤差間的關聯結構密度函數與聯合機率密度函數, 建構隨機邊界關聯結構模型, 解決勞動市場上樣本選擇性問題。 之後分別針對男性及女性估計薪資方程式, 探討每位勞工的薪資效率程度。 本文男、 女性的勞工各按年齡、 工作經驗、 職業、 行業、 教育程度、 公司規模、 工作身分、 婚姻狀態、 工作地分為9大類, 在各類中分群比較薪資效率。 實證結果顯示, 公司規模、 工作身分、 工作地等 3 類, 不論有無考慮樣本選擇, 同一性別中的薪資效率變動趨勢大致一致, 但其餘 6 類, 有考慮樣本選擇的薪資效率變動明顯不同於未考慮樣本選擇。 在考慮了樣本選擇之後的實證結果大多打破以往文獻的預期, 可能是因為過往文獻探討薪資效率時, 大多未考慮樣本選擇, 即將無工作者樣本完全排除, 導致迴歸分析結果僅適用於有工作者。 除了探討薪資效率外, 本文也嘗試在隨機邊界法的架構下, 提出一個衡量性別歧視的新觀點, 將兩性薪資無效率的差異視為一種性別歧視。 若以新觀點衡量台灣的勞動市場, 會發現這5個年度中, 薪資差異幾乎可以完全歸諸於性別歧視。 這顯示即使兩性的薪資差異雖然逐年縮小, 但性別的刻板印象仍存於當今的台灣勞動市場, 造成明顯的性別歧視。 / This paper adopts the "Manpower Utilization Survey" data, a database conducted by Directorate General of Budget, Accounting & Statistics, Executive Yuan, ROC (DGBAS), to study the issues of gender wage differentials and underpayment. The econometric model considers sample selection under the framework of the stochastic frontier model with copula methods. It requires to correct for sample selection and derive the copula density function and joint probability density function by copula method. We separately estimate the male and female wage equations, respectively, to evaluate the wage efficiency and decompose the average wage differential between male and female into several components. The paper distinguishes workers into 9 categories, including age, experience, occupation, industry, education, firm size, working identity, marital status and working area, and compares the wage efficiency between those categories. The empirical results shows that, the trend of wage efficiency in the categories of firm size, working identity, and working area are almost the same in each gender whether correcting for the sample selection bias or not. However, in the remaining 6 categories, the wage efficiency changes substantially after correcting the sample selection bias. With the correction of the sample election bias, most of the findings differ from those from the past literatures. This may be attributed to the fact that the past works mainly focus on employed workers and lead to possible sample selection bias. The paper also tries to offer a new method to measure the gender discrimination, which considers the difference in wage inefficiency between the male-female inefficiency as an element of discrimination. The paper finds that the wage differential between male and female can explain almost the entire discrimination. This findings confirms that the gender discrimination still exists in the Taiwan’s labor market eventhough the wage differential between male and female decreases over time.