| dc.contributor.advisor | 李文福<br>王媛慧 | zh_TW |
| dc.contributor.advisor | Lee, Wen-Fu<br>Wang, Yuan-Hwey | en_US |
| dc.contributor.author (Authors) | 翁竹君 | zh_TW |
| dc.contributor.author (Authors) | Weng, Chu-Chun | en_US |
| dc.creator (作者) | 翁竹君 | zh_TW |
| dc.creator (作者) | Weng, Chu-Chun | en_US |
| dc.date (日期) | 2004 | en_US |
| dc.date.accessioned | 18-Sep-2009 16:05:56 (UTC+8) | - |
| dc.date.available | 18-Sep-2009 16:05:56 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-Sep-2009 16:05:56 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0922580331 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35809 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 經濟研究所 | zh_TW |
| dc.description (描述) | 92258033 | zh_TW |
| dc.description (描述) | 93 | zh_TW |
| dc.description.abstract (摘要) | 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。 | zh_TW |
| dc.description.abstract (摘要) | 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. | en_US |
| dc.description.tableofcontents | 第一章 緒論…………………………………………………………………………… 1 1.1研究動機與目的………………………………………………………… 1 1.2研究範圍與限制………………………………………………………… 2 1.3文章架構………………………………………………………………… 3第二章 產業概況與文獻回顧………………………………………………………… 4 2.1 國際觀光旅館產業概況……………………………………………… 4 2.2 文獻回顧……………………………………………………………… 9第三章 研究方法……………………………………………………………………… 17 3.1技術效率的定義與距離函數…………………………………………… 17 3.2效率估計—隨機邊界分析法…………………………………………… 19 3.3 Malmquist生產力指數………………………………………………… 22第四章 實證結果與分析……………………………………………………………… 26 4.1變數選取與說明………………………………………………………… 26 4.2距離函數估計結果……………………………………………………… 34 4.3國際觀光旅館經營效率分析…………………………………………… 39 4.4 Malmquist生產力指數………………………………………………… 43 4.5敏感性分析……………………………………………………………… 51第五章 結論與建議…………………………………………………………………… 55 5.1結論……………………………………………………………………… 55 5.2後續研究建議…………………………………………………………… 56參考文獻……………………………………………………………………………… 58附錄…………………………………………………………………………………… 62圖 目 錄圖2-1 國際觀光旅館家數…………………………………………………………… 8圖3-1 投入距離函數（N＝2）……………………………………………………… 18圖3-2 產出距離函數（M＝2）……………………………………………………… 18圖4-1 國際觀光旅館年度平均效率變化趨勢（模型一）………………………… 43圖4-2 各年度生產力累積變動幅度………………………………………………… 48圖4-3 長期產業領導者（以81∼91年平均計）…………………………………… 49圖4-4 中期產業領導者（以81∼86年平均計）…………………………………… 50圖4-5 中期產業領導者（以87∼91年平均計）…………………………………… 51表 目 錄表2-1 近年營業之國際觀光旅館投資金額……………………………………… 5表2-2 國內外旅館效率分析相關文獻…………………………………………… 16表4-1 旅館位處縣市及觀光局分類……………………………………………… 26表4-2 模型使用變數……………………………………………………………… 31表4-3 各項變數之基本統計量（全部資料）…………………………………… 33表4-4 各項變數之基本統計量（隔週休前）…………………………………… 33表4-5 各項變數之基本統計量（隔週休後）…………………………………… 34表4-6 隔週休政策施行前後各項變數變動率…………………………………… 34表4-7 投入距離函數參數估計（模型一）……………………………………… 38表4-8 技術效率估計值（模型一）……………………………………………… 41表4-9 國際觀光旅館生產力變動估計結果（模型一）………………………… 44表4-10 短期產業領導者（以各年度平均計）…………………………………… 51表4-11 投入距離函數參數估計（模型二）……………………………………… 53表4-12 模型一與模型二估計值之相關性分析…………………………………… 54附表1 技術效率估計值（模型二）……………………………………………… 62附表2 國際觀光旅館生產力變動估計結果（模型二）………………………… 63 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0922580331 | en_US |
| dc.subject (關鍵詞) | 國際觀光旅館 | zh_TW |
| dc.subject (關鍵詞) | 技術效率 | zh_TW |
| dc.subject (關鍵詞) | Malmquist生產力指數 | zh_TW |
| dc.subject (關鍵詞) | 一階段隨機邊界模式 | zh_TW |
| dc.subject (關鍵詞) | International tourist hotel | en_US |
| dc.subject (關鍵詞) | Technical efficiency | en_US |
| dc.subject (關鍵詞) | Malmquist productivity index | en_US |
| dc.subject (關鍵詞) | One-stage stochastic frontier approach | en_US |
| dc.title (題名) | 台灣國際觀光旅館業生產力與效率分析：隨機邊界距離函數之應用 | zh_TW |
| dc.type (資料類型) | thesis | en |
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