台灣民宿產業之效率分析－資料包絡分析法之應用

彭寶成

doi:10.6342/NTU.2015.00441

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台灣民宿產業之效率分析－資料包絡分析法之應用

A Study on the Efficiency of Home Stay Facilities Industry in Taiwan－An Application of Data Envelopment Analysis

彭寶成 , Masters　　Advisor：雷立芬　　

繁體中文 DOI： 10.6342/NTU.2015.00441

民宿；資料包絡分析法； Tobit迴歸； home stay facilities ； data envelopment analysis ； Tobit regression

Abstract │ Reference (40) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

Taiwan’s local agriculture has been spectacularly affected by the trade liberalization after becoming the member of WTO, however it has also delivered the opportunity of agricultural transition. The concept of integrating agriculture and tourism has been initialized, which leading the growth of home stay facilities industry. Since the criteria is letting people easily enter to the industry, the growth rate of numbers of new home stay facilities business increased year by year. But something has become serious, including the large number of inefficient businesses and illegal home stay facilities, which are now the focused issues in the society.
As an emerging industry, home stay facilities’ position in tourism is not defined clearly. In order to explore the home stay facilities industry and give comment for maintaining the market equilibrium, this thesis uses Data Envelope Analysis (DEA) and Tobit Regression to find the role of Taiwanese home stay facilities in terms of efficiency.
This thesis collected the data of 127 towns in 5 years (2009-2013) for DEA; In the Tobit Regression, the values from the result of DEA are as dependent variable, and the selected environmental facts are as the independent variables, including “price and service”, “industry ecosystem”, “geographies” and “Law”.
The consequence as below:
1. In the “price and service” perspective, “times rooms have been rented”, “ratio of revenue from meals and revenue from rooms” and “average price” is positively affected by efficiency.
2. In “industry ecosystem” perspective, “ratio of revenue of hostel and revenue of home stay facilities” is negatively affected by efficiency; “ratio of labors of hostel and labors of home stay facilities” is positively affected by efficiency.
3. In “geographies” perspective, the “areas in eastern Taiwan” and the “islands” perform worse than others.
4. In “Law” perspective, “ratio of illegal home stay facilities and legal home stay facilities” is positively affected by efficiency.

Reference ( 40 ) 〈TOP〉

于健、魏棋 (2013)，「影響民宿訂價特徵因素之研究－以宜蘭縣為例」，《管理資訊計算》， 2(1)，176-186。
連結：
江啟臣(2005)，「坎昆會議下的 WTO 角色：主要國際關係理論的詮釋」，《政治科學論叢》，23，133-168。
連結：
吳乾正 (2001)，「農園的民宿經營」，《農業經營管理會訊》，27，10-11。
連結：
林杏、吳幸玲、陳桓敦，文祖湘 (2013)，「原住民部落民宿行銷突破關鍵－以新竹縣五峰鄉白蘭部落為例」，《區域與社會發展研究》，4，263-285。
連結：
林舜涓、蔡佳燕、邱莉文 (2007)，「由住宿體驗提高顧客之行為意向－以花蓮民宿為例」，《觀光旅遊研究學刊》，2，73-92。
連結：

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