| Summary: | 碩士 === 國立臺灣師範大學 === 運動休閒與餐旅管理研究所 === 103 === Abstract
The survival of mankind has been brought significant by abnormal weather and global warming. After consensus agreement of the Kyoto Protocol, global warming slowdown and carbon emissions reduction have become the most important environmental policies for nations in the world. In order to reduce carbon emissions, does F&;B (Food &; Beverage) industry need to reduce the time and cost of food ingredients, decrease food mileage thru using local food? There is a paucity of empirical researches about using local food, no mention to the study of whether the local food ingredients relevant with the performance of the restaurant industry. In the past, the matrix-based method for analyzing the impact of menu items on restaurant performance are prevalent, however, negelecting to consider the multi-factor method. Hence, this study adopts the input-oriented data envelopment analysis (DEA) with two inputs (food cost and main ingredients weights) and two outputs (contribution margin of the meals and popularity of the meals) to investigate the menu item performance of Taiwanese chain cuisine restaurants. The truncated regression is used to explore the determinants of the menu item efficiency. Managerial and strategic implications for menu planners and future research are described after conclusion.
Key words: Local Food, Food Mileage, DEA, Truncated Regression
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