|Abstract: ||本研究主要目的為探討觀光旅館用電效率，透過OLS模型及Panel Data模型建立用電效率評估模型，計算各觀光旅館合理用電量及修正後用電效率指標，提供予政府進行用電效率查核之參考，以及業者同業間用電效率比較工具，相較一般以單位面積用電量作為衡量指標，此方法可同時考量經濟發展、氣候因素及營業規模等變數。|
本研究以臺灣2005至2014年(10年間)用電契約容量達800瓩以上之觀光旅館Panel Data為分析資料，樣本數總計500筆，樣本之平均用電量為882萬度、平均單位面積用電量225.69度/m2、平均營業收入新臺幣6.88億元、平均樓地板面積4萬3,460 m2、平均電價新臺幣2.52元/度、年平均氣溫23.57℃。
;The purpose of this study is to aim at the discussion of electricity efficiency in tourist hotel in Taiwan. Our model is to evaluate the reasonable electricity consumption and the normailized electricity efficiency index for the tourist hotel, which support the decision process to audit the energy uses as well as the peer review for electricity efficiency in the industry. Our model considers not only the average electricity consumption per unit area, but also the economic development, business scale, and climatic factors.
The data collected from those tourist hotels that have the electricity use contract capacity more than 800 kW from 2005 to 2014 in Taiwan. The total number of observations is 500, which shows that the average electricity consumption is 8,820 kW, the average electricity consumption per unit area(EUI) is 225.69 kWh/ m2, the average revenue is NT $688 million dollars, the average floor area is 43,460 m2, the average electricity price is NT $ 2.52 dollars/ kWh, and the average annual temperature is 23.57 ℃.
The study uses the total electricity consumption and the average electricity consumption per unit area as dependent variable respectively. Our estimation results are as follows:
First, the hotel revenue, the area of floor and the average temperature have the positive effect on the electricity consumption. Second, the revenue elasticity of electricity is 0.3449, and the price elasticity of electricity is 0.3507 in tourist hotel industry. There is economies of scale for the electricity consumption on the floor area and hotel revenue. Third, the electricity price has the significant negative effect on the electricity consumption, which suggests that the government can regard it as the priority enrgy-saving measurement. Fourth, it can build the assensment model by using the hotel revenue, floor area, electricity price, and temperature as explanatory variables. Finally, the estimation found that the energy saving rate can be as high as 7.88% and 14.33% if all hotels match the reasonable electricity consumption or the normalized EUI in 2014.