根據IEA (International Energy Agency)的研究報告顯示，2020年以前之二氧化碳減量貢獻主要應來自於能源使用效率提升，而非生產性質行業中，批發零售業能源大用戶的能源使用總量約占整體非生產性質行業能源大用戶的16.5%，僅次於運輸倉儲業，因此有輔導節能之必要。本研究利用建築特徵變數、營運特徵變數及地理區位特徵變數，以分量迴歸模型建立批發及零售業之能源效率指標評估模型，並建立合適之能源效率指標管理方案及評估實施管理的效益。研究結果顯示，以2012年為例，若批發零售業中EUI (energy-use intensity)落於50百分位以上的廠商能達成所設定的節電目標，則百貨公司與購物中心約可節電5.37%，並減少二氧化碳排放35.26千公噸，而量販店約可節電4.4%，並減少二氧化碳排放16.06千公噸。

According to the World Energy Outlook 2012, the improvement of energy efficiency will contribute the reduction of CO2 emission more than 70% at 2020. Among the non productive industries in Taiwan, the Wholesale and retail industries energy usage participate with its 16.5%, ranks just behind transportation and warehouse industries. Therefore, it is necessary to counsel Wholesale and retail vendors to improve energy efficiency. This study employs quantile regression model to benchmark Wholesale and retail trade vendors' EUI. The variable of building characteristic, variables of operating characteristics, and variables of geographical characteristics are considered in the model. As example of 2012, if the firms, whose EUI above the 50th percentile, achieve the energy saving target, the shopping malls and shopping centers could have saved 5.37% electricity and reduce 35.26 thousand metric tons of CO2, whereas discount shops could have saved 4.4% electricity and reduce of 16.06 thousand metric tons of CO2.