本研究採用資料包絡分析法（DEA），特別是BCC模型，對桃園市電梯大樓的性價比進行了深入分析。研究利用公開資訊網「內政部不動產交易實價登錄網」的數據，評估桃園市不同區域房地產的市場表現，並從中識別高性價比的標杆物件。透過對房地產市場的綜合分析，本研究顯示DEA是一個強大的工具，能夠有效的評估多輸入輸出的情境中各物件的效率，並為市場參與者提供決策支持。此外，利用benchmarking方法，本研究進一步比較了市場上其他待售物件與效率標杆的相對效率，以確定哪些物件達到或超越了標杆水準。研究結果對於提升房地產市場的透明度與效率具有重要意義，並為未來房地產評估提供了新的方法論之框架.

This study employs Data Envelopment Analysis (DEA), specifically the BCC model, to conduct an in-depth analysis of the effectiveness of elevator-equipped buildings in Taoyuan City. Utilizing data from the "Ministry of the Interior's Real Estate Transaction Registration Network," the study evaluates the market performance of real estate in different areas of Taoyuan City and identifies benchmark properties with high cost-effectiveness. Through a comprehensive analysis of the real estate market, this research demonstrates that DEA is a powerful tool capable of effectively assessing the efficiency of properties in scenarios with multiple inputs and outputs, providing decision support for market participants. Additionally, using benchmarking methods, the study further compares the relative efficiency of other properties for sale in the market to efficiency benchmarks to determine which properties meet or exceed these levels. The findings are significant for enhancing transparency and efficiency in the real estate market and provide a new methodological framework for future real estate evaluations.

[1] Akerlof, G. A. and R. J. Shiller (2015). Phishing for phools: The economics of manipulation and deception. Princeton, NJ, US, Princeton University Press.
[2] Banker, R. D., et al. (1984). "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis." Management Science 30(9): 1078-1092.
[3]CBRE. (2023). Market Outlook. Retrieved from https://www.cbre.com/research-and-reports
[4] Charnes, A., et al. (1978). "Measuring the efficiency of decision making units." European Journal of Operational Research 2(6): 429-444.
[5] Knight Frank. (2023). Global Cities Report . Retrieved from https://www.knightfrank.com/research
[6] Lichtenstein, D. R., et al. (1993). "Price Perceptions and Consumer Shopping Behavior: A Field Study." Journal of Marketing Research 30(2): 234-245.
[7] Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking. Data envelopment analysis with spreadsheets. 3rd ed.
[8]何彥陞(2011),“不動產交易管制與資訊揭露之研究”, 國立臺北大學不動產與城鄉環境學系博士論文.
[9]洪鉛財、黃國龍(2005), “國內育成中心績效評估與驗證-資料包絡分析法應用”, 第九屆科際整合管理研討會,頁611-629.
[10]張莉君(2016) ,“迎毗設施及鄰避設施對房屋價格影響之研究–以新北市板橋區及新莊區為例”.國立中央大學產業經濟研究所碩士論文.
[11]陳增朋(2007).“台灣地區大學校院體育室經營效率之評估-資料包絡分析法之應用”.體育學報第40卷第二期,頁79-92.
[12]廖慧芳（2006）,“金控子銀行效率分析—三階段DEA 模型之應用”.國立中央大學產業經濟研究所碩士論文.
[13]魏权龄 (2000),“数据包络分析(DEA) ”, 科学通报 45(17).
[14]朱芳妮、陳明吉,“從行為經濟學看台灣不動產市場：羅伯特．席勒教授來台演講之省思與啟示,”中華民國住宅學會. 取自https://www.housing.org.tw/journal-articles/thesis-148.
[15]江勁毅、曾國雄（2000）,“新的DEA效率衡量方式：以模糊多目標規劃建立之效率達程度”,管理學報,第十七卷第二期,頁369-388.