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研究生:陈氏美仙
研究生(外文):Thi My Tien, Tran
論文名稱:Evaluating the Operational Efficiency of Real Estate Industry in Taiwan by a Two-Stage DEA
論文名稱(外文):Evaluating the Operational Efficiency of Real Estate Industry in Taiwan by a Two-Stage DEA
指導教授:Ming-Chi Tsai
指導教授(外文):Ming-Chi Tsai
學位類別:碩士
校院名稱:義守大學
系所名稱:企業管理學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:81
外文關鍵詞:DEA modelReal Estate IndustryPerformance Evaluation
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The Real Estate industry is one of most important field that generally attracted the most attention of the State as well as the business world to all of countries in the world and partially in Taiwan.. In recent years the real estate industry in the world has been in trouble, and Taiwan is not in exception. Most companies still can’t deal with the industry marketing problem, but the real estate constructions and development companies on and on are constantly setting up and developing, they are all facing strict market competition. Each Real estate company must understand the means of relative efficiency in the industry, and by assessing their advantages and disadvantages they are able to formulate their competitive strategies.
This study uses a Two-stage Data Envelopment Analysis (DEA), and applies the information in 2012 (Taiwan''s economy research institute industry database, 2012) for performance evaluation on operational efficiency and marketing efficiency changes of 29 Real Estate companies in Taiwan. The first stage model is to evaluate the operating efficiency of the company by using total assets, fixed assets, operating costs, operating expense, non-operating expenses as five input variables, and using net sales and operating profit as two output variables, in order to measure the Technical efficiency, Pure Technical efficiency and Scale efficiency of company. Then this study uses slack variable analysis to provide direction for industry improvement with poor performance, the reference frame and suggestion and sensitivity analysis to find which factor influence to others. The second stage is to evaluate the marketing efficiency with net sales and operating profit as two input variables on one hand, and uses earning per share, equity per share, turnover per share, cash flow per share, revenue per person, each business interests as six output variables on the others


Acknowledgements i
Abstract ii
List of Tables v
List of Figures vi
Chapter 1 INTRODUCTION 1
1.1 Research Background and Motivation 1
1.2 Research Objectives 2
1.3 Research Process 3
Chapter 2 LITERATURE REVIEW 5
2.1 Real Estate Industry 5
2.1.1 The Definition of Real Estate 5
2.1.2 Real Estate Industrial Development 6
2.2 Performance Evaluation 7
2.2.1 Definition of Performance Evaluation 7
2.2.2 Techniques for Performance Evaluation Method 8
2.3 Data Envelopment Analysis 11
2.3.1 CCR Model 12
2.3.2 BCC Model 14
2.3.3 The Characteristics of Data Envelopment Analysis and Limits 15
2.4 Sensitivity Analysis 16
2.5 Slack Analysis 17
2.6 Sorting 17
2.7 Two-Stage DEA Model 19
Chapter 3 METHODOLOGIES 25
3.1 Research Sample Selection 25
3.2 The Selection of Input and Output 26
3.3 Research Model 28
3.4 Analytical Approach 29
Chapter 4 RESULT AND DISCUSSION 32
4.1 The First Stage Efficiency Analysis 32
4.1.1 Descriptive Statistics 32
4.1.2 Efficiency Analysis 32
4.1.3 Efficiency Improvement 34
4.1.4 Sensitivity Analysis 36
4.1.5 Sorting 37
4.2 The Second Stage Efficiency Analysis 40
4.2.1 Descriptive Statistics 40
4.2.2 Efficiency Analysis 40
4.2.3 Efficiency Improvement 42
4.2.4 Sensitivity Analysis 43
4.2.5 Sorting 45
4.3 The Comparison between Two- stage 48
Chapter 5 CONCLUSIONS AND SUGGESTIONS 52
5.1 Research Summary 52
5.2 Operating Efficiency 52
5.3 Marketing Efficiency 53
5.4 Research Limitation 55
5.5 Future Studies and Suggestion 55
Bibliography 56
Appendix A: Original data of all Real Estate Companies of the First Stage in Taiwan in 2012 59
Appendix B: Original data of all Real Estate Companies of the First Stage in Taiwan in 2012 61
Appendix C: Improvement suggestion from Slack Analysis of the First Stage 63
Appendix D: Improvement suggestion from Slack Analysis of the Second Stage 68



Banker, R., Charnes, A., & Cooper, W. (1984). Some models for estimating technical and scale in effiences in data envelopment analysis. Management Science, 30(12), 1078-1092.
Boussofiane, A., Dyson, R.G., & Thanassoulis, E.(1991). Applied data envelopment analysis. Journal of Operational Research, 52, 1-15.
Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operation Research, Vol.2, 429-444.
Charnes, A., Cooper, W., & Rhodes, E. (1981). Evaluating program and managerial efficiency: An application of data envelopmet analysis to program follow through. Management Science, 27, 668-697.
Charnes, A., Cooper, W., Lewin, A., Morey, R.C., & Rousseau, J. (1985). Sensitivity and stability analysis in DEA. Annals of Operation Research(2), 139-156.
Cronin, & Mary, J. (1985). Performance measurement for public services in academic and research libraries. Washinton, D.C: American Reseach Library.
Farell, M.J. (1957). The measurement of productive efficiency. Journal of The Royal Statistical Society, 120(3), 253-290.
Hewlett, C. A.(1999). Strategic Planning for Real Estate Companies, Journal of Property Management, Vol. 64, 146-160.
Kao, C., & Hwang, S.N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application 10 non-life insurance companies in Taiwan. European Journal of Operational Research, 185, 418-429.
Kantor, P. B. (1984). Objective performance measures for academic and research libraries. Washington,D.C: American Research Library.
Lewin, A. Y., & Minton, J. W. (1986). Determining organizational effectiveness: Another look and an agenda for research. Management Science, 32(5), 514-538.
Luo, X. (2003). Evaluation the profitability and marketability efficiency of large banks an application of data envelopment analysis. Journal of Business Research, 56(8), 627-635.
Luo, X., & Donthu, N. (2001). Benchmarking advertising efficiency. Advertising Research, 41(6), 7-18.
Lo, S.F. and W.M. Lu (2006). Does size matter? Finding the profitability and marketability benchmark of financial holding companies, Asia-Pacific Journal of Operational Research, 23(2), 229-246.
Tsai, H., Chen, C., & Tzeng, G. (2006). The comparative productivity efficiency for global telecoms. Int. J. Production Economics(103), 509-526.
Seiford, L. (1996). Data envelopment analysis: The evolution of the State of the art (1978-1995). Journal of Productivity Analysis(7), 99-137.
Seiford, L., & Zhu, J. (1999). Profitability and marketability of the top 55 U.S. commercial banks. Management Science, 45(9), 1270-1288.
Saaty, T. (1980). The Analytic Hierarchy Process. New York: McGraw- Hill.
Williams, J. T.(1991),”Real Estate Development as an Option”, Journal of Real Estate Finance and Economics, Vol. 4, 191-208.
Zhu, J. (2000). Multi-factor performance measure model with an application to fortune 500 companies. European Journal of Operational Research, 123(1), 105-124.
Tsai, S. M., Huang, T. Y., Pan, M. H. (2011). A Case Study of Measuring Operational Efficiency of the Financial Intermediation: Apply Two-Stage Data Envelopment Analysis Approach., 28(3), 247–265.
Kao, T. L., Hwang, S. N. (2005). Measuring Managerial Efficiency of Non-Life Insurance Industry in Taiwan: An Application of Two-Stage DEA Approach.,31(1), 57–790.
Sun, S. (2004). Data Envelopment Analysis- Theory and Application., Taipei: Yang-Chih Culture.
Qiang, G., Hwang, Sh. N., T, S. (2003). Management Performance Evaluation: Data Envelopment Analysis., Taipei: Hua-tai Culture.
Bao, C. P. (2007). Performance Evaluation of Data Envelopment Analysis., Taipei: Wu-nan Library.
Bao, C. P. (2008). DBA in Performance Evaluation of the Comprehensive Application., Taipei. Wu-nan Culture.
Shuang, C. G., Drucker, P. F. (2000). Harvard Business Review on Measuring Corporate Performance., Taipei: World foresight.
The definition of Real Estate: http://zh.wikipedia.org/wiki/%E4%B8%8D%E5%8B%95%E7%94%A2
Taiwan Economic Journal
http://www.tej.com.tw/webtej/doc/fin/wf3.htm
Scholastic Sankei Database
http://tie.tier.org.tw/number_db/company/dbmain.asp
Taiwan''s Economy New Financial Database
http://www.tej.com.tw/webtej/doc/fin/wf3.htm


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