Title :
Real estate cross-efficiency measurement based on peer appraisal DEA model and method in main cities of China
Author_Institution :
Coll. of Biol. & Agric. Eng., Jilin Univ., Jilin
Abstract :
Real estate industry in main cities of China had obviously increasing tendency in the past few years. Both with disappearance of gap boundary between county and city and with expanding population in cities, the demands for house purchase become an obvious rising orientation in main cities of China. Real estate industry is stimulated and developed with the corresponding increase of demands. So, the running efficiency of real estate industry connects and reflects the living level and quality of citizen. Cross-efficiency is a DEA arithmetic method which used to calculate the relative efficiency of Decision Management Units (DMUs) in the view of peer-appraisal. The application of measuring real estate running efficiency of main cities in China by cross-efficiency was proposed in this paper. Meanwhile, aggressive and benevolent cross-efficiency models are the extension styles of basic cross-efficiency model. By using the aggressive model and benevolent model separately, we obtained the cross-efficiency fluctuating range for controlling the run efficiency of each city from the aspect of real estate.
Keywords :
data envelopment analysis; real estate data processing; DEA arithmetic method; aggressive model; benevolent cross-efficiency model; data envelopment analysis; decision management units; peer appraisal DEA model; real estate cross-efficiency measurement; real estate industry; Agricultural engineering; Appraisal; Arithmetic; Biological system modeling; Biology; Cities and towns; Conference management; Data envelopment analysis; Educational institutions; Engineering management; aggressive evaluation; benevolent evaluation; cross-efficiency; peer-appraisal; real estate;
Conference_Titel :
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-2387-3
Electronic_ISBN :
978-1-4244-2388-0
DOI :
10.1109/ICMSE.2008.4669129