Benefit Evaluation of Real Estate Industry Based on SBM Model

Authors

  • Mengting Zhuang Anhui University of Finance and Economics Statistics and Applied Mathematics Bengbu

DOI:

https://doi.org/10.30564/ret.v4i4.4055

Abstract

According to the situation of real estate industry in different provinces and cities, the benefit is different, and the benefit of real estate industry in some regions is low. Based on the statistical data of real estate industry in various regions, this paper selects nine indicators, such as the number of enterprises, the average number of employees, the land purchase area (10000 square meters) in this year, to evaluate and analyze the benefit of real estate industry in 31 regions of China by using two-stage super efficiency model. The results show that the input-output of the real estate industry in 17 regions is effective, and the remaining 14 regions are DEA ineffective. The reasons for the inefficiency of the input-output are analyzed, and some suggestions to improve the efficiency are given.

Keywords:

Real estate; Benefit evaluation; Super efficiency; SBM

References

[1] Chen Zhigang, Wu Guowei, Zhang Hao. How the real estate bubble affects the real economy investment [J]. finance and economics science, 2018, (03): 93-106.

[2] Yang yingzhe, Huang Guangqiu, Zheng Haotian. Fuzzy Two-stage DEA model for evaluating the transformation efficiency of real estate enterprises [J]. Journal of Xi'an University of architecture and Technology (NATURAL SCIENCE EDITION), 2017,49 (02): 296-303

[3] Yuan Qingmin, Yin Shanshan. Evaluation and Analysis on periodic characteristics of real estate efficiency in three urban agglomerations [J]. Management modernization, 2020,40 (05): 31-35

[4] Deng Ming Liang, Wu Chuan Qing. Research on the input output efficiency of real estate industry in the Yangtze River economic belt [J]. Statistics and decision, 2020,36 (18): 114-118

[5] Xu Jianzhong, Zhao Yanan. Research on regional low carbon innovation network efficiency based on j-sbm Three-stage DEA model [J]. Management review, 2021,33 (02): 97-107

[6] Huo Fudong, Lai Jiyu, Zou Lei, Li Xiaojuan, sun Huawei. Analysis of obstacles and Countermeasures for the application of 5dbim in real estate projects based on triangular fuzzy number AHP [J]. Journal of Jiamusi University (NATURAL SCIENCE EDITION), 2019,37 (06): 853-857 + 870

[7] Wang Jinghui, Niu xican, Wu Yue, Zhang Huanming. Evaluation of energy conservation and emission reduction performance in Anhui Province Based on DEA and cluster analysis [J]. Journal of Jiamusi University (NATURAL SCIENCE EDITION), 2019,37 (03): 463-466 + 495

[8] Guan Siqi. Research on the value relevance and presentation of other comprehensive income of listed real estate companies [D]. Jiamusi University, 2018

[9] Lu Miaomiao. Evaluation of Reader Satisfaction Based on fuzzy theory and data envelopment analysis [J]. Journal of Jiamusi University (NATURAL SCIENCE EDITION), 2017,35 (02): 344-346

[10] Jia Siyu, Yang Penghui, Li Hui, Lin Wenbin. Evaluation of medical services in Grade 3A hospitals based on Data Envelopment Analysis: a case study of Bengbu City in Anhui Province [J]. Journal of Jiamusi University (NATURAL SCIENCE EDITION), 2016,34 (04): 652-656

[11] Zhi Dongxiao. The influence of index correlation on the effectiveness of DEA evaluation [J]. Statistical education, 2009, (06): 40-44

Downloads

Issue

Vol. 4 , Iss. 4 (November 2021)

Article Type

Articles

License

Copyright and Licensing

The authors shall retain the copyright of their work but allow the Publisher to publish, copy, distribute, and convey the work.

Review of Educational Theory publishes accepted manuscripts under Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Authors who submit their papers for publication by Review of Educational Theory agree to have the CC BY-NC 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for non-commercial use. As long as you follow the license terms and original source is properly cited, anyone may copy, redistribute the material in any medium or format, remix, transform, and build upon the material.

License Policy for Reuse of Third-Party Materials

If a manuscript submitted to the journal contains the materials which are held in copyright by a third-party, authors are responsible for obtaining permissions from the copyright holder to reuse or republish any previously published figures, illustrations, charts, tables, photographs, and text excerpts, etc. When submitting a manuscript, official written proof of permission must be provided and clearly stated in the cover letter.
The editorial office of the journal has the right to reject/retract articles that reuse third-party materials without permission.

Journal Policies on Data Sharing

We encourage authors to share articles published in our journal to other data platforms, but only if it is noted that it has been published in this journal.