Evaluation on real estate companies’ debt financing efficiency based on the three-stage DEA model

Abstract

Abstract: Based on the three-stage Data Envelopment Analysis (DEA) model, and focusing on the evaluation of debt financing efficiency of a sample of 39 real estate companies which are listed in Shanghai and Shenzhen Stock Exchanges and which are randomly selected from the 1st-tier, 2nd-tier and 3rd-tier cities, this paper isolates the environmental factors influencing the input variables and studies the debt financing efficiency of each company under the regulatory policies to the real estate companies. The study results show that the listed sample companies' technical efficiency of debt financing has somewhat improved compared with the figure obtained before the input variables are adjusted; that the uneven level of listed real estate companies' pure technical efficiency of debt financing in China shows obvious difference; and that 76.92% of the companies' are in the state of decreasing the returns to scale which can be improved by narrowing the scale of debt financing, and thus their debt financing efficiency can be enhanced to a certain extent.

Key words: the regulation and control of the real estate, the listed companies, the efficiency of debt financing, the three-stage DEA model

CLC Number:

F830.572

Lin Yu, Qiu Yu, Gao Qingping. Evaluation on real estate companies’ debt financing efficiency based on the three-stage DEA model[J]. Science Research Management, 2013, 34(8): 147-157.

References

[1] 田满文. 中国农业上市公司债务融资效率比较研究[J]. 农业经济问题, 2009(9):75-82.Tian Manwen. Comparative Study on Efficiency of Chinese Agricultural Listed Companies' debt financing[J]. Issues in Agricultural Economy, 2009(9):75-82. [2] 张喆,张闯,朱宏. 钢铁企业电子商务营销的模糊评价[J]. 工业工程与管理, 2006(3):58-63.Zhang Zhe, Zhang Chuang, Zhu Hong. Fuzzy Assessment on E-commerce Marketing in Iron and Steel Enterprises[J]. Industrial Engineering and Management, 2006(3):58-63. [3] 刁丽琳,张蓓,马亚男. 基于SFA模型的科技环境对区域技术效率的影响研究[J]. 科研管理, 2011, 32(4):142-151.Diao Lilin, Zhang Pei, Ma Yanan. The impact of technological environment on regional technical efficiency based on a stochastic frontier analysis model[J]. Science Research Management, 2011, 32(4):142-151. [4] 黄静. 外资银行进入与转轨国家东道国银行业效率——基于中东欧国家及DEA方法的研究[J]. 世界经济研究, 2010(1):33-37.Huang Jing. The Entrance of Foreign Bank and the Efficiency of Host Bank in Transition Country:An Research based on Central and Eastern Europe and DEA Approach[J]. World Economy Study, 2010(1):33-37. [5] A.Charnes, W. W. Cooper, E. Rhodes. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2(6):429-444. [6] 谢子远.国家高新区技术创新效率影响因素研究[J]. 科研管理, 2011, 32(11):52-58.Xie Ziyuan. DEA new and high technology development zone innovation efficiency of science and technology influencing factor[J]. Science Research Management, 2011, 32(11):52-58. [7] 葛虹,黄炜,徐红英. 基于决策者选择偏好的网络DEA模型——以我国若干家商业银行为例[J]. 运筹与管理, 2011, 20(1):135-142.Ge Hong, Huang Wei, Xu Hongying. Network DEA Models with Decision Maker's Selection Bias—An Application of Commercial Banks in China[J]. Operations Research and Management Science, 2011, 20(1):135-142. [8] Sarah M. Estelle, Andy L. Johnson, John Ruggiero. Three-stage DEA models for incorporating exogenous inputs [J]. Computers & Operations Research, 2010, 37(6):1087-1090. [9] Fare R, Grosskopf S. Network DEA [J]. Socio-Economic Planning Sciences, 2000, 34:35-49. [10] Fried H O, Lovell C A K, Schmidt S S, Yaisawarng S. Accounting for environment effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002, 17(1-2):157-174. [11] Jonchi Shyu, Terri Chiang. Measuring the true managerial efficiency of bank branches in Taiwan:A three-stage DEA analysis [J]. Expert Systems with Applications, 2012, 39:11494-11502. [12] James Jondrow, C. A. Knox Lovell, Ivan S. Materov, Peter Schmidt. On the estimation of technical inefficiency in the stochastic frontier production function model [J]. Journal of Econometrics. 1982, 19(2-3):233-238. [13] 罗晓丽. 2010~2011年房地产市场年度报告[R]. 成都:普益财富, 2011.Luo Xiaoli. The annual report on 2010~2011 real estate market[R]. ChengDu:PuYi Wealth, 2011. [14] Kun Guo, Jue Wang, Gushan Shi, Xuehui Cao. Cluster analysis on city real estate market of China:based on a new integrated method for time series clustering [J]. Procedia Computer Science, 2012, 9:1299-1305. [15] Xiaoqing Eleanor Xu, Tao Chen. The effect of monetary policy on real estate price growth in China [J]. Pacific-Basin Finance Journal, 2012, 20(01):62-77. [16] Songtao Wang, Zan Yang, Hongyu Liu. Impact of urban economic openness on real estate prices:evidence from thirty-five cities in China[J]. China Economic Review, 2011, 22(01):42-54. [17] Liu Yang, Hu Zhiqiang. Correlation between RMB exchange rate and real estate price based on financial engineering [J]. Systems Engineering Procedia, 2012, 3:146-152. [18] Xiaoqing Eleanor Xu, Tao Che. The effect of monetary policy on real estate price growth in China [J]. Pacific-Basin Finance Journal, 2012, 20:62-77. [19] Jayati S, Subrata S. Debt and corporate governance in emerging economies:evidence from India [J]. Econo-mies of Transition, 2008, 16(2):293-334. [20] 江伟,李斌. 制度环境、国有产权与银行差别贷款[J]. 金融研究, 2006(11):116-126.Jiang Wei, Li Bin. Institutional Environment, State Ownership and Lending Discrimination[J]. Journal of Financial Research, 2006(11):116-126. [21] 栾天虹,唐勇. 内部人股权比例与债务期限结构——基于制度环境的分析[J]. 经济学家, 2009(2):63-68.Nuan Tianhong, Tang Yong. Insider ownership ratio and debt maturity structure-analysis based on institutional environment[J]. Economist, 2009(2):63-68. [22] 王娜. 债务融资结构与公司价值的实证研究——来自中国房地产上市公司的经验证据[D]. 四川:西南财经大学, 2009.Wang Na. Studies on debt financing structure and corporate value of empirical from China's real estate of the listed company of empirical evidence[D]. Si Chuan:Southwestern University of Finance and Economics, 2009. [23] 翁少群,张红,刘洪玉. 我国房地产上市公司债务融资水平分析[J]. 中国房地产, 2003(12):69-72.Weng Shaoqun, Zhang Hong, Liu Hongyu. analysis of China's real estate listed company debt financing level[J]. China Real Estate, 2003(12):69-72. [24] 李春霞. 基于EVA的珠三角房地产上市公司融资效率研究[J]. 财经界, 2011(5):58-59.Li Chunxia. Based on the real estate listed companies in the pearl river delta EVA financing efficiency study[J]. Money China, 2011(5):58-59. [25] 方琴. 房地产上市公司债务融资的治理效应的实证研究[J]. 科学技术与工程, 2010, 10(7):1821-1826.Fang Qin. An Empirical Analysis on Debt Financing on Effect of Real Estate Listed Companies' Governance[J]. Science Technology and Engineering, 2010, 10(7):1821-1826. [26] Banker R D, Charnes A, Cooper W W. Some models for estimating technical and scale inefficiencies in DEA[J]. Management Science, 1984, 30(9):1078-1092. [27] 杨胜刚,何靖. 上市公司债务融资结构特征的实证检验[J]. 证券市场导报, 2007(4):5-13.Yang Shenggang, He Jing. Analysis of Debt Financing Structure Features of Chinese Listed Companies[J]. Securities Market Herald, 2007(4):5-13. [28] 马占新,唐焕文. 关于DEA有效性在数据变换下的不变性[J]. 系统工程学报, 1999, 14(2):129-134.Ma Zhanxin, Tang Huanwen. On the invariant properties of DEA method under the data transformation[J]. Journal of Systems Engineering, 1999, 14(2):129-134. [29] 刘圆圆,苏秦,陈婷. 基于DRF和DEA方法的中国主要软件园投入产出效率评价[J]. 科技管理研究, 2009(7):403-405.Liu Yuanyuan, Su Qin, Chen Ting. Evaluation on input-output efficiency of software parks in China based on DRF and DEA[J]. Science and Technology Management Research, 2009(7):403-405.