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Zhao, Q. and Jiang, H. (2014) Efficiency Evaluation and Influencing Factors of Cultural Industry Listed Companies—Based on the Framework of DEA Model. Economic Issues, 9, 52-58 + 71.

has been cited by the following article:

  • TITLE: Empirical Analysis on Efficiency of Listed Real Estate Companies in China by DEA

    AUTHORS: Qiting Chen, Fengdan Li

    KEYWORDS: DEA, Efficiency Evaluation, Real Estate Industry, Tobit Regression Model

    JOURNAL NAME: iBusiness, Vol.9 No.3, August 30, 2017

    ABSTRACT: The real estate industry plays an important role in the economic development in China. The purposes of this paper are to measure the operating efficiency of the real estate industry and also compare the different influencing factors on the efficiency. 30 companies listed in Shenzhen and Shanghai markets are selected as the sample companies of operating efficiency study. The data is collected from 2009 until 2015. C2R and B2C models of the data envelopment analysis (DEA) are used to derive findings. The present study applied Tobit regression model to study different factors’ influence on the efficiency. We concluded that efficiency was not high among most companies and the efficiency gap was quite wide. The results of the Tobit regression model showed that the efficiency was positively correlated with the net interest rate and education level, not so correlated with proportion of the first major shareholders and negatively with asset-liability ratio. Based on the conclusions, the paper put forward some specific suggestions.