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我国房地产业效率测度及分析 被引量:4

Measurement and Analysis of Efficiency in Real Estate Industry in China
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摘要 房地产业效率问题是中国房地产业发展的核心问题。本文基于30个省市房地产业2006—2014年的投入产出面板数据,采用CCR模型、BCC模型、超效率DEA模型和Malmquist指数分解模型,分别从静态和动态视角对中国房地产业效率进行分析。实证结果显示:从静态视角来看,我国房地产行业效率水平总体较高且呈上升趋势,规模效率与房地产业效率密切相关且规模收益递增趋势明显,2006—2014年超效率均值大于1的省份仅有上海、宁夏、内蒙古和海南;从动态视角来看,中国房地产行业动态效率年均增长率为0.5%,其增长动力主要来自于技术效率而不是技术进步率。最后,文章针对低效率省份结合其投入产出与效率影响因素,提出相应建议以提升其效率。 The real estate industry efficiency issue is very important for the study of development of real estate in China. This paper provides an analysis of efficiency for real estate industry from both static and dynamic perspectives with the input-output panel. Data of 30 provinces from 2006 to 2014 are provided by making use of CCR model, BCC model, super efficiency( SDEA) model and Malmquist Index decomposition model. Empirical results show that from the static perspective, the overall efficiency is high and escalating. The scale efficiency is related to real estate industry and the trend of scale increasing becomes more obvious. There are only four provinces, Shanghai, Ningxia, Neimenggu and Hainan, whose average super efficiency is greater than 1 from 2006 to 2014. From the dynamic perspective, the dynamic efficiency of real-estate industry in China has been growing by an annual average of 5.4% , but the growth impetus came mainly from its technical efficiency rather than technology change index. Based on different influence factors of comprehensive efficiency and its input-output indicators about the low efficiency provinces, this paper makes proposals to promote the efficiency.
出处 《西华大学学报(哲学社会科学版)》 2017年第1期44-54,共11页 Journal of Xihua University(Philosophy & Social Sciences)
基金 教育部人文社科重点研究基地中国海洋大学海洋发展研究院基金项目(2016JDZS02)资助
关键词 房地产业 DEA 超效率 DEA-MALMQUIST方法 real estate industry Data Envelopment Analysis super efficiency DEA-Malmquist Model
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