论文部分内容阅读
分别构建基于BC、CSSW、KSS和BCE四种模型的我国房地产行业技术效率测算模型,并从技术非效率项的函数形式的角度,分析出KSS测算模型能够避免固定函数形式造成的技术效率估计偏差。运用我国31个省区2000-2010年的面板数据,实证研究我国房地产行业技术效率变动趋势,并进一步分析了房地产行业技术效率估计的内生性。研究表明:(1)KSS模型在内生性及技术非效率项处理上具有较好的完备性,是目前测算我国房地产行业技术效率较好的模型,蒙特卡洛仿真和实证研究结果也支持了这一结论;(2)资本投入是我国房地产开发企业快速增长进程中的核心要素,起着不可替代的作用;(3)我国房地产行业技术效率仍处于较为低下的水平,我国房地产行业技术效率的变动趋势呈现两个阶段,从2000年到2009年呈现整体上升的趋势,而从2009年到2010年呈现短暂的下降趋势。这说明以投资拉动增长的房地产发展模式在我国已遇到瓶颈。
The model of technical efficiency of China’s real estate industry based on four models of BC, CSSW, KSS and BCE is constructed respectively. From the point of view of the function form of technical inefficiency, the KSS model can be used to avoid the estimation error of technical efficiency caused by the fixed function . Using the panel data from 2000 to 2010 in 31 provinces and autonomous regions of our country, this paper empirically studies the change trend of technical efficiency of real estate industry in our country and further analyzes the endogeneity of technical efficiency estimation of real estate industry. The results show that: (1) The KSS model has a good completeness in the treatment of endogenous and inefficient items, which is the model that measures the technical efficiency of the real estate industry in China at present. The results of Monte Carlo simulation and empirical research also support this A conclusion; (2) Capital investment is the core factor in the rapid growth of real estate development enterprises in our country, plays an irreplaceable role; (3) the technical efficiency of China’s real estate industry is still at a relatively low level, the technical efficiency of China’s real estate industry changes The trend presents two stages, showing an overall upward trend from 2000 to 2009, but a transient downward trend from 2009 to 2010. This shows that investment-driven growth of real estate development model in China has encountered a bottleneck.