基于三阶段DEA方法的我国建筑业效率研究

发布时间：2018-01-14 13:18

本文关键词：基于三阶段DEA方法的我国建筑业效率研究　出处：《东北林业大学》2013年硕士论文　论文类型：学位论文

【摘要】：建筑业作为我国国民经济的支柱产业,全社会50%以上的固定资产投资需要通过建筑业才能转化为新的使用价值,所以建筑业的效率水平,很大程度上决定着我国经济发展的速度和质量。对建筑业效率的研究也就成了众多学者关注的焦点。目前,我国大多数学者在测度建筑业效率时主要采用的是数据包络分析方法(Data Envelopment Analysis,简记DEA),但是该方法没有考虑外部环境因素和随机误差对效率值的影响,测度到的效率值不能准确反映我国建筑业发展的真实水平。我国幅员辽阔,各地区建筑业发展面临的外部环境影迥异,所以对我国建筑业的效率进行分析研究,如果不考虑外部环境因素和随机误差的影响,得到的结果很难反映我国建筑业发展的客观实际情况。本文采用三阶段DEA方法对我国建筑业的效率进行研究,与传统DEA方法相比,三阶段DEA方法能够剔除外部环境因素和随机误差对决策单元效率值的影响,提高了各观测对象的同质性水平,使得测度到的效率值更加客观准确。由于三阶段DEA模型仍属静态评价范畴,无法对我国建筑业在2007-2011年间的效率变化做动态分析,也无法反映生产前沿面的移动,也就是技术进步的情况,故本文在静态评价之后,采用经三阶段DEA模型调整后的投入产出数据,运用Malmquist生产率指数模型对我国建筑业的效率进行动态分析,以期从静态分析和动态分析相结合的角度对我国建筑业的效率有个更加全面的把握。研究结果表明：第一,在剔除环境因素和随机误差的影响后,第一阶段和第三阶段的效率值存在明显差异,第三阶段的效率值与产出变量的相关性更强；第二,调整后我国建筑业技术效率偏低的主要原因是规模无效率,说明我国建筑业的规模偏小,产业集中度不高；第三,我国建筑业效率的增长主要源自于技术进步的驱动,技术效率改善的贡献度较小。最后,结合三阶段DEA方法的静态评价和Malmquist生产率指数的动态评价结果,从政府角度和企业角度提出提高我国建筑业效率的对策。
[Abstract]:Construction industry as the pillar industry of our national economy, the whole society more than 50% of fixed assets investment needs to be converted into new use value through the construction industry, so the efficiency level of the construction industry. To a large extent, it determines the speed and quality of our country's economic development. The research on the efficiency of construction industry has become the focus of attention of many scholars. Data envelopment analysis (DEAA) is the main method used by most Chinese scholars to measure the efficiency of construction industry. However, the effect of external environmental factors and random errors on the efficiency value is not considered, and the measured efficiency value can not accurately reflect the true level of the development of construction industry in China. China has a vast territory and the external environment of the development of the construction industry in different regions is very different. Therefore, the efficiency of the construction industry in our country is analyzed and studied, if the influence of external environmental factors and random errors is not taken into account. The results obtained are very difficult to reflect the objective reality of the development of Chinese construction industry. This paper uses three-stage DEA method to study the efficiency of Chinese construction industry, compared with the traditional DEA method. The three-stage DEA method can eliminate the influence of external environmental factors and random errors on the efficiency of Decision-making unit and improve the homogeneity level of each observation object. Because the three-stage DEA model is still in the category of static evaluation, it is impossible to make a dynamic analysis of the efficiency changes of China's construction industry during 2007-2011. It can not reflect the movement of the production front, that is, the situation of technological progress, so this paper, after static evaluation, adopts the input-output data adjusted by the three-stage DEA model. Malmquist productivity index model is used to analyze the efficiency of construction industry in China. From the angle of static analysis and dynamic analysis, we can have a more comprehensive understanding of the efficiency of Chinese construction industry. The results show that: first, after removing the influence of environmental factors and random errors, there are obvious differences between the efficiency values of the first stage and the third stage, and the correlation between the efficiency values of the third stage and the output variables is stronger; Second, the main reason for the low technical efficiency of Chinese construction industry after adjustment is the inefficient scale, which shows that the scale of construction industry in China is small and the degree of industrial concentration is not high; Third, the growth of construction efficiency in China is mainly driven by technological progress, and the contribution of technical efficiency improvement is relatively small. Finally, combined with the static evaluation of three-stage DEA method and the dynamic evaluation result of Malmquist productivity index, the countermeasures to improve the efficiency of construction industry in China are put forward from the angle of government and enterprise.
【学位授予单位】：东北林业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.92

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