摘要
目前从建筑产业链角度对建筑产业效率问题的研究并不多。据此,本研究通过梳理相关文献,识别出建筑产业链的两个关键环节:工程咨询阶段和工程施工阶段;根据筛选的建筑产业链投入、产出指标,利用链式关联网络DEA模型测算2014～2015年中国各省份建筑产业链两阶段的综合效率、纯技术效率与规模效率;利用Tobit模型确定影响三种效率的关键因素,以此实现对建筑产业链两阶段生产资源的优化与整合,更期待为客观度量产业链两阶段生产效率的研究提供新思路与方法。研究发现,综合效率普遍偏低且各省份之间差距较大,其主要原因是纯技术效率偏低且省份之间差异大;三种效率的主要影响因素及其作用程度不尽相同。在此基础上提出相应的对策建议以促进中国建筑业生产效率的提高。
At present,there are not many studies relating to the efficiency of Chinese construction industry from the perspective of the construction industry chain. Therefore,based on the relevant literature,we identify two key stages of construction industry chain: consulting and construction stage. According to the screening of the input and output indicators,comprehensive efficiency,pure technical efficiency and scale efficiency of two stages of each province in China,from 2014 to 2015,are estimated by chain relational network DEA model;critical factors affecting the efficiency of the two stages are ascertained by the Tobit model,in order to realize the optimization and integration of the production efficiency and provide new ideas and methods for the research on the industrial chain productivity. We find that the comprehensive efficiency is generally very low,and the disparities among different provinces are great,and the main reasons are low pure technical efficiency and great disparities of pure technical efficiency among different provinces;the main factors affecting the three kinds of efficiency in construction industry and their influencing degrees are various. Hereby,this article provides some policy suggestions for the future development of the construction industry to improve its production efficiency.
作者
刘炳胜
王敏
李灵
王然
孟俊娜
LIU Bing-sheng;WANG Min;LI Ling;WANG Ran;MENG Jun-na(College of Management and Economics,Tianjin University,Tianjin,300072,China)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2019年第2期174-183,共10页
Operations Research and Management Science
基金
国家自然科学基金优秀青年基金(71722004)
国家自然科学基金面上项目(71572123)
关键词
建筑产业链
综合效率
纯技术效率
规模效率
影响因素
construction industry chain
comprehensive efficiency
pure technical efficiency
scale efficiency
influencing factors
