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中国区域建筑产业TFP变化趋势与影响因素分析
引用本文:刘炳胜,陈晓红,王雪青,陈媛. 中国区域建筑产业TFP变化趋势与影响因素分析[J]. 系统工程理论与实践, 2013, 33(4): 1041-1049. DOI: 10.12011/1000-6788(2013)4-1041
作者姓名:刘炳胜  陈晓红  王雪青  陈媛
作者单位:1. 中南大学 商学院, 长沙 410083;2. 天津大学 管理与经济学部, 天津 300072
基金项目:国家自然科学基金青年基金,国家自然科学基金创新群体基金,国家自然科学基金面上项目
摘    要:采用增加值筛选指标的方法对建筑产业投入、产出指标进行筛选; 在此基础上, 运用超效率DEA方法完成中国31个省份2006-2009年建筑产业生产效率Malmquist指数变化趋势分析; 最后, 通过方差分析法识别出影响当前中国建筑产业生产效率变动的关键因素. 三种方法的有效结合, 实现了生产效率的指标选取、模型度量以及影响因素识别三位一体的客观研究, 为研究产业生产效率变动的原因提供了更为科学的方法体系. 研究发现, 目前中国建筑产业全要素生产效率稳步提升的主要原因是科技进步, 而规模效率的改善只是短期行为, 并没有成为主要原因, 而且纯技术效率的提升将成为亟待解决的关键问题; "科技投入"、"建筑业人力资本"和"经济水平"三个指标对中国区域建筑产业生产效率提升影响效果明显.

关 键 词:建筑产业  全要素生产效率  影响因素  
收稿时间:2010-11-18

Analysis on the changing trend and influencing factors of TFP about the regional construction industry in China
LIU Bing-sheng , CHEN Xiao-hong , WANG Xue-qing , CHEN Yuan. Analysis on the changing trend and influencing factors of TFP about the regional construction industry in China[J]. Systems Engineering —Theory & Practice, 2013, 33(4): 1041-1049. DOI: 10.12011/1000-6788(2013)4-1041
Authors:LIU Bing-sheng    CHEN Xiao-hong    WANG Xue-qing    CHEN Yuan
Affiliation:1. Business School, Central South University, Changsha 410083, China;2. Faculty of Management and Economics, Tianjin University, Tianjin 300072, China
Abstract:It screens the input and output indicators of the total factor productivity of Chinese regional construction industry with the method of added value. On this basis, it uses the super-efficiency DEA method to analyze the Malmquist productivity index of construction industry in 31 Chinese provinces from 2006 to 2009. Finally, it identifies the key factors affecting the productivity of China's construction industry, with the method of analysis of variance. With the effective combination of the above three methods, we successfully achieve the objective study in three aspects, that is, the measurement model for productivity, the selection of indicators and the identification of factors, so as to shape a more scientific structure for studying the change of productivity. It finds that the main reason for the steady increase in total factor productivity is technological progress and the improvement in the scale efficiency is just a kind of short-term behavior which is not the key issue. And one key issue to be solved is the improvement of pure technology efficiency. Three indicators, "science and technology investment", "human capital of construction industry", "economy level", exert a great influence on the improvement of the productivity of Chinese regional construction industry.
Keywords:construction industry  TFP  influencing factors
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