A total factor productivity measure for the construction industry and analysis of its spatial difference: a case study in China

被引:43
|
作者
Wang, Xueqing [1 ]
Chen, Yuan [1 ]
Liu, Bingsheng [1 ]
Shen, Yinghua [2 ]
Sun, Hui [1 ]
机构
[1] Tianjin Univ, Sch Management & Econ, Tianjin 300072, Peoples R China
[2] Hohai Univ, Sch Business, Nanjing 211100, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Coefficient of variation; DEA-Malmquist index; spatial clustering analysis; total factor productivity;
D O I
10.1080/01446193.2013.826371
中图分类号
F [经济];
学科分类号
02 ;
摘要
In the context of unbalanced regional economic development in China, there are large regional differences in the development of the construction industry. These long-standing and increasing differences not only influence the total productivity of China's construction industry but also hinder effective resource distribution. Total factor productivity (TFP) is a measure of long-term economic growth and a comprehensive industry-level productivity measure. The objectives are to put forward a set of systematic methodologies for selecting a productivity index, to develop a TFP measure for the construction industry and to conduct an analysis of spatial differences. First, the input and output index system of the construction industry is established, and China's construction industry TFP is measured with the DEA-Malmquist index. Second, spatial differences in the construction industry TFP are analysed in terms of the coefficient of variation (CV) and using spatial clustering analysis. The results indicate that China's construction industry TFP has improved steadily. This improvement has been due mainly to improvements in pure technology efficiency, technological progress and scale efficiency. In the past five years, the CV of China's construction industry productivity has generally been small and has changed only slightly. China's construction industry TFP for all regions exhibits a ladder-like distribution that is different from the distribution by economic areas among the central, western and eastern regions.
引用
收藏
页码:1059 / 1071
页数:13
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