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Measuring the Productivity of the Construction Industry in China by Using DEA-Based Malmquist Productivity Indices |
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| Authors: | Xiaolong Xue Qiping Shen Yaowu Wang Jinfeng Lu |
| Affiliation: | 1Dept. of Construction and Real Estate, School of Management, Harbin Institute of Technology, P.O. Box 1251, 13 Fayuan St., Harbin, China (corresponding author). E-mail: xlxue@hit.edu.cn 2Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong, China. E-mail: bsqpshen@polyu.edu.hk 3Professor, Dept. of Construction and Real Estate, School of Management, Harbin Institute of Technology, P.O. Box 1205, 13 Fayun St., Harbin, China. E-mail: ywwang@hit.edu.cn 4Associate Professor, Dept. of Construction and Real Estate, School of Management, Harbin Institute of Technology, P.O. Box 1251, 13 Fayuan St., Harbin, China. E-mail: lujf@hit.edu.cn |
| Abstract: | Data envelopment analysis (DEA) measures the relative efficiency of decision-making units and avoids any functional specification to express production relationship between inputs and outputs. DEA-based Malmquist productivity index (MPI) measures the productivity change over time. In this paper, the MPI is used to measure the productivity changes of Chinese construction industry from 1997 to 2003. The results of analyses indicate that productivity of the Chinese construction industry experienced a continuous improvement from 1997 to 2003 except for a decline from 2001 to 2002. It is found that there are gaps in productivity development level among western, midland, eastern, and northeastern regions in the Chinese construction industry. The DEA-based MPI approach provides a good tool to support setting up policies and strategic decisions for improving the performance of the Chinese construction industry and promoting the sustainable development of the industry between different regions. |
| Keywords: | Productivity Construction industry China Data analysis Measurement |