Measuring the Productivity of the Construction Industry in China by Using DEA-Based Malmquist Productivity Indices

Xiaolong Xue · Qiping Shen · Yaowu Wang · Jinfeng Lu

147 citations0/0 files storedJournal of Construction Engineering and Management

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Efficiency Analysis Using DEA Construction Project Management and Performance Regional Economic and Spatial Analysis

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.

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References

1978Measuring the efficiency of decision making units 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis 1957The Measurement of Productive Efficiency 1982The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity 1953Index numbers and indifference surfaces 1992Productivity changes in Swedish pharamacies 1980?1989: A non-parametric Malmquist approach 1994Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach 1992Productivity Changes in Swedish Pharamacies 1980–1989: A Non-Parametric Malmquist Approach

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