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Ökmen, & and Öztaş, A (2008) Construction Project Network Evaluation with Correlated Schedule Risk Analysis Model. Journal of Construction Engineering and Management, 134(01), 49–63.

Cui, Q, Johnson, P, Quick, A and Hastak, M (2008) Valuing the Warranty Ceiling Clause on New Mexico Highway 44 Using a Binomial Lattice Model. Journal of Construction Engineering and Management, 134(01), 10–17.

Hassan, M M and Gruber, S (2008) Simulation of Concrete Paving Operations on Interstate-74. Journal of Construction Engineering and Management, 134(01), 2–9.

Khalafallah, A and El-Rayes, K (2008) Minimizing Construction-Related Security Risks during Airport Expansion Projects. Journal of Construction Engineering and Management, 134(01), 40–48.

Liou, F and Huang, C (2008) Automated Approach to Negotiations of BOT Contracts with the Consideration of Project Risk. Journal of Construction Engineering and Management, 134(01), 18–24.

Lu, M and Lam, H (2008) Critical Path Scheduling under Resource Calendar Constraints. Journal of Construction Engineering and Management, 134(01), 25–31.

Seo, J W and Choi, H H (2008) Risk-Based Safety Impact Assessment Methodology for Underground Construction Projects in Korea. Journal of Construction Engineering and Management, 134(01), 72–81.

Stoy, C, Pollalis, S and Schalcher, H (2008) Drivers for Cost Estimating in Early Design: Case Study of Residential Construction. Journal of Construction Engineering and Management, 134(01), 32–39.

Xue, X, Shen, Q, Wang, Y and Lu, J (2008) Measuring the Productivity of the Construction Industry in China by Using DEA-Based Malmquist Productivity Indices. Journal of Construction Engineering and Management, 134(01), 64–71.

  • Type: Journal Article
  • Keywords: Productivity; Construction industry; China; Data analysis; Measurement;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:1(64)
  • 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.