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Afzal, F, Yunfei, S, Sajid, M and Afzal, F (2019) Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects. Engineering, Construction and Architectural Management, 27(04), 825–49.

Bonanomi, M M, Hall, D M, Staub-French, S, Tucker, A and Talamo, C M L (2019) The impact of digital transformation on formal and informal organizational structures of large architecture and engineering firms. Engineering, Construction and Architectural Management, 27(04), 872–92.

Feghaly, J, El Asmar, M, Ariaratnam, S and Bearup, W (2019) Selecting project delivery methods for water treatment plants. Engineering, Construction and Architectural Management, 27(04), 936–51.

Kannimuthu, M, Raphael, B, Ekambaram, P and Kuppuswamy, A (2019) Comparing optimization modeling approaches for the multi-mode resource-constrained multi-project scheduling problem. Engineering, Construction and Architectural Management, 27(04), 893–916.

Luo, M, Fan, H and Liu, G (2019) Measuring regional differences of construction productive efficiency in China. Engineering, Construction and Architectural Management, 27(04), 952–74.

  • Type: Journal Article
  • Keywords: Optimization; Construction; Productivity; Strategic management; Novel model;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-04-2019-0195
  • Abstract:
    As one of the pillar sectors, China’s construction industry (CE) is not efficient in productivity with large regional gaps over the past decades. It is crucial for stakeholders to have insightful information on regional input of resources and output of productive efficiency for making policies and investment decisions. The purpose of this paper is to develop an efficiency measurement for the CE and explore the regional differences of construction productive efficiency across the three regions of China. Design/methodology/approach Data envelopment analysis (DEA) is an objective benchmarking methodology used for measuring the performance of construction productivity. Distance friction minimization (DFM) approach, based on DEA model, is applied to identify the causes of inefficiency, sources of growth and the optimal paths to efficient frontier for regional CE. Further studies are conducted to provide insightful information for efficiency improvement, according to DFM modeling results and empirical analysis. Findings The results indicate that eastern region leads construction development due to strong performance of coastal provinces. Faced with decreasing supply of skilled workers in developed region, investing more on construction plants and equipment for labor savings is more efficient to the long-term productivity growth of CE in the east. For developing midland region, heavy reliance on cheap manpower should be gradually relieved by allocating more budgets to vocational training and education program to boost quality labor supply, as well as making steady investment on construction equipment and advanced technology. In underdeveloped western region, raising construction labor wages is recommended to attract more workers to meet the market demand and achieve an optimal production efficiency in the CE. Originality/value The findings provide insights into the causes of inefficiency, the sources of growth and the best strategies for efficiency improvement in regional CE, recommendations are made for policy making and strategic planning to enhance the overall performance of China’s construction productive efficiency.

Ma, H, Liu, Z, Zeng, S, Lin, H and Tam, V W (2019) Does megaproject social responsibility improve the sustainability of the construction industry?. Engineering, Construction and Architectural Management, 27(04), 975–96.

Viles, E, Rudeli, N C and Santilli, A (2019) Causes of delay in construction projects: a quantitative analysis. Engineering, Construction and Architectural Management, 27(04), 917–35.

Wang, S, Tang, J, Zou, Y and Zhou, Q (2019) Research on production process optimization of precast concrete component factory based on value stream mapping. Engineering, Construction and Architectural Management, 27(04), 850–71.