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Aghimien, D O, Aghimien, E I, Fadiyimu, A O and Adegbembo, T F (2018) Survival strategies of built environment organisations in a challenging economy. Engineering, Construction and Architectural Management, 25(07), 861–76.

Aghimien, D O, Oke, A E and Aigbavboa, C O (2018) Barriers to the adoption of value management in developing countries. Engineering, Construction and Architectural Management, 25(07), 818–34.

Bao, F, Chen, C, Chan, A P, Martek, I and Shrestha, A (2019) Dynamic framework transfer model for public–private partnerships. Engineering, Construction and Architectural Management, 26(07), 1218–39.

Chen, C, Tang, L, Hancock, C M and Zhang, P (2019) Development of low-cost mobile laser scanning for 3D construction indoor mapping by using inertial measurement unit, ultra-wide band and 2D laser scanner. Engineering, Construction and Architectural Management, 26(07), 1367–86.

Chen, K and Lu, W (2019) Bridging BIM and building (BBB) for information management in construction. Engineering, Construction and Architectural Management, 26(07), 1518–32.

Chia, F C, Skitmore, M, Gray, J and Bridge, A (2018) International comparisons of nominal and real construction labour productivity. Engineering, Construction and Architectural Management, 25(07), 896–915.

Cui, Z, Liu, J, Xia, B and Cheng, Y (2019) Beyond national culture difference. Engineering, Construction and Architectural Management, 26(07), 1476–97.

Dang, C N and Le-Hoai, L (2018) Revisiting storey enclosure method for early estimation of structural building construction cost. Engineering, Construction and Architectural Management, 25(07), 877–95.

Goel, A, Ganesh, L and Kaur, A (2020) Social sustainability considerations in construction project feasibility study: a stakeholder salience perspective. Engineering, Construction and Architectural Management, 27(07), 1429–59.

Hasan, A, Baroudi, B, Elmualim, A and Rameezdeen, R (2018) Factors affecting construction productivity: a 30 year systematic review. Engineering, Construction and Architectural Management, 25(07), 916–37.

Karami, H and Olatunji, O A (2020) Critical overrun causations in marine projects. Engineering, Construction and Architectural Management, 27(07), 1579–94.

Khattak, M S and Mustafa, U (2019) Management competencies, complexities and performance in engineering infrastructure projects of Pakistan. Engineering, Construction and Architectural Management, 26(07), 1321–47.

Leung, M, Famakin, I O and Wang, C (2019) Developing an integrated indoor built environment–quality of life model for the elderly in public and subsidized housing. Engineering, Construction and Architectural Management, 26(07), 1498–517.

Lew, Y, Hassim, S, Muniandy, R and Hua, L T (2018) Structural equation modelling for subcontracting practice: Malaysia chapter. Engineering, Construction and Architectural Management, 25(07), 835–60.

Li, G, Chen, C, Zhang, G and Martek, I (2019) Bid/no-bid decision factors for Chinese international contractors in international construction projects. Engineering, Construction and Architectural Management, 27(07), 1619–43.

Liu, N, Ruan, L, Jin, R, Chen, Y, Deng, X and Yang, T (2019) Investigation of individual perceptions towards BIM implementation-a Chongqing case study. Engineering, Construction and Architectural Management, 26(07), 1455–75.

Moussavi Nadoushani, Z S, Akbarnezhad, A and Rey, D (2018) Optimization of concrete placing operation based on competing carbon footprint, cost and production rate objectives. Engineering, Construction and Architectural Management, 25(07), 938–57.

Nasirzadeh, F, Carmichael, D G, Jarban, M J and Rostamnezhad, M (2019) Hybrid fuzzy-system dynamics approach for quantification of the impacts of construction claims. Engineering, Construction and Architectural Management, 26(07), 1261–76.

Oechler, E, Molenaar, K R, Hallowell, M and Scott, S (2018) State-of-practice for risk-based quality assurance in state departments of transportation. Engineering, Construction and Architectural Management, 25(07), 958–70.

Olatunji, O A (2019) Promoting student commitment to BIM in construction education. Engineering, Construction and Architectural Management, 26(07), 1240–60.

Pablo, Z and London, K A (2020) Stable relationality and dynamic innovation: two models of collaboration in SME-driven offsite manufacturing supply chains in housing construction. Engineering, Construction and Architectural Management, 27(07), 1553–77.

Rostamnezhad, M, Nasirzadeh, F, Khanzadi, M, Jarban, M J and Ghayoumian, M (2020) Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project. Engineering, Construction and Architectural Management, 27(07), 1595–618.

Salama, T and Moselhi, O (2019) Multi-objective optimization for repetitive scheduling under uncertainty. Engineering, Construction and Architectural Management, 26(07), 1294–320.

Sun, H, Wang, Y and Meng, J (2019) A trading and pricing method of expansion options for BOT freeway projects in China. Engineering, Construction and Architectural Management, 26(07), 1406–23.

Tayeh, B A, Hallaq, K A, Zahoor, H and Al Faqawi, A H (2019) Techniques and benefits of implementing the last planner system in the Gaza Strip construction industry. Engineering, Construction and Architectural Management, 26(07), 1424–36.

Uusitalo, P, Seppänen, O, Peltokorpi, A and Olivieri, H (2019) Solving design management problems using lean design management: the role of trust. Engineering, Construction and Architectural Management, 26(07), 1387–405.

Wang, G, Xia, C and Cao, D (2020) State and determinants of inter-regional market entry practices in the Chinese construction industry: evidence from national quality award projects. Engineering, Construction and Architectural Management, 27(07), 1461–77.

Wang, Y and Jin, X (2019) Determine the optimal capital structure of BOT projects using interval numbers with Tianjin Binhai New District Metro Z4 line in China as an example. Engineering, Construction and Architectural Management, 26(07), 1348–66.

Xue, J, Shen, G Q, Yang, R J, Zafar, I, Ekanayake, E, Lin, X and Darko, A (2020) Influence of formal and informal stakeholder relationship on megaproject performance: a case of China. Engineering, Construction and Architectural Management, 27(07), 1505–31.

Yap, J B H, Leong, W J and Skitmore, M (2020) Capitalising teamwork for enhancing project delivery and management in construction: empirical study in Malaysia. Engineering, Construction and Architectural Management, 27(07), 1479–503.

Yu, J, Ma, G and Cai, S (2019) Disparities in the provision of aging-friendly communities in old and new urban neighborhoods in China. Engineering, Construction and Architectural Management, 26(07), 1277–93.

Yuan, F, Tang, M and Hong, J (2020) Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering, Construction and Architectural Management, 27(07), 1533–52.

• Type: Journal Article
• Keywords: Construction industry; Overall technical efficiency; Reduction potential; Super-efficiency data envelopment analysis (SE-DEA); Artificial neural network (ANN);
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-10-2019-0564
• Abstract:
  The objective of this study is to evaluate the overall technical efficiency, labor efficiency, capital efficiency and equipment efficiency of 30 Chinese construction sectors to foster sustainable economic growth in the construction industry. This study employed the super-efficiency data envelopment analysis (SE-DEA) and artificial neural network model (ANN) to evaluate the industrial performance and improvement potential of the Chinese regional construction sectors from 2000 to 2017. Results showed that the overall technical and capital efficiencies displayed relatively stable patterns. Equipment efficiency presented a relatively huge fluctuation during the sample period. Meanwhile, labor, capital and equipment efficiencies could potentially improve in the next five years. A spatial examination of efficiencies implied that the economic level was still a major factor in determining the efficiency performance of the regional construction industry. Beijing, Shanghai and Zhejiang were consistently the leading regions with the best performance in all efficiencies. Shandong and Hubei were critical regions with respect to their large reduction potential of labor, capital and equipment. The study focused on the regional efficiency performance of the construction industry; however, it failed to further deeply discover the mechanism that captured the regional inefficiency. In addition, sample datasets used to predict might induce the accuracy of prediction results. Qualitative policy implications failed to regress the efficiency performance of the industrial policy variables. These limitations will be discussed in our further researches. Enhancing the overall performance of the Chinese construction industry should focus on regions located in the western areas. In comparison with labor and capital efficiencies, equipment efficiency should be given priority by eliminating outdated equipment and developing high technology in the construction industry. In addition, the setting of the national reduction responsibility system should be stratified to account for regional variations. The findings of this study can provide a systematic understanding for the current and future industry performance of the Chinese construction industry, which would help decision makers to customize appropriate strategies to improve the overall industrial performance with the consideration of regional differences.

Zhang, J, Xie, H and Li, H (2019) Improvement of students problem-solving skills through project execution planning in civil engineering and construction management education. Engineering, Construction and Architectural Management, 26(07), 1437–54.