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Abdirad, H and Dossick, C S (2019) Normative and descriptive models for COBie implementation: discrepancies and limitations. Engineering, Construction and Architectural Management, 26(08), 1820–36.

Almarri, K, Alzahrani, S and Boussabaine, H (2019) An evaluation of the impact of risk cost on risk allocation in public private partnership projects. Engineering, Construction and Architectural Management, 26(08), 1696–711.

Anson, M, Ying, K T and Siu, M F (2019) Analytical models towards explaining the difficulty in efficiently matching site concrete supply resources with placing crew needs. Engineering, Construction and Architectural Management, 26(08), 1672–95.

Antwi-Afari, M F, Li, H, Wong, J K, Oladinrin, O T, Ge, J X, Seo, J and Wong, A Y L (2019) Sensing and warning-based technology applications to improve occupational health and safety in the construction industry. Engineering, Construction and Architectural Management, 26(08), 1534–52.

Au-Yong, C P, Chua, S J L, Ali, A S and Tucker, M (2019) Optimising maintenance cost by prioritising maintenance of facilities services in residential buildings. Engineering, Construction and Architectural Management, 26(08), 1593–607.

Charkhakan, M H and Heravi, G (2019) Evaluating the preventability of conflicts arising from change occurrence in construction projects. Engineering, Construction and Architectural Management, 26(08), 1777–800.

Gao, J, Ren, H, Ma, X, Cai, W and Shi, Q (2019) A total energy efficiency evaluation framework based on embodied energy for the construction industry and the spatio-temporal evolution analysis. Engineering, Construction and Architectural Management, 26(08), 1652–71.

  • Type: Journal Article
  • Keywords: Construction; Estimating; Novel method;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-07-2018-0284
  • Abstract:
    As a typical resource energy-intensive industry, the scale of construction industry has been expanding rapidly owing to the large-scale urbanization and the economic booming in China, which results in a sharp increase in the energy consumption of construction industry. However, it is infeasible to mitigate the energy consumption by reducing the production activities of construction industry. Therefore, improving the energy efficiency of construction industry is essential for energy saving. Construction industry has close relationships with other industries. The production activities have not only consumed a great deal of energy but they have also generated a massive energy consumption from other industries. Previous literature studied the efficiency of energy consumed directly by the construction industry. However, no research has been found focusing on the efficiency of energy consumed directly by the construction industry and indirectly by the related industries. The purpose of this paper is to put forward a total energy efficiency evaluation framework to measure the energy efficiency of construction industry in depth. Design/methodology/approach This paper employs the data envelopment analysis (DEA) method and the framework of embodied energy efficiency (EEE) to establish a total energy efficiency evaluation model. Next, the comprehensive analysis of direct energy efficiency (DEE) and EEE in different provinces with various levels of urbanization and various economic levels is conducted. Findings The results show that the embodied energy intensity and its regularities differ greatly between provinces. From the comparison of DEE and EEE, the provinces of Zhejiang and Jiangsu remain DEA-effective and Hainan is the only province in which the EEE is higher than DEE in 2002, 2007 and 2012. Besides, the DEE and EEE in the provinces with higher levels of urbanization and high economic levels are not more effective than those in the provinces with relatively lower levels of urbanization and low economic levels. Originality/value Previous literature studied the efficiency of energy consumed directly by the construction industry while ignoring the energy consumed indirectly by the related industries. Besides, no research has been found focusing on the regulation of energy efficiency in different provinces with different levels of urbanization and different economic levels. It can be concluded that the increasing levels of urbanization and higher economic levels have not brought development and benefits for improving DEE and EEE. Therefore, under the condition that the self-regulation of construction industry and market fail to facilitate the improvement of DEE and EEE in China, policymakers should develop policies and market incentive mechanism to encourage construction industry for employing new technologies to improve the energy efficiency. Since the EEE can reveal the energy efficiency in depth, the evaluation method of EEE should be paid more attention. Besides the fact that the EEE is lower than the DEE in almost all provinces, except Hainan province, the industrial structure is essential to develop the EEE. Hence, improving the energy structure, increasing the energy efficiency and developing new and renewable energy are the basic energy strategies in China.

He, Q, Wang, T, Chan, A P, Li, H and Chen, Y (2019) Identifying the gaps in project success research. Engineering, Construction and Architectural Management, 26(08), 1553–73.

Hilali, A, Charoenngam, C and Barman, A (2019) Barriers in contractual scope management of international development projects in Afghanistan. Engineering, Construction and Architectural Management, 26(08), 1574–92.

Hopkin, T, Lu, S, Sexton, M and Rogers, P (2019) Learning from defects in the UK housing sector using action research. Engineering, Construction and Architectural Management, 26(08), 1608–24.

Jin, R, Zou, Y, Gidado, K, Ashton, P and Painting, N (2019) Scientometric analysis of BIM-based research in construction engineering and management. Engineering, Construction and Architectural Management, 26(08), 1750–76.

Liang, R and Chong, H (2019) A hybrid group decision model for green supplier selection: a case study of megaprojects. Engineering, Construction and Architectural Management, 26(08), 1712–34.

Murillo, K P, Rocha, E and Rodrigues, M F (2019) Construction sectors efficiency analysis on seven European countries. Engineering, Construction and Architectural Management, 26(08), 1801–19.

Park, E, Kwon, S J and Han, J (2019) Antecedents of the adoption of building information modeling technology in Korea. Engineering, Construction and Architectural Management, 26(08), 1735–49.

Rajagopalan, G (2019) Durability of alumina silicate concrete based on slag/fly ash blends against corrosion. Engineering, Construction and Architectural Management, 26(08), 1641–51.

Silverio-Fernandez, M A, Renukappa, S and Suresh, S (2019) Evaluating critical success factors for implementing smart devices in the construction industry. Engineering, Construction and Architectural Management, 26(08), 1625–40.