Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 25 results ...
Abbasianjahromi, H and Aghakarimi, M (2023) Safety performance prediction and modification strategies for construction projects via machine learning techniques. Engineering, Construction and Architectural Management, 30(03), 1146-64.
Ashkanani, S and Franzoi, R (2023) Gaps in megaproject management system literature: a systematic overview. Engineering, Construction and Architectural Management, 30(03), 1300-18.
Chotibhongs, R and Arditi, D (2012) Analysis of collusive bidding behaviour. Construction Management and Economics, 30(03), 221-31.
Dabirian, S, Ahmadi, M and Abbaspour, S (2023) Analyzing the impact of financial policies on construction projects performance using system dynamics. Engineering, Construction and Architectural Management, 30(03), 1201-21.
Devaney, S and Roberts, D (2012) Who gets the jobs? Factors influencing the employability of property and construction graduates in the UK. Construction Management and Economics, 30(03), 233-46.
Devapriya, K A K and Ganesan, S (2002) Technology transfer subcontracting in developing countries through. Building Research & Information, 30(03), 171–82.
Duan, P and Zhou, J (2023) Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling. Engineering, Construction and Architectural Management, 30(03), 1037-60.
English, J (2002) Managing cultural differences to improve industrial efficiency. Building Research & Information, 30(03), 196–204.
Franz, B, Wang, T and Issa, R R (2023) Exploration of burnout in early-career construction management professionals in the USA. Engineering, Construction and Architectural Management, 30(03), 1061-79.
Jaradat, S and Beunders, N (2023) Participatory design in refugee camps: Ethnographic case studies from Greece. Engineering, Construction and Architectural Management, 30(03), 1080-97.
Jiang, L, Zhao, T, Feng, C and Zhang, W (2023) Improvement of random forest by multiple imputation applied to tower crane accident prediction with missing data. Engineering, Construction and Architectural Management, 30(03), 1222-42.
Joseph, V R and Mustaffa, N K (2023) Carbon emissions management in construction operations: a systematic review. Engineering, Construction and Architectural Management, 30(03), 1271-99.
Kumaraswamy, M M and Shrestha, G B (2002) Targeting 'technology exchange' for faster organizational and industry development. Building Research & Information, 30(03), 183–95.
Liu, X X, Liu, H H, Yang, G L and Pan, J F (2023) Productivity assessment of the real estate industry in China: a DEA-Malmquist index. Engineering, Construction and Architectural Management, 30(03), 1243-70.
- Type: Journal Article
- Keywords: Chinese real estate industry; data envelopment analysis; dea-malmquist index; regression analysis
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-07-2020-0561
- Abstract:
Purpose: The high-quality development of the real estate industry is crucial to the transformation of China’s economy. However, few studies apply the productivity to explore the development path of the real estate industry in China. To fill this gap, this study mainly investigates the total factor productivity (TFP) of the real estate industry of 30 sample provinces in mainland China from 2007 to 2016. Design/methodology/approach: The Malmquist index is applied to estimate the productivity (i.e. TFP) of the real estate industry, based on the data envelopment analysis (DEA). Then, the truncated tobit regression analysis explores the external influencing factors on the TFP of the real estate industry. Findings: Through empirical analysis, it is found that the high-quality development of the real estate industry depends on the technological innovation by the real estate enterprises and the targeted policies by the provincial government. Moreover, the development of the real estate industry has a positive correlation with the growth of China’s economy but a negative correlation with the development of other industries. Practical implications: TFP mainly reveals the development status of the provincial real estate industry and identifies the driving force for exploring the high-quality development mode of the real estate sector. Furthermore, the fluctuation rule of TFP can be applied to predict the development trend of the real estate industry in the future. Originality/value: As an application, this study measures the TFP of the Chinese real estate industry in different provinces and periods. The results have meaningful policy implications for policymakers regulating the real estate industry.
Lopes, J, Ruddock, L and Ribeiro, F L (2002) Investment in construction and economic growth in developing countries. Building Research & Information, 30(03), 152–9.
Murguia, D, Demian, P and Soetanto, R (2023) The role of the industry's cultural-cognitive elements on actors' intention to adopt BIM: an empirical study in Peru. Engineering, Construction and Architectural Management, 30(03), 1183-200.
Ngowi, A B, Iwisi, D S and Mushi, R J (2002) Competitive strategy of low financial in a context resources. Building Research & Information, 30(03), 205–11.
Polesie, P M A (2012) Reducing the use of resources in medium-sized Swedish construction enterprises: production managers' views. Construction Management and Economics, 30(03), 193-202.
Rashed, A and Mutis, I (2023) Trends of integrated project delivery implementations viewed from an emerging innovation framework. Engineering, Construction and Architectural Management, 30(03), 989-1014.
Rotimi, J O B, Ramanayaka, C D E, Olatunji, O A and Rotimi, F E (2023) Migrant construction workers' demography and job satisfaction: a New Zealand study. Engineering, Construction and Architectural Management, 30(03), 1122-45.
Schoenwitz, M, Naim, M and Potter, A (2012) The nature of choice in mass customized house building. Construction Management and Economics, 30(03), 203-19.
Shahi, S, Beesley, P and Haas, C T (2023) Creating space and time for innovation - a methodology for building adaptation design appraisal using physics-based simulation tools and interactive multi-objective optimization. Engineering, Construction and Architectural Management, 30(03), 1098-121.
Shang, T, Hu, X, Ye, K and Tam, V W Y (2023) Will contractors pursue unsustainable practices following environmental recovery? A highway case in China. Engineering, Construction and Architectural Management, 30(03), 1165-82.
Zawdie, G and Langford, D A (2002) Influence of construction-based infrastructure on the development process in Sub-Saharan Africa. Building Research & Information, 30(03), 160–70.
Zhao, G, Yu, X, Zhang, J, Li, W and Wu, P (2023) Neighborhood micro-renewal: a perspective of gene in China. Engineering, Construction and Architectural Management, 30(03), 1015-36.