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Abdel-Wahab, M and Vogl, B (2011) Trends of productivity growth in the construction industry across Europe, US and Japan. Construction Management and Economics, 29(06), 635–44.

Bajjou, M S and Chafi, A (2022) Exploring the critical waste factors affecting construction projects. Engineering, Construction and Architectural Management, 29(06), 2268-99.

Camilleri, M, Jaques, R and Isaacs, N (2001) Impacts of climate change on building performance in New Zealand. Building Research & Information, 29(06), 430–50.

Chi, C S F and Nicole Javernick‐Will, A (2011) Institutional effects on project arrangement: high‐speed rail projects in China and Taiwan. Construction Management and Economics, 29(06), 595–611.

Edwards, D J (2001) Predicting construction plant maintenance expenditure. Building Research & Information, 29(06), 417–27.

Ekanayake, E M A C, Shen, G, Kumaraswamy, M and Owusu, E K (2022) A fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kong. Engineering, Construction and Architectural Management, 29(06), 2358-81.

Gambatese, J A and Hallowell, M (2011) Enabling and measuring innovation in the construction industry. Construction Management and Economics, 29(06), 553–67.

Gidigah, B K, Agyekum, K and Baiden, B K (2022) Defining social value in the public procurement process for works. Engineering, Construction and Architectural Management, 29(06), 2245-67.

Gundes, S (2011) Input structure of the construction industry: a cross‐country analysis, 1968–90. Construction Management and Economics, 29(06), 613–21.

Hartono, B and Yap, C M (2011) Understanding risky bidding: a prospect‐contingent perspective. Construction Management and Economics, 29(06), 579–93.

Mohamed, E, Jafari, P and Hammad, A (2022) Mixed qualitative–quantitative approach for bidding decisions in construction. Engineering, Construction and Architectural Management, 29(06), 2328-57.

Murray, B and Smyth, H (2011) Franchising in the US remodelling market: growth opportunities and barriers faced by general contractors. Construction Management and Economics, 29(06), 623–34.

Musarat, M A, Alaloul, W S and Liew, M S (2022) Inflation rate and labours’ wages in construction projects: economic relation investigation. Engineering, Construction and Architectural Management, 29(06), 2461-94.

Navandar, Y V, Bari, C and Gaikwad, P G (2022) Failure factors–a comparative study of private and government construction firms. Engineering, Construction and Architectural Management, 29(06), 2495-513.

Rezakhani, P (2022) Project scheduling and performance prediction: a fuzzy-Bayesian network approach. Engineering, Construction and Architectural Management, 29(06), 2233-44.

Scheublin, F J M (2001) Project alliance contract in The Netherlands. Building Research & Information, 29(06), 451–5.

Shouman, B, Othman, A A E and Marzouk, M (2022) Enhancing users involvement in architectural design using mobile augmented reality. Engineering, Construction and Architectural Management, 29(06), 2514-34.

Taher, A, Vahdatikhaki, F and Hammad, A (2022) Formalizing knowledge representation in earthwork operations through development of domain ontology. Engineering, Construction and Architectural Management, 29(06), 2382-414.

van Manen, M, olde Scholtenhuis, L and Voordijk, H (2022) Empirically validating five propositions regarding 3D visualizations for subsurface utility projects. Engineering, Construction and Architectural Management, 29(06), 2535-53.

Wang, K, Ke, Y, Liu, T and Sankaran, S (2022) Social sustainability in Public–Private Partnership projects: case study of the Northern Beaches Hospital in Sydney. Engineering, Construction and Architectural Management, 29(06), 2437-60.

Wang, Z, Xie, W and Liu, J (2022) Regional differences and driving factors of construction and demolition waste generation in China. Engineering, Construction and Architectural Management, 29(06), 2300-27.

  • Type: Journal Article
  • Keywords: construction and demolition waste generation; environmental kuznets curve; regional difference; stirpat model
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/ECAM-10-2020-0887
  • Abstract:

    Purpose: The growth of the Chinese economy has resulted in a significant increase in construction and demolition waste (CDW), and regional differences in CDW generation are gradually increasing. The purpose of this study is to investigate the regional differences in CDW generation and the driving factors that influence CDW generation in different areas of China. To provide a systematic advisement for local governments to select the appropriate policy, reduce CDW generation. Design/methodology/approach: The generation of CDW was calculated by region, based on the area estimation method, from 2005 to 2018. The relationship between CDW generation and economic development, and the driving factors of CDW generation in different regions of China, was investigated using the environmental Kuznets curve (EKC) model and the STIRPAT theoretical model. Findings: CDW generation of China increased at the average annual growth rate of 10.86% from 2005 to 2018. The main areas of CDW generation were concentrated in the eastern and central regions, while the proportion of CDW generation in the northeast region decreased gradually, and the changes varied significantly across different regions. The EKC between CDW generation and economic development was established for the whole country, North China, Northeast China, East China, Central South China, Southwest China and Northwest China. Three main factors based on the STIRPAT theoretical model were identified and explained into a framework to reduce CDW generation. The results provided a useful theoretical basis and data support guide for devising effective policies and regulations for the Chinese context. Practical implications: The findings from this study can ultimately support policymakers and waste managers in formulating effective policies for waste management strategies and CDW-specific legislation. Additionally, it can help the coordinated reduction of CDW generation across regions in China and can support construction enterprises (in their development strategies), similar developing economies and foreign firms planning to operate in China. Originality/value: This study contributes to the field through the STIRPAT model on driving factors of CDW generation in the Chinese context, in different regions.

Westberg, K, Noren, J and Kus, H (2001) On using available environmental data in service life estimates. Building Research & Information, 29(06), 428–39.

Yap, J B H, Skitmore, M, Lim, Y W, Loo, S C and Gray, J (2022) Assessing the expected current and future competencies of quantity surveyors in the Malaysian built environment. Engineering, Construction and Architectural Management, 29(06), 2415-36.

Zhang, H, Xing, F and Liu, J (2011) Rehabilitation decision-making for buildings in the Wenchuan area. Construction Management and Economics, 29(06), 569–78.