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      Investigating the determinants of contractor’s construction and demolition waste management behavior in Mainland China

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      Waste Management
      Elsevier BV

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          Abstract

          The abundant generation of construction and demolition (C&D) waste presents a significant challenge to the sustainable development of the construction industry in Mainland China. As the implementer of construction activities, the contractor's C&D waste management performance plays an important role in C&D waste minimization. This paper aims to investigate the determinants of the contractor's C&D waste management behavior in Mainland China. The Theory of Planned Behavior (TPB) was selected as the basis of the theoretical model. In addition, three contextual constructs (i.e., economic viability, governmental supervision, and project constraints) were introduced, formulating the initial model. Based on the initial model, eight constructs were identified and seven hypotheses were proposed. A questionnaire survey was conducted to collect data and a Structural Equation Modeling (SEM) analysis was employed to test the proposed hypotheses. Results showed that the C&D waste management intention is not a significant determinant of contractor's C&D waste management behavior. The most important determinant is economic viability, followed by governmental supervision as the second most important determinant. Nevertheless, the construct of project constraints is an insignificant determinant for contractor's adoption of C&D waste management behavior. The research findings imply that, in Mainland China, the government, at this stage, plays an important role in guiding and promoting the contractor to exhibit better C&D waste management behavior.

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          Author and article information

          Journal
          Waste Management
          Waste Management
          Elsevier BV
          0956053X
          February 2017
          February 2017
          : 60
          : 290-300
          Article
          10.1016/j.wasman.2016.09.001
          27613414
          4f4ec94d-61f4-4d25-b25d-e9b5d51a0871
          © 2017

          https://www.elsevier.com/tdm/userlicense/1.0/

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