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Improving the Green Building Evaluation System in China Based on the DANP Method

Qi-Gan Shao (), James J. H. Liou (), Sung-Shun Weng () and Yen-Ching Chuang ()
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Qi-Gan Shao: School of Economics & Management, Xiamen University of Technology, Xiamen 361024, China
James J. H. Liou: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan
Sung-Shun Weng: Department of Information and Finance Management, National Taipei University of Technology, Taipei 10608, Taiwan
Yen-Ching Chuang: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan

Sustainability, 2018, vol. 10, issue 4, 1-20

Abstract: Against the background of sustainable development, green building practices could be part of the strategy for solving environmental and energy problems in developing countries. The aim of this paper is to explore a system for the assessment of green buildings in China that provides the government and stakeholders with ways to improve their strategies for green building development. We apply a hybrid model, developed by integrating the Decision-Making Trial and Evaluation Laboratory and Analytical Network Process (called DANP) method, to build an influential network relationship map (INRM) between assessment systems and to derive the criterion weights. The INRM and derived weights can help us to understand this complex assessment system and to set improvement priorities for green building development. The results demonstrate that indoor environment, materials, and smart facilities are the top three critical factors for green building evaluation. Finally, we discuss some management implications based on an actual case study with solutions provided using this model.

Keywords: green building; sustainability; Decision-Making Trial and Evaluation Laboratory (DEMATEL); Analytical Network Process (ANP); DEMATEL-based ANP (DANP) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2018
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