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Sustainability 2018, 10(5), 1389; https://doi.org/10.3390/su10051389

Factors Affecting Green Residential Building Development: Social Network Analysis

1
School of Civil Engineering, Harbin Institute of Technology, Harbin 150001, China
2
School of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia
*
Author to whom correspondence should be addressed.
Received: 17 April 2018 / Revised: 26 April 2018 / Accepted: 27 April 2018 / Published: 1 May 2018
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Abstract

Green residential buildings (GRBs) are one of the effective practices of energy saving and emission reduction in the construction industry. However, many real estate developers in China are less willing to develop GRBs, because of the factors affecting green residential building development (GRBD). In order to promote the sustainable development of GRBs in China, this paper, based on the perspective of real estate developers, identifies the influential and critical factors affecting GRBD, using the method of social network analysis (SNA). Firstly, 14 factors affecting GRBD are determined from 64 preliminary factors of three main elements, and the framework is established. Secondly, the relationships between the 14 factors are analyzed by SNA. Finally, four critical factors for GRBD, which are on the local economy development level, development strategy and innovation orientation, developer’s acknowledgement and positioning for GRBD, and experience and ability for GRBD, are identified by the social network centrality test. The findings illustrate the key issues that affect the development of GRBs, and provide references for policy making by the government and strategy formulation by real estate developers. View Full-Text
Keywords: green residential building; social network analysis; influential factors; critical factors; development strategy green residential building; social network analysis; influential factors; critical factors; development strategy
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Yang, X.; Zhang, J.; Zhao, X. Factors Affecting Green Residential Building Development: Social Network Analysis. Sustainability 2018, 10, 1389.

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