Skip to main navigation Skip to search Skip to main content

Factors affecting green residential building development: Social network analysis

  • School of Civil Engineering, Harbin Institute of Technology
  • Central Queensland University

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number1389
JournalSustainability (Switzerland)
Volume10
Issue number5
DOIs
StatePublished - 1 May 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Critical factors
  • Development strategy
  • Green residential building
  • Influential factors
  • Social network analysis

Fingerprint

Dive into the research topics of 'Factors affecting green residential building development: Social network analysis'. Together they form a unique fingerprint.

Cite this