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Social Network Analysis of Factors Influencing Green Building Development in China
Green buildings have been viewed as one of the most effective solutions to the negative environmental impacts of construction activities. For the sustainable development of the economy and the environment, many governments in the world have launched a variety of policies to encourage the development...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313352/ https://www.ncbi.nlm.nih.gov/pubmed/30487441 http://dx.doi.org/10.3390/ijerph15122684 |
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author | Huang, Ning Bai, Libiao Wang, Hailing Du, Qiang Shao, Long Li, Jingtao |
author_facet | Huang, Ning Bai, Libiao Wang, Hailing Du, Qiang Shao, Long Li, Jingtao |
author_sort | Huang, Ning |
collection | PubMed |
description | Green buildings have been viewed as one of the most effective solutions to the negative environmental impacts of construction activities. For the sustainable development of the economy and the environment, many governments in the world have launched a variety of policies to encourage the development of green buildings. However, green targets achieved during the operational stage of green buildings are far below the expectations from the design stage. In addition, the development of green buildings is unevenly distributed in different cities. To help resolve these issues, this paper identifies 28 green building influencing factors from two perspectives, the life cycle and stakeholders. Then, a social network analysis is used to analyse their interactions and identify the critical factors. Our results show that government supervision, incremental cost, property management experience, and the awareness of environmental protection in green buildings are the critical influencing factors in promoting green building development. However, some factors related to contractors, designers and suppliers are not as important as perceived. Finally, some policy recommendations are proposed to promote green buildings in China. |
format | Online Article Text |
id | pubmed-6313352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63133522019-06-17 Social Network Analysis of Factors Influencing Green Building Development in China Huang, Ning Bai, Libiao Wang, Hailing Du, Qiang Shao, Long Li, Jingtao Int J Environ Res Public Health Article Green buildings have been viewed as one of the most effective solutions to the negative environmental impacts of construction activities. For the sustainable development of the economy and the environment, many governments in the world have launched a variety of policies to encourage the development of green buildings. However, green targets achieved during the operational stage of green buildings are far below the expectations from the design stage. In addition, the development of green buildings is unevenly distributed in different cities. To help resolve these issues, this paper identifies 28 green building influencing factors from two perspectives, the life cycle and stakeholders. Then, a social network analysis is used to analyse their interactions and identify the critical factors. Our results show that government supervision, incremental cost, property management experience, and the awareness of environmental protection in green buildings are the critical influencing factors in promoting green building development. However, some factors related to contractors, designers and suppliers are not as important as perceived. Finally, some policy recommendations are proposed to promote green buildings in China. MDPI 2018-11-28 2018-12 /pmc/articles/PMC6313352/ /pubmed/30487441 http://dx.doi.org/10.3390/ijerph15122684 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Ning Bai, Libiao Wang, Hailing Du, Qiang Shao, Long Li, Jingtao Social Network Analysis of Factors Influencing Green Building Development in China |
title | Social Network Analysis of Factors Influencing Green Building Development in China |
title_full | Social Network Analysis of Factors Influencing Green Building Development in China |
title_fullStr | Social Network Analysis of Factors Influencing Green Building Development in China |
title_full_unstemmed | Social Network Analysis of Factors Influencing Green Building Development in China |
title_short | Social Network Analysis of Factors Influencing Green Building Development in China |
title_sort | social network analysis of factors influencing green building development in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313352/ https://www.ncbi.nlm.nih.gov/pubmed/30487441 http://dx.doi.org/10.3390/ijerph15122684 |
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