Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China

Green residential buildings (GRBs) are an important part of the concept of green building. Although green buildings are well studied for geographic distribution and influencing factors, GRBs have not been fully explored or widely noted by parties involved in the building sectors. In this paper, we s...

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Autores principales:	Ke Guo, Yongbo Yuan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	green residential building geographic distribution correlation analysis influencing factors Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/d4ea6bf1d3b14c9f82c72fbcf0a09b78
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spelling	oai:doaj.org-article:d4ea6bf1d3b14c9f82c72fbcf0a09b782021-11-11T19:42:43ZGeographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China10.3390/su1321120602071-1050https://doaj.org/article/d4ea6bf1d3b14c9f82c72fbcf0a09b782021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12060https://doaj.org/toc/2071-1050Green residential buildings (GRBs) are an important part of the concept of green building. Although green buildings are well studied for geographic distribution and influencing factors, GRBs have not been fully explored or widely noted by parties involved in the building sectors. In this paper, we study the geographic distribution and influencing factors of 2134 GRBs that met the Green Building Evaluation Standard and obtained a green building logo in 2008–2016 in China. First, we analyze the geographic distribution and spatial correlation of GRBs with different star ratings at the provincial and municipal levels by natural break-point method and Moran’s index. Second, we study the aggregation degree of medium- and high-star GRBs in each province by development concentration index and define 42 leading cities with more favorable levels of GRB development. Third, we analyze the correlation between the GRBs’ number and 18 influencing factors covering the social economy and real estate market in the 42 leading cities. According to the analysis, this paper shows that (1) there are differences in the geographical distribution characteristics of different star green buildings in China. (2) The differences in geographical distribution and the spatial correlation of GRBs are more obvious in the study of municipal administrative division levels. (3) The local commercial residential building prices and the local residents’ economic and social statuses, education levels, and living standards are significantly positively correlated with the grade of GRBs.Ke GuoYongbo YuanMDPI AGarticlegreen residential buildinggeographic distributioncorrelation analysisinfluencing factorsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12060, p 12060 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	green residential building geographic distribution correlation analysis influencing factors Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	green residential building geographic distribution correlation analysis influencing factors Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Ke Guo Yongbo Yuan Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China
description	Green residential buildings (GRBs) are an important part of the concept of green building. Although green buildings are well studied for geographic distribution and influencing factors, GRBs have not been fully explored or widely noted by parties involved in the building sectors. In this paper, we study the geographic distribution and influencing factors of 2134 GRBs that met the Green Building Evaluation Standard and obtained a green building logo in 2008–2016 in China. First, we analyze the geographic distribution and spatial correlation of GRBs with different star ratings at the provincial and municipal levels by natural break-point method and Moran’s index. Second, we study the aggregation degree of medium- and high-star GRBs in each province by development concentration index and define 42 leading cities with more favorable levels of GRB development. Third, we analyze the correlation between the GRBs’ number and 18 influencing factors covering the social economy and real estate market in the 42 leading cities. According to the analysis, this paper shows that (1) there are differences in the geographical distribution characteristics of different star green buildings in China. (2) The differences in geographical distribution and the spatial correlation of GRBs are more obvious in the study of municipal administrative division levels. (3) The local commercial residential building prices and the local residents’ economic and social statuses, education levels, and living standards are significantly positively correlated with the grade of GRBs.
format	article
author	Ke Guo Yongbo Yuan
author_facet	Ke Guo Yongbo Yuan
author_sort	Ke Guo
title	Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China
title_short	Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China
title_full	Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China
title_fullStr	Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China
title_full_unstemmed	Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China
title_sort	geographic distribution and influencing factor analysis of green residential buildings in china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d4ea6bf1d3b14c9f82c72fbcf0a09b78
work_keys_str_mv	AT keguo geographicdistributionandinfluencingfactoranalysisofgreenresidentialbuildingsinchina AT yongboyuan geographicdistributionandinfluencingfactoranalysisofgreenresidentialbuildingsinchina
_version_	1718431493966004224

Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China

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