Research and analysis of urban-rural residential carbon emissions in China

Residential carbon emissions are an important component of anthropogenic carbon emissions. a significant increase in residential carbon emissions has become a reality under the global urbanization process. In this context, this paper built a feature combination value model based on NPP-VIIRS nightti...

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Main Authors: Ailin Liang, Zhao Tian, Chengzhi Xiang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Sustainable Futures
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666188824001369
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author Ailin Liang
Zhao Tian
Chengzhi Xiang
author_facet Ailin Liang
Zhao Tian
Chengzhi Xiang
author_sort Ailin Liang
collection DOAJ
description Residential carbon emissions are an important component of anthropogenic carbon emissions. a significant increase in residential carbon emissions has become a reality under the global urbanization process. In this context, this paper built a feature combination value model based on NPP-VIIRS nighttime light remote sensing data, and divided urban-rural areas through breakpoint analysis method and reference comparison method. Then, explored the characteristics and differences of residential carbon emissions and per capita residential carbon emissions in nine different levels of cities in 2019 from the perspective of urban-rural areas. The results indicate that the residential carbon emissions and per capita residential carbon emissions shows the spatial distribution characteristics of first tier cities>second tier cities>third tier cities. Among them, the residential carbon emissions in Beijing, Guangzhou, Nanjing, Taiyuan show a distribution pattern of urban>urban-rural fringe>rural. The residential carbon emissions in Shijiazhuang, Wuxi, Xiangyang, Zunyi, Huai’an show a distribution pattern of rural>urban-rural fringe>urban. The per capita residential carbon emissions of urban areas are relatively low, while the per capita residential carbon emissions of rural areas are relatively high, show a distribution pattern of rural>urban-rural fringe >urban. The results can help the Chinese government balance the needs of urban-rural development in different levels of cities, so as to formulate targeted carbon emission reduction policies and achieve low-carbon goals.
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publishDate 2024-12-01
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series Sustainable Futures
spelling doaj-art-585a9716d43b494492ed1b5c9f4f87d42024-12-18T08:52:25ZengElsevierSustainable Futures2666-18882024-12-018100287Research and analysis of urban-rural residential carbon emissions in ChinaAilin Liang0Zhao Tian1Chengzhi Xiang2Corresponding author.; School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaResidential carbon emissions are an important component of anthropogenic carbon emissions. a significant increase in residential carbon emissions has become a reality under the global urbanization process. In this context, this paper built a feature combination value model based on NPP-VIIRS nighttime light remote sensing data, and divided urban-rural areas through breakpoint analysis method and reference comparison method. Then, explored the characteristics and differences of residential carbon emissions and per capita residential carbon emissions in nine different levels of cities in 2019 from the perspective of urban-rural areas. The results indicate that the residential carbon emissions and per capita residential carbon emissions shows the spatial distribution characteristics of first tier cities>second tier cities>third tier cities. Among them, the residential carbon emissions in Beijing, Guangzhou, Nanjing, Taiyuan show a distribution pattern of urban>urban-rural fringe>rural. The residential carbon emissions in Shijiazhuang, Wuxi, Xiangyang, Zunyi, Huai’an show a distribution pattern of rural>urban-rural fringe>urban. The per capita residential carbon emissions of urban areas are relatively low, while the per capita residential carbon emissions of rural areas are relatively high, show a distribution pattern of rural>urban-rural fringe >urban. The results can help the Chinese government balance the needs of urban-rural development in different levels of cities, so as to formulate targeted carbon emission reduction policies and achieve low-carbon goals.http://www.sciencedirect.com/science/article/pii/S2666188824001369NPP-VIIRSurban-rural differencesresidential carbon emissionsper capita residential carbon emissions
spellingShingle Ailin Liang
Zhao Tian
Chengzhi Xiang
Research and analysis of urban-rural residential carbon emissions in China
Sustainable Futures
NPP-VIIRS
urban-rural differences
residential carbon emissions
per capita residential carbon emissions
title Research and analysis of urban-rural residential carbon emissions in China
title_full Research and analysis of urban-rural residential carbon emissions in China
title_fullStr Research and analysis of urban-rural residential carbon emissions in China
title_full_unstemmed Research and analysis of urban-rural residential carbon emissions in China
title_short Research and analysis of urban-rural residential carbon emissions in China
title_sort research and analysis of urban rural residential carbon emissions in china
topic NPP-VIIRS
urban-rural differences
residential carbon emissions
per capita residential carbon emissions
url http://www.sciencedirect.com/science/article/pii/S2666188824001369
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