Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method

Abstract In this paper, the Hefei metropolitan area is selected as the research object to measure industrial carbon emissions in this area during 2010–2022. The main contribution is to deeply analyze the characteristics of the spatial correlation network of industrial carbon emissions in the Hefei m...

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Main Authors: Dawei Dai, Yuewen Liu, Shuhang Zhao, Yue Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-87805-y
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author Dawei Dai
Yuewen Liu
Shuhang Zhao
Yue Chen
author_facet Dawei Dai
Yuewen Liu
Shuhang Zhao
Yue Chen
author_sort Dawei Dai
collection DOAJ
description Abstract In this paper, the Hefei metropolitan area is selected as the research object to measure industrial carbon emissions in this area during 2010–2022. The main contribution is to deeply analyze the characteristics of the spatial correlation network of industrial carbon emissions in the Hefei metropolitan area with the modified gravity model and social network analysis(SNA), and to explore the driving factors of its formation with quadratic assignment procedure(QAP). It establishes the foundation for the Hefei metropolitan area to differentiated green city development policies. The results show that (1) The industrial carbon emission in the Hefei metropolitan area showed a fluctuating and rising trend, forming a strongly connected carbon emission network spatial patterna; (2) The overall structure of the spatial correlation network of industrial carbon emissions in the Hefei metropolitan area is stable, but the tightness of the spatial correlation relationship among cities is not enough and the hierarchy is evident; (3) Hefei and Huainan are the centers of the carbon emission spatial correlation network of the Hefei metropolitan area, the position of each city in the carbon emission spatial correlation network is obviously unbalanced; (4) Urbanization level, economic development level, technological innovation, level of opening up and industrial structure exert considerable influence on the establishment and evolution of the spatial correlation network pertaining to industrial carbon emissions within the Hefei metropolitan area.
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spelling doaj-art-0351a30edb7e44ab910a294a8fe8b8fb2025-02-02T12:16:57ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-025-87805-yStudy on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP methodDawei Dai0Yuewen Liu1Shuhang Zhao2Yue Chen3School of Humanities and Social Sciences, Anhui University of Science and TechnologySchool of Humanities and Social Sciences, Anhui University of Science and TechnologySchool of Humanities and Social Sciences, Anhui University of Science and TechnologySchool of Humanities and Social Sciences, Anhui University of Science and TechnologyAbstract In this paper, the Hefei metropolitan area is selected as the research object to measure industrial carbon emissions in this area during 2010–2022. The main contribution is to deeply analyze the characteristics of the spatial correlation network of industrial carbon emissions in the Hefei metropolitan area with the modified gravity model and social network analysis(SNA), and to explore the driving factors of its formation with quadratic assignment procedure(QAP). It establishes the foundation for the Hefei metropolitan area to differentiated green city development policies. The results show that (1) The industrial carbon emission in the Hefei metropolitan area showed a fluctuating and rising trend, forming a strongly connected carbon emission network spatial patterna; (2) The overall structure of the spatial correlation network of industrial carbon emissions in the Hefei metropolitan area is stable, but the tightness of the spatial correlation relationship among cities is not enough and the hierarchy is evident; (3) Hefei and Huainan are the centers of the carbon emission spatial correlation network of the Hefei metropolitan area, the position of each city in the carbon emission spatial correlation network is obviously unbalanced; (4) Urbanization level, economic development level, technological innovation, level of opening up and industrial structure exert considerable influence on the establishment and evolution of the spatial correlation network pertaining to industrial carbon emissions within the Hefei metropolitan area.https://doi.org/10.1038/s41598-025-87805-yThe Hefei metropolitan areaSpatial correlationDriving factorsSocial network analysisQAP regression analysis
spellingShingle Dawei Dai
Yuewen Liu
Shuhang Zhao
Yue Chen
Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method
Scientific Reports
The Hefei metropolitan area
Spatial correlation
Driving factors
Social network analysis
QAP regression analysis
title Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method
title_full Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method
title_fullStr Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method
title_full_unstemmed Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method
title_short Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method
title_sort study on spatial correlation and driving factors of industrial carbon emission in the hefei metropolitan area based on sna qap method
topic The Hefei metropolitan area
Spatial correlation
Driving factors
Social network analysis
QAP regression analysis
url https://doi.org/10.1038/s41598-025-87805-y
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AT shuhangzhao studyonspatialcorrelationanddrivingfactorsofindustrialcarbonemissioninthehefeimetropolitanareabasedonsnaqapmethod
AT yuechen studyonspatialcorrelationanddrivingfactorsofindustrialcarbonemissioninthehefeimetropolitanareabasedonsnaqapmethod