Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors

Abstract In light of the Chinese government’s dual carbon goals, achieving cleaner production activities has become a central focus, with regional environmental collaborative governance, including the management of agricultural carbon reduction, emerging as a mainstream approach. This study examines...

Full description

Saved in:
Bibliographic Details
Main Authors: Xu Wei, Bohong Chen
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-83041-y
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841559525545476096
author Xu Wei
Bohong Chen
author_facet Xu Wei
Bohong Chen
author_sort Xu Wei
collection DOAJ
description Abstract In light of the Chinese government’s dual carbon goals, achieving cleaner production activities has become a central focus, with regional environmental collaborative governance, including the management of agricultural carbon reduction, emerging as a mainstream approach. This study examines 268 prefecture-level cities in China, measuring the carbon emission efficiency of city agriculture from 2001 to 2022. By integrating social network analysis and a modified gravity model, the study reveals the characteristics of the spatial association network of city agricultural carbon emission efficiency in China. Additionally, the quadratic assignment procedure is employed to investigate the driving factors. The findings indicate that: (1) The carbon emission efficiency of cities agriculture in China displays substantial spatiotemporal heterogeneity, characterized by marked regional clustering. Central cities generally exhibit higher efficiency levels, while the surrounding cities tend to have lower efficiency. (2) The carbon emission efficiency of city agriculture in China displays multidimensional, complex, and organic characteristics, with potential for enhanced network stability. (3) Agricultural regions in central and southeastern China dominate the spatial network, while regions with weaker agricultural sectors, like Beijing, Shanghai, and Ningxia, occupy peripheral positions. (4) Within the spatial association network of city agricultural carbon emission efficiency in China, Intra block spatial correlations are low, while interblock spatial correlations are strong, exhibiting significant spillover effects. (5)Variations in agricultural development levels and mechanization significantly enhance the formation of networks related to city agricultural carbon emission efficiency in China. Conversely, differences in industrial structure and fertilizer application levels exert a substantial negative influence on these networks.
format Article
id doaj-art-f384c203a044425a8983cb57703097bf
institution Kabale University
issn 2045-2322
language English
publishDate 2024-12-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-f384c203a044425a8983cb57703097bf2025-01-05T12:25:33ZengNature PortfolioScientific Reports2045-23222024-12-0114112110.1038/s41598-024-83041-ySpatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factorsXu Wei0Bohong Chen1College of Ethnology and Sociology, Guangxi Minzu UniversityCollege of Economics and Management, Huazhong Agricultural UniversityAbstract In light of the Chinese government’s dual carbon goals, achieving cleaner production activities has become a central focus, with regional environmental collaborative governance, including the management of agricultural carbon reduction, emerging as a mainstream approach. This study examines 268 prefecture-level cities in China, measuring the carbon emission efficiency of city agriculture from 2001 to 2022. By integrating social network analysis and a modified gravity model, the study reveals the characteristics of the spatial association network of city agricultural carbon emission efficiency in China. Additionally, the quadratic assignment procedure is employed to investigate the driving factors. The findings indicate that: (1) The carbon emission efficiency of cities agriculture in China displays substantial spatiotemporal heterogeneity, characterized by marked regional clustering. Central cities generally exhibit higher efficiency levels, while the surrounding cities tend to have lower efficiency. (2) The carbon emission efficiency of city agriculture in China displays multidimensional, complex, and organic characteristics, with potential for enhanced network stability. (3) Agricultural regions in central and southeastern China dominate the spatial network, while regions with weaker agricultural sectors, like Beijing, Shanghai, and Ningxia, occupy peripheral positions. (4) Within the spatial association network of city agricultural carbon emission efficiency in China, Intra block spatial correlations are low, while interblock spatial correlations are strong, exhibiting significant spillover effects. (5)Variations in agricultural development levels and mechanization significantly enhance the formation of networks related to city agricultural carbon emission efficiency in China. Conversely, differences in industrial structure and fertilizer application levels exert a substantial negative influence on these networks.https://doi.org/10.1038/s41598-024-83041-yChinese citiesAgricultural carbon emission efficiencySpatial association network structureDriving factors
spellingShingle Xu Wei
Bohong Chen
Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors
Scientific Reports
Chinese cities
Agricultural carbon emission efficiency
Spatial association network structure
Driving factors
title Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors
title_full Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors
title_fullStr Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors
title_full_unstemmed Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors
title_short Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors
title_sort spatial association network structure of agricultural carbon emission efficiency in chinese cities and its driving factors
topic Chinese cities
Agricultural carbon emission efficiency
Spatial association network structure
Driving factors
url https://doi.org/10.1038/s41598-024-83041-y
work_keys_str_mv AT xuwei spatialassociationnetworkstructureofagriculturalcarbonemissionefficiencyinchinesecitiesanditsdrivingfactors
AT bohongchen spatialassociationnetworkstructureofagriculturalcarbonemissionefficiencyinchinesecitiesanditsdrivingfactors