Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China

Agricultural green development is an essential pathway to achieving comprehensive agricultural and rural modernization and holds significant importance for ensuring national food, resource, and ecological security. Based on panel data from 30 provinces in China during 2004–2022, this study employed...

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Main Authors: Yu He, Guozhu Fang, Chunjie Qi, Yumeng Gu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Agriculture
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Online Access:https://www.mdpi.com/2077-0472/15/7/693
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author Yu He
Guozhu Fang
Chunjie Qi
Yumeng Gu
author_facet Yu He
Guozhu Fang
Chunjie Qi
Yumeng Gu
author_sort Yu He
collection DOAJ
description Agricultural green development is an essential pathway to achieving comprehensive agricultural and rural modernization and holds significant importance for ensuring national food, resource, and ecological security. Based on panel data from 30 provinces in China during 2004–2022, this study employed the super-efficiency SBM-GML model, the modified gravity model, social network analysis (SNA), and the quadratic assignment procedure (QAP) regression model to systematically analyze the spatial association network characteristics and driving mechanisms of agricultural green development in China. The results showed that (1) the number of spatial linkages in interprovincial agricultural green development had been increasing, with the network exhibiting strong connectivity, stability, and accessibility. (2) Major grain-producing areas and economically developed regions along the eastern coast had become the driving sources of spatial spillovers in agricultural green development. Meanwhile, the central and western regions acted as “brokers” in facilitating the reception and transfer of resources within the overall network, while municipalities such as Tianjin and Shanghai exhibited siphon effects on other regions. (3) Geographical proximity, government fiscal support, rural labor force size, progress in green technologies, and the agricultural economic development level significantly enhanced the spatial spillover effects of agricultural green development. However, regional disparities in agricultural industrial structures served as a key obstacle to realizing these spillover effects.
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spelling doaj-art-1a27b2763c714dfda3ff32b34eec3af52025-08-20T03:06:23ZengMDPI AGAgriculture2077-04722025-03-0115769310.3390/agriculture15070693Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in ChinaYu He0Guozhu Fang1Chunjie Qi2Yumeng Gu3College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, ChinaDepartment of Economics, Party School of Zhejiang Provincial Committee of Communist Party of China, Hangzhou 310012, ChinaCollege of Economics and Management, Huazhong Agricultural University, Wuhan 430070, ChinaCollege of Economics and Management, Huazhong Agricultural University, Wuhan 430070, ChinaAgricultural green development is an essential pathway to achieving comprehensive agricultural and rural modernization and holds significant importance for ensuring national food, resource, and ecological security. Based on panel data from 30 provinces in China during 2004–2022, this study employed the super-efficiency SBM-GML model, the modified gravity model, social network analysis (SNA), and the quadratic assignment procedure (QAP) regression model to systematically analyze the spatial association network characteristics and driving mechanisms of agricultural green development in China. The results showed that (1) the number of spatial linkages in interprovincial agricultural green development had been increasing, with the network exhibiting strong connectivity, stability, and accessibility. (2) Major grain-producing areas and economically developed regions along the eastern coast had become the driving sources of spatial spillovers in agricultural green development. Meanwhile, the central and western regions acted as “brokers” in facilitating the reception and transfer of resources within the overall network, while municipalities such as Tianjin and Shanghai exhibited siphon effects on other regions. (3) Geographical proximity, government fiscal support, rural labor force size, progress in green technologies, and the agricultural economic development level significantly enhanced the spatial spillover effects of agricultural green development. However, regional disparities in agricultural industrial structures served as a key obstacle to realizing these spillover effects.https://www.mdpi.com/2077-0472/15/7/693green development of agriculturespatial correlation networkdriving mechanismgravity modelsocial network analysis methodQAP regression
spellingShingle Yu He
Guozhu Fang
Chunjie Qi
Yumeng Gu
Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China
Agriculture
green development of agriculture
spatial correlation network
driving mechanism
gravity model
social network analysis method
QAP regression
title Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China
title_full Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China
title_fullStr Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China
title_full_unstemmed Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China
title_short Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China
title_sort research on the spatial correlation network and driving mechanism of agricultural green development in china
topic green development of agriculture
spatial correlation network
driving mechanism
gravity model
social network analysis method
QAP regression
url https://www.mdpi.com/2077-0472/15/7/693
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AT guozhufang researchonthespatialcorrelationnetworkanddrivingmechanismofagriculturalgreendevelopmentinchina
AT chunjieqi researchonthespatialcorrelationnetworkanddrivingmechanismofagriculturalgreendevelopmentinchina
AT yumenggu researchonthespatialcorrelationnetworkanddrivingmechanismofagriculturalgreendevelopmentinchina