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

Yu He, Guozhu Fang, Chunjie Qi () and Yumeng Gu
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Yu He: College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
Guozhu Fang: Department of Economics, Party School of Zhejiang Provincial Committee of Communist Party of China, Hangzhou 310012, China
Chunjie Qi: College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
Yumeng Gu: College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China

Agriculture, 2025, vol. 15, issue 7, 1-22

Abstract: 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.

Keywords: green development of agriculture; spatial correlation network; driving mechanism; gravity model; social network analysis method; QAP regression (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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