Spatiotemporal Evolution and Driving Factors of Spatial Correlation Network Structure of China's Agricultural High-quality Development
This article establishes an evaluation index system of regional agricultural high-quality development(AHQD)based on five development concepts of high-quality development.It uses the methods of social network analysis(SNA)and quadratic assignment procedure(QAP)to analyze the characteristics of spatial association network structure of agricultural high-quality development at the provincial level and its driving factors.The results show that:1)The spatial correlation relationship in the inter-provincial agricultural high-quality development has characteristics of network structure.The stability of the spatial correlation network for agricultural high-quality development increased from 2011 to 2021,but there is still room for improvement in network linkage.2)The centrality of inter-provincial networks in spatial correlation for agricultural high-quality development shows a distribution pattern of"high in the east of China,low in the west of China".3)The spatial correlation of agricultural high-quality development can be categorized into four segments:the"net beneficiary"segment(dominated by provinces in the Bohai Rim),the"two-way beneficiary"segment(led by provinces in the Yangtze River Delta and the southeastern coastal regions,which derive the greatest benefits from the spatial correlation network),the"net spillover"segment(primarily comprising provinces in western and northeastern China,which benefit the least from the network),and the"broker"segment(dominated by provinces in central China,which serve as an"intermediary"within the network).4)Urbanization,economic development,information communication level,science and technology level,and geographic proximity have a positive impact on the spatial correlation network of agricultural high-quality development.By contrast,agricultural structure has a negative effect on it.Economic development level and geographic proximity are two key influencing factors.
agriculture high-quality developmentspatial correlation networkstructural characteristicsgeographical proximityeconomic development levelagricultural structure
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