As a traditional agricultural country,China has always prioritized agricultural development,and has increasingly focused on green and sustainable agricultural development.Based on the inter-provincial panel data for C...As a traditional agricultural country,China has always prioritized agricultural development,and has increasingly focused on green and sustainable agricultural development.Based on the inter-provincial panel data for China from 1997 to 2019,this study divided these data into five periods according to the Five-Year Plan(FYP)of China,measured the agricultural eco-efficiency(AEE)values using the Super-SBM model,and then determined the spatial association network of the inter-provincial AEE of China using the improved gravity model.Finally,social network analysis(SNA)was used to further analyze the evolution process of AEE,and we de-veloped a framework of how multidimensional proximity,which includes geographical,economic,technological,cognitive,and institutional proximity,made an influence on the formation of AEE spatial relation network.The findings indicated that:1)in 1997−2019,the AEE in China was present in some spatial and temporal differences characteristics at the provincial scale,and we specifically found that national macro-regulation and policy incentives played a positive role in the long-term development of AEE.2)The spatial correlation of AEE development among provincial regions were becoming closer and exhibits obvious spatial correlation and spillover effects.The evolution of the AEE network has clearly observable trends of hierarchization and aggregation,and the complexity of the correlation network continues to increase and exhibits spatial clustering characteristics that are dense in the east and sparse in the west.The network structure has changed from monocentric radiation to a multicentric network,and network nodes select the more advantageous nodes with which to connect.3)Finally,the geographical proximity had a significant negative effect;the economic,technological,and institutional proximities were all observed to contribute to the AEE network formation,and cognitive proximity did not significantly influence this network formation.展开更多
Urban networks have become an indispensable perspective in the study of regional urban systems.Exploring the evolutionary characteristics of urban networks in Northeast China holds substantial significance for uncover...Urban networks have become an indispensable perspective in the study of regional urban systems.Exploring the evolutionary characteristics of urban networks in Northeast China holds substantial significance for uncovering the mechanisms driving urban system evolution and optimizing regional spatial structure.By employing Temporal Exponential Random Graph Models(TERGM),this paper examines the spatiotemporal evolution and drivers of urban networks in Northeast China.Specifically,the network was constructed using data on inter-regional investment relations of large enterprises among 291 county-level administrative units from 1996 to 2023.Research findings:1)the strength and scope of urban network connections in Northeast China have continued to increase,but a polarized core-periphery structure exists.The network connections between municipal districts constitute the basic framework of the urban network in the region,while the connections between municipal districts and county-level cities are primarily one-way,lacking bidirectional network connections.2)The evolution of urban networks in Northeast China is influenced by both endogenous and exogenous driving mechanisms.Endogenous driving mechanisms include network density and node isolation,structural dependence effects,and temporal dependence effects,while exogenous driving mechanisms include urban development level and multidimensional proximity.3)Inter-district and district-county network linkages in Northeast China are driven by different mechanisms.Network connections between municipal districts are more influenced by structural dependence effects and are less constrained by institutional proximity mechanisms,making them more likely to form long-distance connections.Network relations between municipal districts and countylevel cities are more influenced by the isolate effect and temporal dependence mechanism,and urban areas with higher levels of economic and population development are more likely to establish network connections.This study contributes to the literature by providing a county-level perspective on urban network evolution and identifying the distinct mechanisms driving different types of network connections in Northeast China.展开更多
基金Under the auspices of National Key R&D Program of China(No.2018YFD 1100104)Natural Science Foundation of Anhui Province(No.2108085-MD29)National Natural Science Foundation of China(No.41571400)。
文摘As a traditional agricultural country,China has always prioritized agricultural development,and has increasingly focused on green and sustainable agricultural development.Based on the inter-provincial panel data for China from 1997 to 2019,this study divided these data into five periods according to the Five-Year Plan(FYP)of China,measured the agricultural eco-efficiency(AEE)values using the Super-SBM model,and then determined the spatial association network of the inter-provincial AEE of China using the improved gravity model.Finally,social network analysis(SNA)was used to further analyze the evolution process of AEE,and we de-veloped a framework of how multidimensional proximity,which includes geographical,economic,technological,cognitive,and institutional proximity,made an influence on the formation of AEE spatial relation network.The findings indicated that:1)in 1997−2019,the AEE in China was present in some spatial and temporal differences characteristics at the provincial scale,and we specifically found that national macro-regulation and policy incentives played a positive role in the long-term development of AEE.2)The spatial correlation of AEE development among provincial regions were becoming closer and exhibits obvious spatial correlation and spillover effects.The evolution of the AEE network has clearly observable trends of hierarchization and aggregation,and the complexity of the correlation network continues to increase and exhibits spatial clustering characteristics that are dense in the east and sparse in the west.The network structure has changed from monocentric radiation to a multicentric network,and network nodes select the more advantageous nodes with which to connect.3)Finally,the geographical proximity had a significant negative effect;the economic,technological,and institutional proximities were all observed to contribute to the AEE network formation,and cognitive proximity did not significantly influence this network formation.
基金Under the auspices of the Strategic Pilot Science and Technology Project of the Chinese Academy of Sciences(No.XDA28020403)National Natural Science Foundation of China(No.42071162)Young Scientist Group Project of Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences(No.2022QNXZ02)。
文摘Urban networks have become an indispensable perspective in the study of regional urban systems.Exploring the evolutionary characteristics of urban networks in Northeast China holds substantial significance for uncovering the mechanisms driving urban system evolution and optimizing regional spatial structure.By employing Temporal Exponential Random Graph Models(TERGM),this paper examines the spatiotemporal evolution and drivers of urban networks in Northeast China.Specifically,the network was constructed using data on inter-regional investment relations of large enterprises among 291 county-level administrative units from 1996 to 2023.Research findings:1)the strength and scope of urban network connections in Northeast China have continued to increase,but a polarized core-periphery structure exists.The network connections between municipal districts constitute the basic framework of the urban network in the region,while the connections between municipal districts and county-level cities are primarily one-way,lacking bidirectional network connections.2)The evolution of urban networks in Northeast China is influenced by both endogenous and exogenous driving mechanisms.Endogenous driving mechanisms include network density and node isolation,structural dependence effects,and temporal dependence effects,while exogenous driving mechanisms include urban development level and multidimensional proximity.3)Inter-district and district-county network linkages in Northeast China are driven by different mechanisms.Network connections between municipal districts are more influenced by structural dependence effects and are less constrained by institutional proximity mechanisms,making them more likely to form long-distance connections.Network relations between municipal districts and countylevel cities are more influenced by the isolate effect and temporal dependence mechanism,and urban areas with higher levels of economic and population development are more likely to establish network connections.This study contributes to the literature by providing a county-level perspective on urban network evolution and identifying the distinct mechanisms driving different types of network connections in Northeast China.
