随着学者们对知识网络研究的深入,网络关联的影响因素和作用机制成为重要议题。本文基于2019-2020年Web of Science论文合作发表数据构建长三角城市科研合作网络,在空间和拓扑特征分析的基础上,采用加权指数随机图模型定量模拟了城市属...随着学者们对知识网络研究的深入,网络关联的影响因素和作用机制成为重要议题。本文基于2019-2020年Web of Science论文合作发表数据构建长三角城市科研合作网络,在空间和拓扑特征分析的基础上,采用加权指数随机图模型定量模拟了城市属性、城际关系和网络结构对合作网络的影响,揭示了科研合作中的邻近性和自组织性。研究发现:①长三角城市科研合作网络是内外生动力共同作用的结果。就城市禀赋而言,高校数量、研发投入、人均GDP可促进城市的对外科研合作,其中高校数量的边际效应最大。②就城际关系而言,组织邻近性的正向影响最强,同省城市合作的概率是跨省城市的3.157倍;认知邻近性每提高0.1,城市间的合作概率将是原先的1.981倍;而地理和社会邻近性的促进作用甚微,制度和文化邻近性影响为负,是择优偏好较强和方言壁垒有限的结果。③就网络结构而言,长三角城市科研合作具有自组织自演化性,局部星型结构和三角形结构对新合作关系的贡献为0.875和0.540,择优链接性强于传递闭合性。展开更多
Both farmers and traders benefit from trade networking, which is crucial for the local economy. Therefore, it is crucial to understand how these networks operate, and how they can be managed more effectively. Througho...Both farmers and traders benefit from trade networking, which is crucial for the local economy. Therefore, it is crucial to understand how these networks operate, and how they can be managed more effectively. Throughout this study, we examine the economic networks formed between farmers and traders through the trade of food products. These networks are analyzed from the perspective of their structure and the factors that influence their development. Using data from 18 farmers and 15 traders, we applied exponential random graph models. The results of our study showed that connectivity, Popularity Spread, activity spread, good transportation systems, and high yields all affected the development of networks. Therefore, farmers’ productivity and high market demand can contribute to local food-crop trade. The network was not affected by reciprocity, open markets, proximity to locations, or trade experience of actors. Policy makers should consider these five factors when formulating policies for local food-crop trade. Additionally, local actors should be encouraged to use these factors to improve their network development. However, it is important to note that these factors alone cannot guarantee success. Policy makers and actors must also consider other factors such as legal frameworks, economic policies, and resource availability. Our approach can be used in future research to determine how traders and farmers can enhance productivity and profit in West Africa. This study addresses a research gap by examining factors influencing local food trade in a developing country.展开更多
文摘随着学者们对知识网络研究的深入,网络关联的影响因素和作用机制成为重要议题。本文基于2019-2020年Web of Science论文合作发表数据构建长三角城市科研合作网络,在空间和拓扑特征分析的基础上,采用加权指数随机图模型定量模拟了城市属性、城际关系和网络结构对合作网络的影响,揭示了科研合作中的邻近性和自组织性。研究发现:①长三角城市科研合作网络是内外生动力共同作用的结果。就城市禀赋而言,高校数量、研发投入、人均GDP可促进城市的对外科研合作,其中高校数量的边际效应最大。②就城际关系而言,组织邻近性的正向影响最强,同省城市合作的概率是跨省城市的3.157倍;认知邻近性每提高0.1,城市间的合作概率将是原先的1.981倍;而地理和社会邻近性的促进作用甚微,制度和文化邻近性影响为负,是择优偏好较强和方言壁垒有限的结果。③就网络结构而言,长三角城市科研合作具有自组织自演化性,局部星型结构和三角形结构对新合作关系的贡献为0.875和0.540,择优链接性强于传递闭合性。
文摘Both farmers and traders benefit from trade networking, which is crucial for the local economy. Therefore, it is crucial to understand how these networks operate, and how they can be managed more effectively. Throughout this study, we examine the economic networks formed between farmers and traders through the trade of food products. These networks are analyzed from the perspective of their structure and the factors that influence their development. Using data from 18 farmers and 15 traders, we applied exponential random graph models. The results of our study showed that connectivity, Popularity Spread, activity spread, good transportation systems, and high yields all affected the development of networks. Therefore, farmers’ productivity and high market demand can contribute to local food-crop trade. The network was not affected by reciprocity, open markets, proximity to locations, or trade experience of actors. Policy makers should consider these five factors when formulating policies for local food-crop trade. Additionally, local actors should be encouraged to use these factors to improve their network development. However, it is important to note that these factors alone cannot guarantee success. Policy makers and actors must also consider other factors such as legal frameworks, economic policies, and resource availability. Our approach can be used in future research to determine how traders and farmers can enhance productivity and profit in West Africa. This study addresses a research gap by examining factors influencing local food trade in a developing country.
