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Description
This study focuses on the construction of regional multi-dimensional proximity network and the application of collaborative agglomeration between regions, aiming to rethink the regional construction model and promote fair distribution of resources.
This study focuses on the construction of multidimensional proximity networks in regional areas and the exploration of their application in fostering regional collaborative agglomeration, with the ultimate goal of reimagining rural network models and ensuring equitable resource distribution.
By integrating complex network theory with the direct application of multi-dimensional proximity principles, the study delves into the network structure characteristics across various proximity dimensions in regional settings through the utilization of correlation network models and other analytical tools. These dimensions encompass geographical proximity, social proximity, institutional proximity, and cognitive proximity. In constructing these multidimensional proximity network at the regional scale, geographical proximity networks take into consideration factors such as water network density, settlement scale and hierarchy, spatial integration, and spatial accessibility. Meanwhile, social and institutional proximity networks encompass political policies, village regulations, clan relationships, social organization ties, and industrial development policies. The cognitive proximity network, on the other hand, captures the subjective cognitive level of villagers through comprehensive questionnaire surveys. Geographical proximity facilitates collaborative development by leveraging geographical similarities, while social and institutional proximity strive for consistency in technological advancements and development directions. Cognitive proximity embodies the internal driving force of development and seeks ideological alignment. The study endeavors to identify whether the village is suitable for collaborative construction, thereby providing a scientific foundation for rural area development. The study is aimed at developing a versatile methodology for delineating regional clusters across a vast array of urban and rural areas, transcending administrative boundaries to foster coordinated regional development centered around cultural or industrial hubs.
The study uses Xinghua City, Jiangsu Province, China, as a case study. This study area, characterized by its dense water network and frequent inter-village communication within the Lixiahe region, serves as an exemplary context for studying rural multidimensional proximity networks. Study has found that in areas with high geographical proximity, due to geographical or spatial similarities, there is no necessary connection in village development, and the overall distribution shows a "core—correlation—edge" distribution. Villages with high social and institutional proximity have a high sense of cultural belonging and corresponding industrial development directions, such as having a unified fishery industry chain from aquaculture and processing to packaging and e-commerce sales, and have high potential for collaborative development. Villages with high cognitive proximity have a higher acceptance of village cooperation and collaborative development due to the influence of villagers' education level and economic cognitive ability, and their high support can promote further agglomeration and collaborative development of villages.
| Keywords | multi-dimensional proximity； Agglomeration； coordinated development |
|---|---|
| Best Congress Paper Award | Yes |
