Analysis of the Characteristics and Agglomeration Effect of the Rural Element Spatial Correlation Network in Northeast China

Yu Sun, Jing Ning () and Yongxin Piao
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Yu Sun: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Jing Ning: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Yongxin Piao: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China

Land, 2025, vol. 14, issue 2, 1-22

Abstract: In the face of the urgent need for the coordinated development of regional rural functions and the orderly and efficient integration of urban and rural areas, the problem of how to accurately identify the spatial correlation relationships and characteristics of rural elements among regions in Northeast China has become a key issue that urgently needs to be resolved. The results show the following: (1) The overall spatial correlation network (SCN) in the Northeast region from the perspective of rural element gravity has obvious differences. Each province has generated a strong connection center, and “strip-shaped” connection belts have been formed across provinces and cities. (2) From the perspective of the spatial pattern of the strong connection attributes of rural elements, Heilongjiang Province presents a polygonal “rhombus network”, Jilin Province presents a closed-loop “triangle network”, and Liaoning Province presents an irregular “trapezoid network”. (3) The connection relationships of rural element nodes within the provincial scope show that Yichun is an important hub connecting all directions within the province; Changchun and Siping have become the central nodes connecting the nodes on the northwest–southeast wings; Fuxin and Yingkou have become the central locations connecting the nodes on the southwest–northeast sides. (4) There are four sectors in the network, and the rural element transfer mechanism among the sectors shows that Block I and Block II are net spillover sectors, playing the role of “resource-based” sectors, and transmitting information to the net inflow Block IV through the broker Block III, presenting a “gradient” transmission mode.

Keywords: rural elements; spatial correlation network; modified gravity model; social network analysis method (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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