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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yu Sun & Jing Ning & Yongxin Piao, 2025. "Analysis of the Characteristics and Agglomeration Effect of the Rural Element Spatial Correlation Network in Northeast China," Land, MDPI, vol. 14(2), pages 1-22, January.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:2:p:240-:d:1574631
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    References listed on IDEAS

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    1. Xintao Li & Dong Feng & Jian Li & Zaisheng Zhang, 2019. "Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
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    3. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    4. Wenbo Li & Dongyan Wang & Shuhan Liu & Yuanli Zhu & Zhuoran Yan, 2020. "Reclamation of Cultivated Land Reserves in Northeast China: Indigenous Ecological Insecurity Underlying National Food Security," IJERPH, MDPI, vol. 17(4), pages 1-16, February.
    5. Xiaohan Zhang & Haowei Wu & Zhihui Li & Xia Li, 2023. "Spatial–Temporal Evolution Characteristics and Driving Factors of Rural Development in Northeast China," Land, MDPI, vol. 12(7), pages 1-16, July.
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