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Spatial Correlation Network Characteristics and Driving Mechanisms of Non-Grain Land Use in the Yangtze River Economic Belt, China

Тип публикацииJournal Article
Дата публикации2025-10-28
SCImago Q1
WOS Q2
БС1
SJR0.775
CiteScore5.9
Impact factor3.2
ISSN2073445X
Краткое описание

The rational utilization of cultivated land resources is central to ensuring both ecological and food security in the Yangtze River Economic Belt (YREB), holding strategic significance for regional sustainable development. Using panel data from 2010 to 2023 for 130 cities in the YREB, this study examines a spatial correlation network (SCN) for non-grain land use (NGLU) and its driving forces via a modified gravity model, social network analysis (SNA), and quadratic assignment procedure regression. The results show the following: (1) The risk of NGLU continues to increase, with the spatial pattern evolving from a “single-peak right deviation” pattern to a “multi-peak coexistence” pattern featuring three-level polarization and gradient transmission, primarily driven by economic potential disparities. (2) The SCN has increased in density, but its pathways are relatively singular. Node functions exhibit significant differentiation, with high-degree nodes forming “control poles”, high-intermediate nodes dominating cross-regional risk transmission, and low-proximity nodes experiencing “protective marginalization”. Node centrality distribution is highly connected with the regional development gradient. (3) The formation of the spatial network is jointly driven by multiple factors. Geographical proximity, economic potential differences, comparative benefit differences, non-agricultural employment differences, and factor mobility all positively contribute to the spillover effect. Conversely, implementing cultivated land protection policies and the regional imbalance in local industrial development path dependence significantly inhibit the non-grain trend. This study further reveals that a synergistic governance system characterized by “axial management, node classification, and edge support” should be recommended to prevent the gradient risk transmission induced by economic disparities, providing a scientific basis for achieving sustainable use of regional cultivated land resources and coordinated governance of food security.

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Land
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ГОСТ |
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Wang B. et al. Spatial Correlation Network Characteristics and Driving Mechanisms of Non-Grain Land Use in the Yangtze River Economic Belt, China // Land. 2025. Vol. 14. No. 11. p. 2149.
ГОСТ со всеми авторами (до 50) Скопировать
Wang B., Qiong Y., Li L., Liu W., Wang Y., Ma M. Spatial Correlation Network Characteristics and Driving Mechanisms of Non-Grain Land Use in the Yangtze River Economic Belt, China // Land. 2025. Vol. 14. No. 11. p. 2149.
RIS |
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TY - JOUR
DO - 10.3390/land14112149
UR - https://www.mdpi.com/2073-445X/14/11/2149
TI - Spatial Correlation Network Characteristics and Driving Mechanisms of Non-Grain Land Use in the Yangtze River Economic Belt, China
T2 - Land
AU - Wang, Bingyi
AU - Qiong, Ye
AU - Li, Long
AU - Liu, Wangbing
AU - Wang, Yuchun
AU - Ma, Ming
PY - 2025
DA - 2025/10/28
PB - MDPI
SP - 2149
IS - 11
VL - 14
SN - 2073-445X
ER -
BibTex |
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BibTex (до 50 авторов) Скопировать
@article{2025_Wang,
author = {Bingyi Wang and Ye Qiong and Long Li and Wangbing Liu and Yuchun Wang and Ming Ma},
title = {Spatial Correlation Network Characteristics and Driving Mechanisms of Non-Grain Land Use in the Yangtze River Economic Belt, China},
journal = {Land},
year = {2025},
volume = {14},
publisher = {MDPI},
month = {oct},
url = {https://www.mdpi.com/2073-445X/14/11/2149},
number = {11},
pages = {2149},
doi = {10.3390/land14112149}
}
MLA
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Wang, Bingyi, et al. “Spatial Correlation Network Characteristics and Driving Mechanisms of Non-Grain Land Use in the Yangtze River Economic Belt, China.” Land, vol. 14, no. 11, Oct. 2025, p. 2149. https://www.mdpi.com/2073-445X/14/11/2149.
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