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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.

Sec. Land, Livelihoods and Food Security

Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1614493

Spatiotemporal Patterns and Determinants of Agricultural Resilience in the Yellow River Basin

Provisionally accepted
  • Shandong University of Technology, Zibo, Shandong, China

The final, formatted version of the article will be published soon.

This study aims to assess the spatiotemporal evolution and influencing factors of agricultural resilience across 43 prefecture-level cities in the Yellow River Basin from 2012 to 2022. Using the entropy method, weights were assigned to selected indicators, while Moran's Index, the Gini coefficient, and Kernel density estimation were applied to analyze spatial patterns, regional disparities, and temporal trends.Additionally, the obstacle degree model and the spatial Durbin model were employed to identify internal and external drivers of agricultural resilience. The results show a steady upward trend in agricultural resilience, with clear spatial agglomeration and spillover effects. While overall disparities have narrowed over time, inter-regional differences-particularly between upstream and other regions-remain significant. Key internal constraints include low agricultural insurance coverage, limited effective irrigation, and low land productivity. In contrast, external factors such as urbanization, economic development, and skilled agricultural labor positively influence resilience, whereas industrialization exerts a negative effect. Based on these findings, the study recommends targeted regional interventions, enhanced spatial coordination, and improved cross-regional resource allocation to promote sustainable and integrated agricultural development in the Yellow River Basin.

Keywords: Agricultural resilience, Yellow River Basin, spatial Durbin model, Food security, Rural revitalization

Received: 25 Apr 2025; Accepted: 11 Jul 2025.

Copyright: © 2025 Ma, Wu and Huo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Shilie Wu, Shandong University of Technology, Zibo, 255049, Shandong, China
Xiaoqian Huo, Shandong University of Technology, Zibo, 255049, Shandong, China

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