ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Climate-Smart Food Systems
This article is part of the Research TopicBuilding Resilience Through Sustainability: Innovative Strategies In Agricultural SystemsView all 32 articles
Enhancing Agricultural Economic Resilience in China: A Spatio-Temporal and Multidimensional Assessment under Compound Shocks
Provisionally accepted
Han Yu
Yingnan Liang*- Dalian Polytechnic University, Dalian, China
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Amid escalating compound shocks that threaten global agricultural sustainability, this study establishes a multidimensional framework to systematically evaluate the spatiotemporal evolution and underlying mechanisms of agricultural economic resilience across 31 provinces in China from 2010 to 2022. The results indicate a consistent improvement in provincial resilience levels (ranging from 0.1 to 0.4), accompanied by a distinct clustering pattern in central China, whereas the western regions remain persistently vulnerable. Spatial autocorrelation analysis reveals a dynamic “hotspot–coldspot” configuration, with interregional disparities serving as the main source of overall inequality. Econometric analysis identifies agricultural mechanization, rural economic revitalization, educational progress, and targeted fiscal support as interacting factors that collectively enhance agricultural resilience. These findings offer empirically grounded, context-specific policy implications for building shock-resistant agricultural systems capable of maintaining long-term food security, thereby contributing to the broader discourse on agricultural resilience amid environmental and economic uncertainty.
Keywords: agricultural economic resilience, Spatial-temporal dynamics, sustainability, geospatial analysis, China
Received: 28 Aug 2025; Accepted: 24 Nov 2025.
Copyright: © 2025 Yu and Liang. 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: Yingnan Liang
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