Digital pathways to resilience: Assessing the impact of digitalization on agricultural production resilience in China

IF 5.5 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2025-04-01 Epub Date: 2025-02-18 DOI:10.1016/j.chieco.2025.102375
Yuke Luo , Shiyuan Liu , Yang Zhang , Miao Zeng , Dandi Zhao
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Abstract

Agricultural production, a cornerstone of human activity, is facing mounting challenges from instability and uncertainty. This study examines the impact of digitalization on the resilience of agricultural production in China, developing an innovative probabilistic framework able to assess agricultural resilience at the county level. The proposed model measures resilience as the likelihood of agricultural systems maintaining output above a defined baseline under uncertain conditions. Based on panel data of 1766 counties in China, this study reveals an inverted U-shaped relationship between digitalization and resilience. Specifically, whereas moderate digitalization enhances resilience, excessive digitalization introduces vulnerabilities. Mechanism analysis shows that digitalization drives rural income growth and optimizes factor utilization, but excessive digitalization widens income disparities and triggers resource outflows from agriculture. Results also show that new agricultural operating entities can mitigate the adverse effects of excessive digitalization by fostering collective action. These findings deepen our understanding of the complex mechanisms underlying agricultural digital transformation and offer practical insights for promoting resilience through balanced digitalization.
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韧性的数字化途径:评估数字化对中国农业生产韧性的影响
农业生产作为人类活动的基石,正面临日益严峻的不稳定和不确定性挑战。本研究考察了数字化对中国农业生产弹性的影响,开发了一个能够评估县级农业弹性的创新概率框架。所提出的模型将弹性衡量为农业系统在不确定条件下将产出维持在规定基线以上的可能性。基于中国1766个县域的面板数据,本研究揭示了数字化与韧性之间的倒u型关系。具体来说,虽然适度的数字化增强了弹性,但过度的数字化会引入脆弱性。机制分析表明,数字化促进了农村收入增长,优化了要素利用,但过度数字化扩大了收入差距,引发了农业资源外流。结果还表明,新的农业经营主体可以通过促进集体行动来缓解过度数字化的不利影响。这些发现加深了我们对农业数字化转型背后复杂机制的理解,并为通过平衡数字化提高韧性提供了实际见解。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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