The impact of natural disasters on agricultural credit risk: A theoretical model and empirical test

IF 6.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-02-01 Epub Date: 2024-12-28 DOI:10.1016/j.cie.2024.110846
Qianting Ma , Weizhong Wang , Ruiqi Leng , Muhammet Deveci , Renjia Liu , Dursun Delen
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Abstract

Natural disasters exert a profound influence on agricultural production and the stable development of rural financial systems. This paper utilizes a multi-agent modeling approach to construct a theoretical framework for understanding the transmission of agricultural credit risk in the context of natural disasters, and empirically examines the underlying mechanisms. The findings reveal several key insights. First, natural disasters significantly escalate credit risk in the agricultural sector. Second, the maturity of agricultural insurance infrastructure plays a critical role in mitigating the impact of natural disasters on agricultural credit risk. Finally, a well-developed agricultural insurance system is essential for mitigating the adverse effects of natural disasters on agricultural credit risk. These findings suggest that accelerating the development of agricultural insurance, particularly in regions prone to natural disasters, could serve as an effective strategy for managing and containing agricultural credit risk.
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自然灾害对农业信贷风险的影响:理论模型与实证检验
自然灾害对农业生产和农村金融体系的稳定发展有着深刻的影响。本文运用多智能体建模方法构建了理解自然灾害背景下农业信贷风险传导的理论框架,并对其传导机制进行了实证检验。研究结果揭示了几个关键的见解。首先,自然灾害大大加剧了农业部门的信贷风险。第二,农业保险基础设施的成熟度对缓解自然灾害对农业信贷风险的影响起着至关重要的作用。最后,完善的农业保险制度对于减轻自然灾害对农业信贷风险的不利影响至关重要。这些发现表明,加快农业保险的发展,特别是在易受自然灾害影响的地区,可以作为管理和遏制农业信贷风险的有效战略。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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