International Journal of Applied Science and Technology

ISSN 2221-0997 (Print), 2221-1004 (Online) 10.30845/ijast

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Original Research Article | Open Access | Peer Reviewed update icon Check for updates

Integration of Rural Insurance Data with Agricultural Zoning Data in Climate Risk Analysis: Case Study in Southern Brazil

Luciana Justina da Silva Email , Anselmo Chaves Neto Email , and Gilson Martins Email
Abstract This paper presents a model to integrate agricultural zoning data into insurance risk analyses, focusing on the Southern region of Brazil. The methodology uses information from the Agricultural Zoning of Climatic Risk (ZARC) and insurance data provided by the Ministry of Agriculture, converting them into distributional variables for a Bayesian model. This allows detailed risk assessments, considering optimistic and pessimistic scenarios based on soil data from ZARC. These scenarios are combined with insurance information to generate more accurate risk distributions. The method allows for the comparison of risks between municipalities and agricultural crops, such as soybean and wheat, contributing to a robust risk classification in the Southern region. The proposed approach can significantly improve risk management in the agricultural sector, benefiting insurance companies, government and private agencies.Future studies could extend this methodology to conduct comparative analyses among insurance providers, assess risk dynamics in structured credit and insurance operations, and evaluate agricultural risks at the farm level. In a broader context, this research contributes to the development of a robust analytical framework that enhances risk assessment and supports more informed decision-making in the agricultural sector
Full Text: PDF   |   DOI: https://doi.org/10.30845/ijast.v14p1
Article History:
Received: 11 February 2025 | Accepted: 6 March 2025 | Published: 23 March 2025
Reviewer(s): Dr. Arshad Hussain Bhat, Amity Institute of Liberal Arts, Amity University Mumbai, India; ORCID iD: https://orcid.org/0000-0002-9689-2351.
Email: [email protected] Dr. George Lukwago, Senior Principal Research Officer, National Agricultural Research Organization (NARO), Uganda; ORCID iD: https://orcid.org/0009-0005-7807-0134.
Email: [email protected]
Address for Correspondence: Luciana Justina da Silva, Postgraduate Program in Numerical Methods in Engineering – PPGMNE, Universidade Federal do Paraná, Centro Politécnico - PO Box 19081 –CEP 81531-990, Curitiba, PR, Brasil.
[email protected]
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