Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation

Rural credit policies have a strong impact on food production and food security. The attribution of credit policies to agricultural production is one of the main problems preventing the guarantee of agricultural expansion. In this work, we conduct family typology analysis applied to a set of researc...

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Bibliographic Details
Published in:Agriculture (Basel) Vol. 13; no. 5; p. 935
Main Authors: Araújo, Adolfo Vicente, Mota, Caroline, Siraj, Sajid
Format: Journal Article
Language:English
Published: Basel MDPI AG 24.04.2023
Subjects:
Agricultural cooperatives
Agricultural economics
Agricultural production
Agriculture
Beneficiaries
Criteria
criteria analysis
Economic aspects
Economic development
Economic growth
family farming
Family farms
Farmers
Food production
Food security
Food supply
Funding
Genetic algorithms
genetic programming
Households
Keywords
Lines of credit
machine learning
Policies
Private banking
Rural areas
rural credit
Systematic review
Typology
Brazil
ISSN:2077-0472, 2077-0472
Online Access:Get full text
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Summary:Rural credit policies have a strong impact on food production and food security. The attribution of credit policies to agricultural production is one of the main problems preventing the guarantee of agricultural expansion. In this work, we conduct family typology analysis applied to a set of research data to characterize different regions. Through genetic programming, a model was developed using user-defined terms to identify the importance and priority of each criterion used for each region. Access to credit results in economic growth and provides greater income for family farmers, as observed by the results obtained in the model for the Sul region. The Nordeste region indicates that the cost criterion is relevant, and according to previous studies, the Nordeste region has the highest number of family farming households and is also the region with the lowest economic growth. An important aspect discovered by this research is that the allocation of rural credit is not ideal. Another important aspect of the research is the challenge of capturing the degree of diversity across different regions, and the typology is limited in its ability to accurately represent all variations. Therefore, it was possible to characterize how credit is distributed across the country and the main factors that can influence access to credit.
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ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture13050935