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What Influences Rice Farmers’ Choices of Credit Sources in Côte d’Ivoire? An Econometric Analysis using the Multinomial Conditional Logit Model

Bibliographic Data

ID12672249
AuthorsN’Banan Ouattara (0000-0002-8792-6126, Huazhong Agricultural University, corresponding author), Xueping Xiong (0000-0001-7412-3853, Huazhong Agricultural University), Moussa Bakayoko (Agence pour le Développement de la Filière Riz (ADERIZ), Abidjan, Côte d’Ivoire), Trazié Bertrand Athanase Youan Bi (Centre Suisse de Recherches Scientifiques en Côte d’Ivoire, Abidjan, Côte D’Ivoire UFR Sciences Économiques et Développement, Université Alassane Ouattara, Bouaké, Côte d’Ivoire), Dessalegn Anshiso Sedebo (0000-0002-3122-0511, Huazhong Agricultural University), Zié Ballo (UFR Sciences Économiques et Gestion, Université Félix Houphouët-Boigny, Abidjan, Côte d’Ivoire)
Year2022
Volume22
Issue2
Pages149-173
Publication date2022-01-09
Open AccessYes
TypeARTICLE
VenueProgress in Development Studies (JOURNAL)
Journal identifiersISSN: 1464-9934 • E-ISSN: 1477-027X
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14649934211066453
OpenAlexW4205479487
LanguageEN
Citations received1
References cited41

In Côte d’Ivoire, the low participation of smallholder farmers in the credit market remains a matter of concern. This study examines the key determinants of rice farmers’ participation in the credit market. We use a Multinomial Conditional Logit model to consider the characteristics related to the use of different credit sources. A total of 588 rice farmers were randomly sampled from seven rice areas. Our findings reveal that gender, age, education level, experience in rice farming, rice plot size, lowland rice farming, extension contact, membership of a farmer-based organization, marketing of paddy rice, and off-farm income significantly influence the use of different credit sources. While credit requirements such as saving plus collateral, kinship/friendship, membership, favoured client, loan maturity, and the distance between borrowers and lenders are credit source-specific variables that significantly determine rice farmers’ choices between different credit sources. These empirical results show that in addition to farmer-specific variables, policymakers should consider the characteristics of credit sources for developing a credit market suitable for smallholder farmers

Agribusiness · Agricultural economics · Agricultural science · Agriculture · Business · Collateral · Credit history · Economics · Geography · Loan · Multinomial logistic regression · Statistics · Agricultural Innovations and Practices · Land Rights and Reforms · Mathematics · Microfinance and Financial Inclusion · Finance

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Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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