Determinants Influencing Cocoa Farmers’ Satisfaction with Input Credit in the Nawa Region of Côte d’Ivoire

Yao Dinard Kouadio, Amètépé Nathanaël Beauclair Anani, Bonoua Faye and Yadong Fan ()
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Yao Dinard Kouadio: School of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Amètépé Nathanaël Beauclair Anani: School of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Bonoua Faye: School of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Yadong Fan: School of Economics and Management, Northeast Agricultural University, Harbin 150030, China

Sustainability, 2023, vol. 15, issue 14, 1-17

Abstract: Assessing farmers’ satisfaction with Input Credit (IC) is essential for agricultural modernization in Sub-Saharan African countries. Therefore, based on farmers’ socio-economics data, this study aimed to determine the potential factors influencing farmers’ satisfaction with IC. The data were collected through a questionnaire from a random sample of 311 farmers in the Nawa region of southwestern Côte d’Ivoire in November 2022. Farmers rated constraints in the use of IC on three main indicators: (1) availability of inputs, (2) accessibility, and (3) credit repayment conditions. In addition to the descriptive statistics, a logistic regression model was constructed to compute the results using Stata 17.0 software. The main findings of descriptive statistics showed that 61.97% of the farmers were dissatisfied with using IC, while 38.03% were satisfied. The results also indicated that about 61.15% of farmers were constrained by credit services for inputs, compared to 38.85%. The logistic regression results revealed that the factors that significantly influence farmers’ satisfaction were annual production required and the number of years (at 1%) of IC use, training programs for farmers, farm size, input price (at 10%), and age (at 5%). Accordingly, cacao production in Côte d’Ivoire still faces multiple and complex factors. So, the results provide practical implications for policymakers and innovators to support smallholder farmers in providing high-quality technology innovation adoption programs.

Keywords: socioeconomic determinants; cocoa farming; satisfaction level; input credit technology; logistic regression model; Côte d’Ivoire (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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