A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Determinants Influencing Cocoa Farmers’ Satisfaction with Input Credit in the Nawa Region of Côte d’Ivoire
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.
Determinants Influencing Cocoa Farmers’ Satisfaction with Input Credit in the Nawa Region of Côte d’Ivoire
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.
Determinants Influencing Cocoa Farmers’ Satisfaction with Input Credit in the Nawa Region of Côte d’Ivoire
Yao Dinard Kouadio (author) / Amètépé Nathanaël Beauclair Anani (author) / Bonoua Faye (author) / Yadong Fan (author)
2023
Article (Journal)
Electronic Resource
Unknown
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