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Agricultural credit and technical efficiency in Ghana: is there a nexus?
101
Citations
39
References
2016
Year
Unique DatasetRural EconomyEngineeringApplied EconomicsEconomic DevelopmentDevelopment EconomicsAgricultural EconomicsAgri-environmental PolicyAgricultural ProductionFarming SystemAgricultural ProductivityAgricultural EfficiencyAfrican DevelopmentAgricultural CreditEconomicsAgricultural ImpactAgricultural HistoryFinanceAgricultural SystemSustainable Agricultural IntensificationAgricultural ModelingBusinessFarming SystemsNatural Resource EconomicsTechnical EfficiencyCrop Intensification
Purpose – The purpose of this paper is to examine the impact of agricultural credit on technical efficiency of Ghanaian maize farmers using a unique dataset drawn from the database of Sub-Saharan Africa’s intensification of food crops agriculture (Afrint II) in 2008 period. Design/methodology/approach – In this study, a two-stage estimation procedure is employed to determine impact of agricultural credit on technical efficiency of Ghanaian maize farmers. The first stage utilized probit model while the second stage utilized stochastic frontier approach to estimate impact of credit on technical efficiency of Ghanaian maize farmers. Findings – The study found that farmers are producing below the frontier with average technical efficiency of 47 percent. Policy variables such as credit access; education, extension access and farm size played a stronger role in technical efficiency. Agricultural credit in particular increased technical efficiency by 3.8 percent. Research limitations/implications – The results should not be extended to the impact of agricultural credit on economic efficiency since the allocative efficiency component is not considered in this study. Also, caution should be taken in the interpretation of these results because the data could not permit the incorporation of all variables that might affect technical efficiency. Originality/value – The originality of the paper and its contribution to existing literature largely lies from the use of a unique dataset to find evidence of the impact of credit on efficiency in Ghana.
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