Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Data Envelopment Analysis (DEA) to Estimate Technical and Scale Efficiencies of Smallholder Pineapple Farmers in Ghana

Version 1 : Received: 1 March 2024 / Approved: 4 March 2024 / Online: 4 March 2024 (11:41:38 CET)

How to cite: Boakye, K.; Lee, Y.; Annor-Frempong, F.; Dadzie, S.; Salifu, I. Data Envelopment Analysis (DEA) to Estimate Technical and Scale Efficiencies of Smallholder Pineapple Farmers in Ghana. Preprints 2024, 2024030138. https://doi.org/10.20944/preprints202403.0138.v1 Boakye, K.; Lee, Y.; Annor-Frempong, F.; Dadzie, S.; Salifu, I. Data Envelopment Analysis (DEA) to Estimate Technical and Scale Efficiencies of Smallholder Pineapple Farmers in Ghana. Preprints 2024, 2024030138. https://doi.org/10.20944/preprints202403.0138.v1

Abstract

The study focused on the technical and scale efficiency of smallholder pineapple farmers in the Central Region of Ghana. The input-oriented Data Envelopment Analysis (DEA) was used to estimate technical, pure and scale efficiencies of the smallholder pineapple farmers, of which a random sampling procedure was used to select 320 respondents. The study revealed that the farmers were technically inefficient with mean technical efficiency under Constant Returns to Scale (CRS), pure efficiency under Variable Returns to Scale (VRS) and the Scale Efficiency levels of 0.505, 0.641 and 0.772, respectively, due to farmers’ inability to exploit fully the available technology while experiencing evident post-harvest losses resulting from low adoption of post-harvest technologies. Such findings are meaningful and could help the farming communities and relevant policymakers to understand the issues in farming production and hence undertake necessary actions to potentially improve farmers’ technical and scale efficiencies in the study area.

Keywords

Data Envelopment Analysis, Technical Efficiency, Scale Efficiency, Farming Production

Subject

Business, Economics and Management, Economics

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