Bayesian Technical Efficiency Analysis Of Groundnut Production In Ghana

D. Chakuri, F.E. Asem and E.E. Onumah

No 387596, Department of Agricultural Economics and Agribusiness from University of Ghana

Abstract: This paper considered Bayesian Stochastic Frontier Model to analyse technical efficiency and their determinants of groundnut farmers in Ghana. The paper used a cross-sectional data of three-hundred (300) observations to obtain posterior distributions of the farmers’ technical efficiency levels. All computations were done using Markov Chain Monte Carlo methods (MCMC). Results revealed that the groundnut farmers produce at an increasing return to scale of 1.10. Average technical efficiency of the farmers was found to be 70.5%, ranging from a minimum of 13.0% to a maximum of 95.1%. Frequency of extension visit, educational level and gender of the farmers were identified to significantly explain inefficiency of the farmers. The paper concluded that groundnut farmers in the northern part of Ghana are operating in the first stage of the production function and could increase their frontier output by 29.5%.

Keywords: Financial; Economics (search for similar items in EconPapers)
Pages: 16
Date: 2022-05-02
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/387596/files/B ... ion%20In%20Ghana.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:ugaeab:387596

DOI: 10.22004/ag.econ.387596

Access Statistics for this paper

More papers in Department of Agricultural Economics and Agribusiness from University of Ghana Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().