Technical Efficiency and its Determinants in Smallholder Tea Production: Evidence from Nyamira and Bomet counties in Kenya

Perez A. Onono

Technical Efficiency and its Determinants in Smallholder Tea Production: Evidence from Nyamira and Bomet counties in Kenya

Perez A. Onono * §

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Kenyatta University

Technical Efficiency and its Determinants in Smallholder Tea Production: Evidence from Nyamira and Bomet counties in Kenya

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Abstract

The smallholder tea sub-sector in Kenya has enjoyed relative growth in acreage, output, and number of growers since its inception in the early 1960s, but productivity has remained low. There are huge differentials between actual and potential yields suggesting underlying production inefficiencies. This study estimated the level of technical efficiency and analyzed its determinants among tea farmers from two selected counties in Kenya. Using data from a sample of 525 farm households, the non-parametric data envelopment analysis was applied to estimate technical efficiency scores. The scores were then regressed on a set of explanatory variables to establish their influence on efficiency. The average efficiency score of 0.46 indicates that overall productivity in Kenya’s smallholder tea sub-sector is low but has a potential to increase if most of the farmers can adopt practices of the frontier farms. The intensity of family labor use, farm size, age of the tea farm, education level of the household head, access to extension services through the farmer field schools, and the sale of green leaf through alternative marketing channels have a significant influence on levels of efficiency.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Perez A. Onono. 2018. "Technical Efficiency and its Determinants in Smallholder Tea Production: Evidence from Nyamira and Bomet counties in Kenya". Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 18 (GJSFR Volume 18 Issue D3).

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GJSFR Volume 18 Issue D3

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-D Classification FOR Code: 070199

Submission ReceivedFebruary 24, 2018
Peer Review Double Blind
Handling Editor
Accepted March 23, 2018
Published April 5, 2018

Version of record

v1.2

Issue date

May 17, 2018

Language

English

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Article Matrices

Total Score: 147

Country: Kenya

Subject: Global Journal of Science Frontier Research

Authors: Josiah M. Ateka, Perez A. Onono, Martin Etyang (PhD/Dr. count: 0)

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Publish Date: 2018 04, Thu

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