2014Unpublished venueRequires access

ANALYSIS OF COLLECTIVE ACTION: THE CASE OF INDIGENOUS CHICKEN FARMERS FROM MAKUENI COUNTY, KENYA

David Michael Ochieng Ayieko, Eric Bett, Lucy W. Kabuage

Open publisher page 2 citations

Abstract

Farmer groups in the world provide farmers with economies of scale, access to information, credit and markets. These farmer groups are an important intervention in Africa, due to the structural adjustment programmes (SAPs) initiated in the eighties. As a result Kenya has experienced market liberalization and reorganization in agriculture services delivery. Consequently small scale farmers are constrained in production and marketing. However, few farmers in Makueni County belong to farmer groups. In addition there is little information on why this situation persists. Therefore the objectives of the study were to assess participation of farmer in groups and determine the effect of socioeconomic characteristics on this participation. A total of 130 households were sampled in a survey, using a multistage sampling technique. The data were collected using a structured questionnaire then analyzed using descriptive statistics and Tobit regression in STATA11. The results showed that:-  group activity, age of group, access to market information, sex of household head, education of household head, land size, off farm income and distance to the nearest market had a significant effect on joining groups. Policy must focus on financing groups, provision of market information and improvement of infrastructure.

About this research paper

What this paper is about

Farmer groups in the world provide farmers with economies of scale, access to information, credit and markets. These farmer groups are an important intervention in Africa, due to the structural adjustment programmes (SAPs) initiated in the eighties. As a result Kenya has experienced market liberalization and reorganization in agriculture services delivery. Consequently small scale farmers are constrained in production and marketing. However, few farmers in Makueni County belong to farmer groups. In addition there is little information on why this situation persists. Therefore the objectives of the study were to assess participation of farmer in groups and determine the effect of socioeconomic characteristics on this participation. A total of 130 households were sampled in a survey, using a multistage sampling technique. The data were collected using a structured questionnaire then analyzed using descriptive statistics and Tobit regression in STATA11. The results showed that:-  group activity, age of group, access to market information, sex of household head, education of household head, land size, off farm income and distance to the nearest market had a significant effect on joining groups. Policy must focus on financing groups, provision of market information and improvement of infrastructure.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Farmer groups in the world provide farmers with economies of scale, access to information, credit and markets. These farmer groups are an important intervention in Africa, due to the structural adjustment programmes (SAPs) initiated in the eighties. As a result Kenya has experienced market liberalization and reorganization in agriculture services delivery. Consequently small scale farmers are constrained in production and marketing. However, few farmers in Makueni County belong to farmer groups. In addition there is little information on why this situation persists. Therefore the objectives of the study were to assess participation of farmer in groups and determine the effect of socioeconomic characteristics on this participation. A total of 130 households were sampled in a survey, using a multistage sampling technique. The data were collected using a structured questionnaire then analyzed using descriptive statistics and Tobit regression in STATA11. The results showed that:-  group activity, age of group, access to market information, sex of household head, education of household head, land size, off farm income and distance to the nearest market had a significant effect on joining groups. Policy must focus on financing groups, provision of market information and improvement of infrastructure.

Key concepts: Tobit model, Descriptive statistics, Multistage sampling, Business, Scale (ratio), Market access, Socioeconomics, Indigenous

Related papers

Back to paper searchBrowse research topicsOriginal source
ANALYSIS OF COLLECTIVE ACTION: THE CASE OF INDIGENOUS CHICKEN FARMERS FROM MAKUENI COUNTY, KENYA — Research Paper | ScholarLens