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Factors influencing marketing channel choices for improved indigenous chicken farmers

Insights from Baringo, Kenya

Bibliographic Data

ID21295255
AuthorsEmmanuel Kiprotich Kiprop, Emmanuel Kiprop (0000-0003-2600-5996, Nanjing Agricultural University), Cedric Okinda (0000-0001-7887-4216, Nanjing Agricultural University), Asma Akter (0000-0002-6336-2768, Nanjing Agricultural University), Xianhui Geng (0000-0003-3998-7589, Nanjing Agricultural University)
Year2020
Volume122
Issue12
Pages3797-3813
Publication date2020-05-19
Open AccessYes
TypeARTICLE
VenueBritish Food Journal (JOURNAL)
Journal identifiersISSN: 0007-070X • E-ISSN: 1758-4108
PublisherEmerald (PUBLISHER)
DOI10.1108/bfj-11-2019-0841
OpenAlexW3028481235
LanguageEN
References cited26

Purpose Improved indigenous chicken is considered a sustainable agricultural practice with social, economic and environmental indicators. Therefore, the analysis of the choice of market channels is of considerable importance to farmers with reference to improved livelihoods and poverty alleviation in developing countries. The purpose of this study is to investigate the factors that influence market channel choices among improved indigenous chicken farmers in Baringo County and to rank the determinants according to their level of importance in influencing farmer's choice of marketing channels. Design/methodology/approach A multistage sampling technique was employed to collect data from 209 households for the study conducted between April and July 2019, out of which, 198 useful responses were obtained. Multinomial logit regression and neural network models were used to analyze the factors influencing market channel choice based on socioeconomic, demographic and farm characteristics. Findings It was established that group membership, education, market distance, transport costs, farm size, cost of information and bargain costs were statistically significant in the choice of market channels (wholesaler, brokers, processors and supermarkets). With the direct consumer as the base market choice. The cost of transport had the highest normalized importance in the prediction of a farmer's selection of market channels for both radial basis function (RBF) and multilayer perceptron (MLP) neural networks. However, flock attributes and age of household head had the least normalized importance in MLP and RBF, respectively. Research limitations/implications Due to the insufficiency of resources and time, this study only focused on a small part of the country (Baringo County). However, improved indigenous chicken farming is widely practiced in Kenya. Further studies can be carried out in other counties to validate the results of this study. Practical implications The outcome can be used in policy implementation involving improved indigenous chicken production in Kenya. Originality/value This study suggests the methods aimed at enhancing poultry sector in other counties in Kenya as well as other developing countries

Agribusiness · Agriculture · Business · Economic growth · Economics · Geography · Indigenous · Marketing channel · Multinomial logistic regression · Poverty · Statistics · Agricultural Innovations and Practices · Animal Nutrition and Physiology · Livestock and Poultry Management · Marketing

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Highly citedNo

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