Optimizing Costs: How Biosecurity Measures Transform Smallholder Poultry Economics
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Date
2024-08-07Author
Otieno, W. A.
Nyikal, R. A.
Mbogoh, S. G.
Rao, E. J.
Type
PresentationLanguage
en_USMetadata
Show full item recordAbstract
Attempts to manage poultry diseases through clinical treatment are both costly and increase the
risk of antimicrobial resistance (AMR). This study was motivated by the need to tackle the dual
challenge of diseases leading to AMR and low poultry productivity in Sub-Saharan Africa. It
assesses the cost efficiency of farmers who use varying levels of biosecurity measures. We employ
a three-step estimation procedure: first, a latent class analysis (LCA) model to describe adoption
patterns. Secondly, a stochastic frontier analysis is used to generate cost efficiency scores and
inefficiency effects. Lastly, a one-way ANOVA is used to compare cost efficiency by adoption
categories. The LCA model reveals three uptake patterns for biosecurity measures with low,
moderate, and high adoption behaviors. The average cost efficiency scores are 49.5%, 61.6%, and
68.6%, respectively, for the low, moderate, and high adoption categories. The overall score of
60.4% indicates that poultry farmers in Nyanza are largely cost-efficient. We demonstrate from
the observed pattern that there is room to improve cost performance through increased use of
biosecurity measures. Years of experience in poultry farming and larger stock sizes reduce farm
cost inefficiency. These findings form the basis for the promotion of biosecurity measures
URI
https://ageconsearch.umn.edu/record/344298/?v=pdfhttp://erepository.uonbi.ac.ke/handle/11295/166828
Citation
Otieno, W. A., Nyikal, R. A., Mbogoh, S. G., & Rao, E. J. (2024). Optimizing Costs: How Biosecurity Measures Transform Smallholder Poultry Economics.Publisher
ICAE