| Sumario: | Fish farming is promoted in the Republic of Benin to meet the demands of fish con sumption and increase exports to neighbouring countries. Targeting fish farm policy
interventions to increase the efficiency of heterogeneous fish farming systems is a
challenge. Farm type delineation allows for simplifying the diversity in fish farming
systems. Multivariate statistical techniques combined with the Calinski and Harabasz
pseudo F statistic and bootstrapping were applied to determine the realistic num ber of fish farm types. Four fish farm types were identified and characterised based
on farm intensity, species diversification, and the management capacity of operators.
Furthermore, profits and both labour and capital productivity increased continuously
from the extensive fish farms to the semi-intensive farms. They also vary widely within
farm types across the country. These farm types may be supported by appropriate fish
farming promotion policy interventions. Most importantly, training programs must be
tailored to each farm type to strengthen the technical and managerial capacity of the
fish farmers.
KEYWORDS
bootstrap, Calinski and Harabasz pseudo F statistic, cluster analysis, fish farm typology, Jaccard
coefficient, typology stability
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