Modelling Options for Policy Impact Analysis on African Dairy Farms
Resumen
Studies on the priorities for agricultural research in Eastern and Central
Africa concluded that milk is the most important commodity for research and
development in the region, based on its potential contribution to the agricultural
GDP. It has been presumed that, the right policies, marketing systems and technical
support must be sought for dairy development in Africa. In order to determine the
right development pattern, appropriate analytical tools must be applied. The TIPICAL
(Technology Impact Policy Impact model) was used to analyse the impact of
different policies on two typical dairy farming systems in Uganda, which account
for more than 70% of milk produced in the country. Seven influential policy areas
were also identified: provision of veterinary services, consumption promotion,
marketing promotion, input provision, credit access improvement, milk quality
improvement and genetic improvement. In general, the policy impacts are very little
on farms with local cows but can be magnified up to threefold, if the farms have
graded cows. Policies which improve farmers’ accessibility to markets have the
greatest impacts. The results obtained from this model were compared to those
using the EXTRAPOLATE model. This comparison shows that both models could
complement each other in analysing policy impacts on African dairy farms.
However, differences in results from the models indicate that more focus should be
made on farmers’ willingness to adopt new technology.
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