Page 35 - Azerbaijan State University of Economics

Mbu Daniel Tambi, Mah-Soh Glennice Fosah: Econometric Modelling of Women
Empowerment and Agricultural Production in Cameroon

His findings also revealed that about 70% of farm work is performed by women but
these women farmers do not have equal access to productive resources which
significantly limits their potential in enhancing productivity. Wouterse (2015) carried
out a study on empowerment and agricultural production: evidence from rural
households in Niger to assess the role of empowerment in agricultural production.
Using new household- and individual-level Women’s Empowerment in Agriculture
Index data from Niger and regression analysis, it was observed that Women’s
Empowerment in Agriculture Index indicates that access to land is one important
dimension of empowerment. In assessing the role of empowerment in agricultural
production, his results showed that empowerment is important for agricultural
production and those households in which adult individuals are more empowered are
more productive. He concluded that other and possibly more effective pathways to
agrarian intensification exist and important agricultural productivity gains could be
made by empowering men and women in rural households.

Tambi, et al (2017) investigated the effects of women in agricultural production on food
security in rural Cameroon, using the instrumental variable (2SLS) model and 2011
Demographic and Health survey data collected by the government’s statistics office and
Department of statistics of the Ministry of Agriculture and Rural Development. The results
from their analysis showed that women in agricultural production are associated positively
with food security, overall. Also, other variables that are associated significantly with food
security in rural Cameroon are maternal participation in the labour market, mother’s
education, family size and father’s presence in the household. Abrha (2015) in investigating
the factors affecting agricultural production of farm households in the National Regional
State of Tigray, Ethiopia used primary sources of data which included farm household
surveys, focus group discussions and key informant interviews. His farm income model
result showed that landholding size, possession of oxen, amount of fertilizer, improved
seeds, irrigation, soil quality, village distance to the district market, average distance of plots
from the homestead and crop rotation were significant determinant variables affecting
agricultural production. It was also observed that farmers engaged in off-farm activities to
fulfil the cash requirements in credit constrained conditions. The study recommended that
if farmers are to use chemical fertilizers, they should be supplied with High Yielding
Varieties and enough water through access to irrigation and farmers should be allowed to
have long term off-farm employment to augment the farming sector.

Nyako, (2013) analysed the relationship between household heads’ level of education
and food security in Nigeria. He used regression models to control for a wide range
of individual characteristics, household characteristics and community characteristics
that were used to investigate this relationship.

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