Page 39 - Azerbaijan State University of Economics

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

Generally, the variables used in this study will be captured at community level (cluster
level) to avoid individual effects given that climate change is a global issue.

DATA PRESENTATION
To achieve our objectives, we will use secondary data from the 2014 Cameroon
Household Survey 2014 (ECAM4), which was compiled by the National Institute of
Statistics (NIS). The main objective of the fourth Cameroon household survey
(ECAM4) is to provide indicators on living conditions of populations and to update
the poverty profile. The survey is targeting a sample of 12 897 households broken
down into 1 024 clusters and data collection is carried out through a questionnaire
made up of 17 sections. It is the fourth of its kind to be undertaken in Cameroon after
those of 1996, 2001 and 2007. It is part of the process to update the poverty profile,
the monitoring and evaluation of the national strategy for growth and employment and
the progress towards achieving the Millennium Development Goals (MDG).

The data can be used to study all aspects of poverty at national and regional levels;
evaluating the effects of macro-economic policies; evaluate the demand for education
and identify its principal determinants; evaluate internal tourism and analyse the labour
market in Cameroon. it also provides information on socioeconomic status, health,
environment, agriculture, infrastructure etc. This is therefore preferred as it is the most
recent data base that contains all the components involved in this study. As such, data
on the variables involved in the study will be extracted from the ECAM4 of the NIS.
As concerning measurement issues, following World Bank (2012), in the context of this
study, women empowerment is therefore constructed as a single indicator using the
variables that directly influence woman such as: mother received formal education,
mother has received technical\professional training, receives assistance from friends
and family, support from religious group, is a shareholder and belongs to a professional
or solidarity group. These variables are used to compute a single indicator for women
empowerment using multiple correspondence analyses. Agricultural production will be
captured in terms of quantity/kg of crops produced per year.

PRESENTATION OF FINDINGS
The results of the study is presented in an orderly manner following the order of the
objectives: The result is presented and discuss as: the synopsis of women
empowerment indicator, summary descriptive statistics, the reduced form estimators
of women empowerment, the contribution of women empowerment to agricultural
production and finally results of the heterogeneity effect of women empowerment on
agricultural production by marital status of women.

39