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This study analyzes the determinants of inequalities of access to landed property between men and women in Cameroon. The study is based on data from the third Cameroon Household Survey (ECAM 3, 2007). We apply the nonlinear model of decomposition of inequalities of Fairlie (199 9;2005). The results obtained show: a negative contribution of variables like income, the level of education, the size of the household, the branch of industry and the religion. These variables contribute to discrimination against women as concerns access to landed property. They reinforce the deviations in the detention title documents between men and women.

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This paper evaluates productivity in terms of housing delivery levels of the housing sector in Cameroon. The data used is from the Centre for Affordable Housing Finance in Africa (CAHF) and the Ministry of Housing and Urban Development. These data relate to: the number of dwellings delivered during the study period; the amount of hours of work required to produce a housing unit; the unit cost of labour; the cost of producing a housing unit; and the area used to produce a housing unit. The technique of analysis was Data Envelopment Analysis (DEA). The level of productivity is evaluated using the Malmquist index. The results revealed that between 2010 and 2018 the housing sector in Cameroon produced an average of 13,126 houses per year. This production gives an average cost per housing unit of $39,612. The study found a fall in total productivity of factors (labour and capital factors) of the order of 24.5% for the period considered. The fall observed is explained by a decrease in both technical efficiency and technological progress. To increase the productivity of the housing sector in Cameroon two types of measures are possible. Firstly, a better use of resources where particular attention is paid to the factors limiting productivity growth, namely the cost of labour, capital and materials. Secondly, use a skilled workforce and implement incentives for innovation based on the use of local materials and better operational organisation. It is argued that the incorporation of these suggestions would make it possible to increase the productive capacities of housing firms in Cameroon.

This article studies the gap of access to social housing between the poor and the non poor in Cameroon. The data used is from the third Cameroonian survey of households (ECAM, 2007). We use the non linear decomposition model of inequalities. The results show a strong discrimination with regards to poor households. The differences in the access to social housing between the poor and the non poor are highly influenced by the distribution of variables such as: the residential area (61.22%), the income (34.18%), age (23,50%), the socioprofessional category (22.39%) and the sector of activity (21.11%). These results put into question public policies on social housing.