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This study aims to assess the effects of microfinance institution (MFI) services on the productivity of family farms in Cameroon, in the region of Mbam and Kim. It will be a question, therefore, of determining the level and determiners of the outputs of family farms, in particular those concerned by the cultures of cocoa, beneficiaries of the agricultural services of MFIs.

The authors use the Blinder (1973) and Oaxaca (1973) model of decomposition of the productivity differential between beneficiaries and non-beneficiaries of agricultural credits on a sample of 130 cocoa farming households and four MFIs of the same area between 2008 and 2011.

The yield gap between beneficiaries and non-beneficiaries of agricultural credits is estimated at 0.19 tons per hectare. This gap is explained positively by the financial aid variable, the farm size variable, which is significant in the explanation of the beneficiaries' level of returns and the constant term. On the other hand, all the socio-economic variables of the farmers contribute to reduce this gap of productivity.

This financial assistance from CVECA is essential to increase agricultural yields because it helps to cancel out some structural barriers. However, as this improvement in yields is only possible for large farms, the services of the MFIs would rather favor extensification policies. Nevertheless, the study results are limited by the negative effects of the socio-economic characteristics of the farmers on these yields, the study having been revealed without any selectivity bias.

This study seeks to reverse the trend that in rural areas, MFIs are financing agriculture to increase extensification rather than enhancing intensification in sub-Saharan Africa by challenging the role of MFI services in intensification.

Does MFIs agricultural credit influence the determinants of the efficiency of SFF which are socio-economic factors of the farmers but also agricultural endowments of family farms? This paper aims to study the contribution of MFI services on improving the technical efficiency of SFFs in Cameroon.

The stochastic frontier analysis (SFA) model permits the estimation of the technical efficiency indicators for beneficiaries and nonbeneficiaries of agricultural credits on a sample of 130 cocoa farming households and four MFIs of the same area between 2008 and 2011. The censored tobit model is used to assess the determinants of technical efficiency.

The results show that the SFF beneficiaries of agricultural credit have an average technical efficiency of 0.68 inferior to that of nonbeneficiaries (0.72) as expected. They are, respectively, at 0.32 and 0.28 of their full productive capacities. The results of the censored Tobit model show that socioeconomic characteristics of the producer such as age and gender explain negatively, while experience explains positively the technical efficiency of SFFs.

Although without any selectivity bias, this study indicates the essential character of the socioeconomic factors in the amplification of the role of the MFIs credit on the efficiency of SFFs.

Strategies to improve the efficiency of SFFs require an increase in MFI credits, primarily targeting young, experienced and female farmers.

This study examines the efficiency of SFFs by highlighting the interaction between the socio-economic factors of farmers and the credit of MFIs. It also points to the problem of monitoring the implementation of agricultural financing.