Evaluating the heterogeneous impacts of adoption of climate-smart agricultural technologies on rural households' welfare in Mali

Open Access Journal; Published online: 04 Nov 2022Climate change is negatively affecting agricultural production in the Sahel region. Climate-Smart Agricultural Technologies (CSATs) are disseminated to reduce these negative effects, and particularly those on resource-poor farm households. This article investigates the distributional impacts of the adoption of CSAT on-farm households’ welfare using a dataset that covers four regions, 32 communes, 320 villages, and 2240 households in Mali. Using an instrumental variable quantile treatment effects model, the paper addresses the potential endogeneity arising from the selection bias and the heterogeneity of the effect across the quantiles of the outcome variables’ distribution. The results show that the adoption of CSAT is positively associated with improved households’ welfare. The farmers’ decision to adopt any CSAT is influenced by access to credit, contact with extension agents, participation in training, access to information through the television, and being a member of any organization such as a cooperative society. Moreover, the effect of the adoption of CSAT on household welfare varies across the different households. In particular, the results show that the impact of the adoption of CSAT on households’ welfare is generally higher for the poorest (farmers located at the bottom tail of the distribution) end of the welfare distribution. The findings, therefore, highlight the pro-poor impact of the adoption of CSAT in the rural Malian context, as well as the need to tailor the CSAT interventions toward specific socio-economic segments of the rural population in Mali

Assessing the extent and determinants of adoption of improved cassava varieties in southwestern Nigeria

This paper investigates the determinants of adoption of improved cassava varieties in south-western Nigeria. The data come from a farm household survey of 841 households selected using a three-stage stratified random sampiling procedure. The data collection was conducted in 2011 by the International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria. Empirical estimates of a Double-Hurdle model revealed that adoption increases with the age of the household head and is influenced by the gender of the household head, hired labour, cultivated land, and access to credit. The results further showed that the intensity of adoption is influenced by the hired labour and farm size; access to information about the improved cassava varieties is determined by the age, gender, and level of education of the household head, and by off-farm income

Does youth participation in the farming program impact farm productivity and household welfare? Evidence from Nigeria

One significant issue in the Global South, particularly in sub-Saharan Africa, is youth unemployment. This is a result of the aging and shrinking agriculture industry, increased unemployment rates mixed with a sizable unskilled workforce, and rapid population expansion. Studies have shown that farming programs, when supported by increased investment and regulatory frameworks, provide opportunities for meaningful employment for many young people. This study attempts to estimate the impact of youth participation in farming programs on farm productivity and welfare using rice-growing household data from northern Nigeria. We used propensity score matching (PSM) and endogenous switching regression (ESR) to address biases that may arise from both observed and unobserved factors. Our results show that age, education, household size, farm size, extension, access to credit, and membership of a social group are positive and significantly associated with youth participation in farming programs. The outcome demonstrates that participants fare better than non-participants in terms of farm productivity and welfare status. Furthermore, youth participation in farming programs has implications for heterogeneity within the participant group, which depends on socio-economic characteristics such as access to finance, association membership, and education, emphasizing the need for specific interventions and focusing on particular youth groups. Therefore, access to credit through relevant agencies with low interest rates and flexible payment options, strengthening youth organization could encourage participation in farming programs and job opportunities for the prosperity of the rural economy