The paradigm shift from value chains to value webs in the emerging bioeconomy has necessitated a review on how agricultural systems transit to value web production systems. This study examines how smallholders in the cassava system in Nigeria have been able to increase utilization of biomass in their production systems. Using a sample of 541 households, the study employed cluster analysis and ordered probit regression to examine the intensity of cassava utilization and the determinants of the intensity of utilization. The study found that over 50% of the respondents were classified as low-intensity utilization households, while ~13% were high-intensity utilization households. Land, social capital, farming experience, and asset ownership increased the probability of intensifying cassava utilization among smallholders. The study recommends strengthening assets acquisition, improving land quality and encouraging social capital development among smallholders.

There is an increasing need to improve value addition in order to get maximum utility from agricultural systems. Using a retrospective panel data from 482 cassava farmers covering the years 2015–2017, this study examined the effect of value addition on productivity of farmers in the cassava system in Nigeria. We analysed a non-parametric Data Envelopment Analysis to examine productivity across cassava production systems over the three year period. We also examined the impact of value addition on productivity using an endogenous switching regression to account for unobservables that determine the decision to add value and productivity of the farmers. The study found that cost and revenue outlays increased with value addition. Cassava farmers in general operated below the efficiency frontier, with total productivity declining over the 2015–2017 period. However, higher value addition farmers had better efficiency and non-reducing productivity in the periods studied. We found evidence of selection bias in the decision to add value and productivity of the farmers. The conditional and unconditional outcome estimates revealed positive gains in productivity with value addition, confirming the hypothesis that value addition increases farming households’ productivity. We recommend that essential services such as extension services, agricultural training, and ease of enterprise registration that drive agricultural value addition be made available to farmers.

Purpose The purpose of this paper is to examine the impact of e-wallet on farmer’s welfare in Nigeria. Design/methodology/approach Primary data were used to collect information on 81 users and 123 non-users of e-wallet system. Foster, Greer and Thorbecke (FGT) analysis was used to profile farmer’s poverty status, while propensity score matching (PSM) was used to assess the impact of e-wallet on welfare using per capita expenditure as its proxy. Findings The FGT analysis shows that poverty incidence, depth, and severity were found to be higher among non-users of e-wallet than its users. The PSM analysis showed that e-wallet had a positive impact on welfare; Rosenbaum sensitivity analysis revealed that the findings are sensitive to hidden bias due to unobserved characteristics. Research limitations/implications The relevance of matching method depends on data availability for the specific policy problem. Hence, the study is limited to the use of the PSM because of the limitation of household data availability to only a sample of farmers in Oyo State. Originality/value This paper examines the impact of the new system of input distribution (e-wallet) on farmer’s welfare.

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