Value Addition and Productivity Differentials in the Nigerian Cassava System

Abstract

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.

Factors Influencing Value Addition to Cashew Products Processed in the South-East Zone, Nigeria: A Multinomial Logistic Regression Approach

“…The finding disagrees with that of Kehinde and Aboaba [37] who reported that the processing experience of cassava processors in Southwest Nigeria is inversely related to value added cassava products. Similarly, Adeyemo and Okoruwa [38] reported that a higher processing experience decreases the prospect of adding value to cassava products. Meanwhile, the finding agrees with that of Okebiorun and Jatto [34] who found processing experience to be significant and positively correlated with the probability of value addition to cassava among women processors.…”

Does agricultural cooperative membership impact technical efficiency of maize production in Nigeria: An analysis correcting for biases from observed and unobserved attributes

“…The main aim of this paper is to examine the impact of agricultural cooperatives on TE of maize production. Previous studies that have estimated technical efficiencies have either used a non-parametric approach such as data envelopment analysis (DEA) [e.g., [ 41 , 42 ]] or a parametric approach such as stochastic production frontier (SPF) model [e.g., [ 18 , 43 ]]. However, the non-parametric DEA approach fails to account for stochastic errors and also attributes the shift from the efficiency frontier to inefficiency [ 44 , 45 ].…”

E-Agriculture Framework to Improve Agricultural Productivity: Literature Review

“…In this design, farmers receive agriculture advisory messages in both text and voice.  Framework for value addition and productivity differentials-This framework proposed by (Adeyemo & Okoruwa 2018) is designed to enable the farmers to predict the expected increase in productivity given their decisions to add value to their cropping activities.  Tomato expert system framework-This framework proposed by Dubey, Pandey, & Gautam (2013) provides a general guideline for building crop diagnosis solutions leveraging advancements in technology such as machine learning and artificial intelligence.…”