Assessing the impact of the adoption of agroforestry technology on food production and poverty reduction among farming households in Oyo State, Nigeria

Abstract

Licensed under a Creative Commons Attribution 4.0 International License This study determines the impact of agroforestry practices on food production, income generation and poverty reduction among farming households in Oyo State, Nigeria. A multi-stage sampling technique was used to select the respondents. Both descriptive statistics such as frequencies and percentages as well as inferential statistics such as Propensity Score Matching (PSM) and Foster Greer Thorbecke (FGT) analysis were used in the study. It was discovered that the propensity score distribution and common support for propensity score estimation shows the results from the covariate balancing tests both before and after matching in which the treatment (adopters) and comparison (non-adopters) groups are said to be balanced. The result of the impact of the adoption of agroforestry practices on farmers' income from the PSM analysis shows that the adoption produces a positive and significant impact on the farmers' income, while the result of the impact of the adoption on farmers' output was found to be negative, though not significant. This could be attributed to improper adoption or practices of the technologies by the farmers. It was also discovered that about 27% of the adopters fell below the poverty line ($183.25) and were therefore regarded as poor while about 67% of the non-adopters fell below the poverty line ($102.21) and can therefore be described as poor. FGT poverty index was then used to show the extent of poverty among the farming households and it was found that the adopters of agroforestry technology were faring better than the non-adopters of agroforestry technology.

Effect of Foreign Farmers’ Presence on Poverty Status of Rural Farming Households in Nigeria

“…Food expenditure and total crop output are significant with a negative relationship with the total income of the contact farmers at 5 and 1%, respectively. These claims are in consonance with the findings of Idumah et al (2021) and Ginting et al (2020).…”

Adoption of Agroforestry Practices in and around the Luki Biosphere Reserve in the Democratic Republic of the Congo

“…The results of this study are in accord with the work of [28], who argued that learning increases farmers' perceptions of and preferences for innovation adoption. Yet, studies conducted by [35,36] showed that the percentage of agroforestry adopters is lower than that of non-adopters. Several constraints can hinder adoption [35], including the lack of willingness to plant trees and wait for two years to achieve the benefits of this innovative technology.…”

“…The last group can be used as caterpillar host species or for apiforestry (beekeeping in a treed environment) and aquaforestry (fish ponds or rice paddies dotted with trees). For [36], the constraints mitigating the adoption of agroforestry technologies by farmers include, among others, insufficient land for tree planting, the illegal felling of trees, the long developmental period of trees, the lack of technical assistance, the lack of planting materials, the lack of knowledge and skills, as well as competition between trees and arable crops on farmland.…”

Effect of agroforestry technology on yield of maize in Sapoba Forest Reserve, Orhionmwon Local Government Area, Edo State, Nigeria

“…The agroforestry was introduced to protect agricultural lands from soil erosion and degradation (Idumah et al, 2021), while ensuring yields of crops for sustainable food system. It is a technique to managing agro-ecosystems for improved and sustained productivity, increased profits and food security while preserving and enhancing the resource base and the environment (FAO, 2014;Vaiknoras, 2015;Duffy et al, 2021).…”