Factors Driving the Adoption and Use Extent of Sustainable Land Management Practices in South Africa

Oduniyi, Oluwaseun Samuel

doi:10.1007/s43615-021-00119-9

Cited by 11 publications

(13 citation statements)

References 37 publications

(36 reference statements)

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“…As per these authors, older household heads are probably physically weaker and more resistant to change and hence less interested in adopting and maintaining SWC practices. However, the result is inconsistent with the results of prior studies (Agidew and Singh, 2018;Mekuriaw et al, 2018;Oduniyi, 2022) that older farmers are more experienced in perceiving erosion and limited participation in off-farm activities and hence are good in conservation investment.…”

Section: Agecontrasting

confidence: 95%

“…According to Asfaw and Neka (2017) and Nkonki-Mandleni et al (2022), households headed by women are less likely to invest in SWC structural maintenance due to a lack of labor, less access to information and the fact that they bear additional in-house responsibilities such as cooking and taking care of the family members. This result is consistent with previous research (Gedefaw et al, 2018;Limani, 2018;Ewunetu et al, 2021;Oduniyi, 2022), which found that male-headed households are more likely to use structural SWC practices but contradicts the findings of other studies (Atnafe et al, 2015;Belachew et al, 2020) that more female-headed households are probably continuing with technology use than males.…”

Section: Sexsupporting

confidence: 86%

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Factors Influencing Smallholder Farmers’ Decision to Abandon Introduced Sustainable Land Management Technologies in Central Ethiopia

Alemu

Tolossa

Senbeta

et al. 2022

Caraka Tani J. Sustain. Agric.

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The Ethiopian government has made efforts to rehabilitate degraded lands using a range of sustainable land management (SLM) initiatives. One of the key components was the use of improved structural soil and water conservation (SWC) technologies. However, the effectiveness of technology adoption varies greatly among households and abandoning previously accepted measures is a typical occurrence. Thus, this study sought to discover factors influencing smallholder farmers’ decisions to abandon already accepted SWC measures. The analysis was conducted based on data collected from 525 sample households surveyed in two districts in Central Ethiopia. An ordered cumulative logistic (POM) regression model was used to examine variables explaining households’ decision behavior. The study findings have revealed that sampled households were at different adoption stages, i.e., dis-adopters (22%), pilot-level adopters (14%) and adopters (64%). The results from the POM model also show that a range of variables influenced farmers’ dis-adoption decisions. Factors such as awareness about the risks of land degradation, access to training, incentives, land fragmentation, gender, full-time labor size, gentle slope plots, economic returns on investment and post-adoption follow-up were found to substantially influence smallholder farmers’ adoption discontinuance decisions. Thus, policymakers should consider these variables in designing strategies to overcome barriers to SLM practices.

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Section: Agecontrasting

confidence: 95%

Section: Sexsupporting

confidence: 86%

Factors Influencing Smallholder Farmers’ Decision to Abandon Introduced Sustainable Land Management Technologies in Central Ethiopia

Alemu

Tolossa

Senbeta

et al. 2022

Caraka Tani J. Sustain. Agric.

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“…However, Yang et al . (2021) and Oduniyi (2021) were of a contrary opinion and reported that female-headed households are more likely to adopt the combination of the three SCPs.…”

Section: Resultsmentioning

confidence: 99%

“…Similarly, Gebre et al (2019) pronounced that intensity of the adoption of improved maize varieties (an example of innovation) is lower for female-headed households compared to maleheaded households where decisions are made jointly. However, Yang et al (2021) and Oduniyi (2021) were of a contrary opinion and reported that female-headed households are more likely to adopt the combination of the three SCPs.…”

Section: Factors Influencing the Adoption Of Camentioning

confidence: 99%

Welfare impacts of conservation agriculture adoption on smallholder maize farmers in South Africa

Oduniyi

Chagwiza

Wade

2022

Renew. Agric. Food Syst.

Self Cite

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Climate change and soil degradation are the issues depleting the soil's ability to promote good yield. One of the ways to combat this is the practice of conservation agriculture (CA). This study was carried out to explore and investigate the impact of CA. Multinomial endogenous switching regression model and cross-sectional data were used to investigate the determinants and the impact of the adoption of CA on the income of smallholder maize farmers in Mpumalanga Province, South Africa. Three categories of CA (minimum tillage, crop diversification and a combination of both minimum tillage and crop diversification) were considered. The empirical results revealed that regardless of the choices of CA practices adopted by the maize farmers, the income realized was higher for adopters than for non-adopters of CA practices. The average treatment effect for the adopters of both minimum tillage and crop diversification was the highest, showing an increase in income by 60.31% (R15575.99/$996.57USD) compared to the non-adopters. The policy implication for these results is that there is a need to promote the adoption of CA practices, particularly a combination of both minimum tillage and crop diversification, given their significant impact on farmer income, an important welfare outcome that has significant implications on food security and poverty alleviation.

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“…Moreover, in the developing world, agricultural extension has been described as "failing" (Government of Malawi, 2000), "moribund" (Eicher, 2001), "in disarray or barely functioning at all" (Rivera et al, 2001), or ineffective in responding to farmer demands and technological challenges (Ahikiriza et al, 2021). Factors like wealth, risk preferences, education, access and affordability of information and learning (Aker, 2011) can result in technology adoption slowing down and becoming more discontinuous, further threatening agricultural productivity (Oduniyi, 2021).…”

Section: Introductionmentioning

confidence: 99%

Agricultural Advisory Diagnostics Using a Data-Based Approach: Test Case in an Intensively Managed Rural Landscape in the Ganga River Basin, India

Adla

Gupta

Karumanchi³

et al. 2022

Front. Water

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technology adoption through agricultural extension may be a consequence of providing generic information without sufficient adaptation to local conditions. Data-rich paradigms may be disruptive to extension services and can potentially change farmer-advisor interactions. This study fills a gap in pre-existing, generic advisory programs by suggesting an approach to “diagnose” farm-specific agricultural issues quantitatively first in order to facilitate advisors in developing farm-centric advisories. A user-friendly Farm Agricultural Diagnostics (FAD) tool is developed in Microsoft Excel VBA that uses farmer surveys and soil testing to quantify current agricultural performance, classify farms into different performance categories relative to a localized performance target, and visualize farm performance within a user-friendly interface. The advisory diagnostics approach is tested in Kanpur, representative of an intensively managed rural landscape in the Ganga river basin in India. The developed open-source tool is made available online to generate data-based agricultural advisories. During the field testing in Kanpur, the tool identifies 24% farms as nutrient-limited, 34% farms as water-limited, 27% farms with nutrient and water co-limitations, and the remaining farms as satisfactory compared to the localized performance target. It is recommended to design advisories in terms of water and nutrient recommendations which can fulfill the farm needs identified by the tool. The tool will add data-based value to pre-existing demand based advisory services in agricultural extension programs. The primary users of the tools are academic, governmental and non-governmental agencies working in the agricultural sector, whose rigorous scientific research, soil testing capacity, and direct stakeholder engagement, respectively, can be harnessed to generate more data-based and customized advisories, potentially improving farmer uptake of agricultural advisories.

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Factors Driving the Adoption and Use Extent of Sustainable Land Management Practices in South Africa

Cited by 11 publications

References 37 publications

Factors Influencing Smallholder Farmers’ Decision to Abandon Introduced Sustainable Land Management Technologies in Central Ethiopia

Factors Influencing Smallholder Farmers’ Decision to Abandon Introduced Sustainable Land Management Technologies in Central Ethiopia

Welfare impacts of conservation agriculture adoption on smallholder maize farmers in South Africa

Agricultural Advisory Diagnostics Using a Data-Based Approach: Test Case in an Intensively Managed Rural Landscape in the Ganga River Basin, India

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