Determinants of awareness levels of climate smart agricultural technologies and practices of urban farmers in Kuje, Abuja, Nigeria

Mashi, Sani Abubakar; Inkani, Amina Ibrahim; Obaro, Dominic Oghenejeabor

doi:10.1016/j.techsoc.2022.102030

Cited by 35 publications

(15 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Economic cognition includes convenience cognition, operational effectiveness cognition, and income generation cognition. Generally speaking, the easier it is to obtain and use the machinery and equipment, the higher the farmers' evaluations of the operational effects, and the stronger the perception of income generation, the greater the possibility of farmers adopting green production technology [20]. It can be inferred that the economic perception of technology can effectively promote a positive relationship between farmers' endowments and the adoption of environmentally friendly technologies.…”

Section: Theoretical Analysismentioning

confidence: 99%

Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior

Sui

Gao

2023

Sustainability

View full text Add to dashboard Cite

The motivation of this paper is to explore the influence of farmers’ endowments and technology perceptions on farmers’ green production technology adoption behaviors. Based on a survey of 471 grain farmers in the main grain-producing areas of Shandong Province, the Heckman model was used to empirically analyze the influence of farmers’ endowments on their adoption behavior of green production technologies, and the moderating effect of technology perception on the relationship between the two was further investigated. The study showed that: (1) More than half of the farmers adopted more than three green production technologies, and only 11.5% did not adopt them. In terms of adoption structure, the adoption rate of green pest control technology was the highest at 67.7%, while the adoption rate of moderate deep pine technology was the lowest at 32.7%. The adoption structure should be further optimized. (2) After controlling for sample selection bias, farmers’ endowments have a significant positive effect on farmers’ green production technology adoption behaviors. The ordinary least square regression overestimates the main effect of farmers’ endowments by 8.5% compared with the Heckman model. (3) Technology cognition can effectively promote the positive effect of farmers’ endowments on green production technology adoption, in which the moderating effect of technology–economic cognition is higher than that of technology–environmental cognition. (4) There is heterogeneity in the effects of farmers’ endowments and technology cognition on different adoption subjects and technology types. The above findings provide an in-depth explanation for activating the endogenous drivers of green agriculture development.

show abstract

Section: Theoretical Analysismentioning

confidence: 99%

Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior

Sui

Gao

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Diverse studies from Mashi et al (2022), Autio et al (2021), Thompson et al (2022), Bambio et al (2022) and Addison et al (2023) navigate through urban farming in Nigeria sustainable farming practices in Europe, and the nuances of technology adoption in West Africa, respectively. As we delve deeper into the nuances of technology in agriculture, Shazwan Azizul et al (2023), Gardezi and Stock (2021), Taheri et al (2020), Ullah et al (2020), Vinco et al (2023), Ullah et al (2023) and Rose and Bhattacharya (2023), respectively study drones in rice cultivation in Malaysia, algorithmic rationality, hand tractors in Pakistan, emission targets in Canada, and the challenges and impacts of autonomous robots in the UK agriculture sector.…”

Section: Literature Reviewmentioning

confidence: 99%

A systematic review on the factors governing precision agriculture adoption among small-scale farmers

John,

Hussin,

Shahibi

et al. 2023

Outlook Agric

View full text Add to dashboard Cite

The global agricultural paradigm is witnessing a transformative shift with the advent of precision agriculture. While large-scale agricultural enterprises have been swift in their embrace of this innovation, its uptake among small-scale farmers remains nuanced and complex. This study elucidates the multi-faceted determinants that influence the adoption of precision agriculture within the small-scale farming sector. The study adopts a systematic literature review approach, meticulously selecting and analysing 29 relevant papers. Drawing upon an exhaustive literature review and empirical analyses, the research presents a composite framework weaving economic, technological, social, and environmental factors. Among these, the social dynamics emerge as the most significant factor, shaped by awareness levels, knowledge dissemination pathways, and entrenched cultural norms. These social elements often intertwine with ingrained traditional practices and perceptions, forming the most intricate layer shaping adoption attitudes. Notably, although economic factors like substantial initial investments and the calculus of Return on Investment are present, they are overshadowed by social considerations. The technological landscape is characterised by the challenges of digital literacy, infrastructural readiness, and technological interoperability. Lastly, environmental imperatives, underscored by resource scarcity, climate change resilience, and ecosystem services, offer both challenges and motivations. Together, these factors delineate the intricate roadmap guiding small-scale farmers in their journey toward precision agriculture adoption. This comprehensive exploration provides stakeholders with actionable insights, fostering informed decision-making and strategic interventions to augment precision agriculture's integration within the small-scale farming tapestry.

show abstract

“…The higher adoption rates could have been influenced by the age of farmers who benefited directly and indirectly from the programme. Studies have shown that young adults are better able to adopt agricultural technologies quickly than aging farmers due to the laborious nature of some of the practices (Kifle et al, 2022, Mashi et al, 2022and Shahbaz et al, 2022. Andati et al (2022) however found the reverse.…”

Section: Awareness Of Csa Practices and The Respective Rate Of Adoptionmentioning

confidence: 99%

Adoption of Climate Smart Agricultural Technologies among Smallholder Farmers in Semi-Arid Ghana

Odoom¹,

Afful²,

Mensah³

et al. 2023

JSD

View full text Add to dashboard Cite

The evidence of climate change and variability in semi-arid Ghana is glaring and the adverse impact is being felt mostly by smallholder farmers because of their over dependence on agriculture for livelihood and subsistence. As a solution to building the resilience of the smallholder farmers, the Climate Smart Agriculture (CSA) concept was introduced a decade ago by the Food and Agriculture Organization, guided by three key principles of adaptation to climate change, greenhouse gas emissions reduction and promotion of food security. The paper sought to assess the level of awareness of climate smart agriculture practices and the respective rate of adoption of these practices. Moreso, this paper established how Normalised Difference Water Index (NDWI) and Land Surface Temperature (LST) affects the adoption rate of CSA practices or technologies. The study employed the explanatory sequential mixed research methods. A semi-structured questionnaire was used to collect data from 300 smallholder farmers and 16 focus group discussions were conducted, with a total of 180 persons taking part in the focus group discussions. Key informant interviews were also conducted for 11 relevant stakeholders from governmental and non-governmental institutions. Findings from this study reveal that CSA practices such as intercropping, manure management and mulching had a 100% adoption rate, and the least adopted practice was irrigation followed by dry season gardening. The NDWI and LST analysis concluded that Nandom is the most viable among the two municipals to support irrigation projects since it has more capacity to retain surface water during the dry and wet seasons.

show abstract

Determinants of awareness levels of climate smart agricultural technologies and practices of urban farmers in Kuje, Abuja, Nigeria

Cited by 35 publications

References 88 publications

Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior

Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior

A systematic review on the factors governing precision agriculture adoption among small-scale farmers

Adoption of Climate Smart Agricultural Technologies among Smallholder Farmers in Semi-Arid Ghana

Contact Info

Product

Resources

About