13pgs, This study aims to analyze the influence of neighborhood effects (NE) on tea farmers' intention to convert from traditional to organic farming in the mountainous areas of northern Vietnam. It differs from previous studies in two aspects. First, we combine the theory of planned behavior and the theory of herd behavior to explain farmers' intention to convert from traditional to organic farming, focusing on the impact of the NE. Secondly, to measure NE, we use a combination of questionnaires and methods of measuring herd behavior by McCartney and Shah. Using the generalized structural equation modeling and data collected from 263 tea farmers in Thai Nguyen, we found that NE has a positive and direct significant effect on farmers' intention to convert to organic tea production in the case where neighbors both live nearby and have a close relationship with the subject. In addition, it indirectly impacts farmers' conversion intention through attitude, subjective norms and perceived behavior control. To encourage tea farmers to convert to organic farming, policymakers and extension workers should take advantage of the NE to increase farmers' confidence about the benefits and the possibility of successful organic farming.
15pgs, Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.
14 pages, This research is an inquiry into the (under)utilisation of mobile phones by smallholder farmers in their agricultural activities in Zimbabwe. Through a naturalistic enquiry, the research established that agricultural extension officers are vital in the adoption and use of mobile phones for agricultural purposes. Those extension officers who were not skilled in productively using mobile phone technology had technophobia, which was the primary reason they did not use the technology in their interactions with farmers. Yet, a sizeable number of farmers used their mobile phones to receive information from agricultural extension officers, officials, other farmers, and market vendors. Interviewed farmers perceived the mobile phone as a tool for education in agricultural matters. However, very few used their phones effectively for agricultural purposes. The research identified two main inhibitors to the acceptance and use of mobile phones by farmers: a lack of the necessary digital skills, and lacking information to use mobile phones. Other inhibiting factors included semi-literacy, old age, insufficient infrastructure, socioeconomic status, excessive cost, and lack of support from telecommunications companies and other service providers. This research contributes a novel perspective to the body of knowledge regarding mobile technology adoption for agricultural activity in marginalised communities.
9 pages, In agricultural research for development adoption of new technology tends to be cast in categories: adoption, partial adoption, dis-adoption or non-adoption. While these may serve for pragmatic classification and measures for project success or impact they fail to properly acknowledge the ongoing and independent efforts of farmers (and others) in experimentation and integration of knowledge across a range of sources. This paper explores responses to practices for cattle management introduced during a research project, at project close, and five years after the project has finished. We consider the perceptions and application of new knowledge by farmers, extension staff, and policy makers. By taking a longer-term view, we demonstrate how farming households adapt and integrate knowledge from different sources into their daily practice, influenced by local institutions and changing cultural expectations, as well as external researchers. We also consider the influence of changing government priorities and incentives in steering farm-management decisions. Results suggest that a focus on measures to build capacity and empower farmers with information to adapt and respond to change, regardless of project activities, is a much more important goal and indicator of impact than measuring adoption.
8 pages., This study ascertained factors influencing adoption of improved maize seed varieties in three local government areas of Kaduna State, North-central Nigeria. It collected cross-sectional data for a sample of 180 randomly selected farming households across three local government areas of the State in 2015/16. Both descriptive and inferential analyses were performed on the data. The descriptive statistics differentiated adopters from non-adopters, while the inferential analysis involved estimation of a logit model to determine factors driving adoption of improved maize seed varieties in the study areas. The results of the descriptive analysis show significant mean differences between adopters and non-adopters regarding several farm households’ characteristics. The model results reveal that adoption of improved maize seed varieties among the households was positively influenced by age, household size, level of education, farming experience, labour availability, contacts with extension agents, farm size, off-farm income and membership of associations. Thus, the study concluded that improving farmers’ education, expanding coverage and depth of extension services and strengthening farmer associations are useful policy actions for promoting adoption of improved maize varieties. It is also important to address availability, accessibility and affordability issues constraining adoption, enhance credit access and mitigate risk perceptions. The link between researchers and innovators and the farmers who are the off-takers of their outputs should be reinforced to increase maize productivity in order to satisfy national demand and promote food security.
Boehlje, Michael (author) and Langemeier, Michael (author)
Format:
Research report
Publication Date:
2021-03
Published:
USA: Department of Agricultural and Consumer Economics, College of Agricultural, Consumer and Environmental Sciences, University of Illinois, Urbana-Champaign.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12167
Notes:
6 pages., Authors from the Center for Commercial Agriculture, Purdue University, discuss the adoption of precision agriculture technologies. Findings of cited research among farmers indicated that the average net benefit was almost $90 per acre, and the benefit cost ratio averaged 9.7 to 1. "These results suggest a much higher payoff of precision farming than previous studies. This higher payoff is a result of the whole-farm system benefits of the interactions among individual tools and technologies which result in a new way of farming."
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12188
Notes:
Online via AgriMarketing Update. 2 pages., Summary of results from a Farm Journal Pulse Poll asking farmers what farm technology they wish to invest in first if they were to win the lottery. The top choice was variable-rate application technology with 31% of the responses (out of a total of 577 farmers). Four other technologies ranked lower.
12 pages., In sub-Saharan Africa (SSA), declining soil fertility is among the factors affecting optimal food production. Although a number of interventions have been implemented to improve soil fertility management (SFM) in SSA, their adoption especially among small scale farmers has been low. Although the literature provides considerable evidence of socio-economic factors which influence adoption, the subject of how communication influences adoption of SFM remains under-explored. This paper therefore reviewed studies on SFM communication in SSA. The objectives were to identify the current focus of studies on SFM communication, the current definitions of communication which informed such studies, and the type of SFM practices being communicated in the SSA region. Using specific search terms, articles were collected from various databases and content analysed. The review revealed five main themes as the focus of current studies on SFM. The study also revealed two main interpretations of communication which in turn influence the use of either diffusion or participatory communication strategies for SFM communication. The review also showed a focus on integrated soil fertility management (ISFM) messages in the SSA area. The study concludes that while each of the two communication strategies has their individual strengths, farmers prefer participatory strategies. This is because participatory strategies foster interaction and greater understanding; thereby, increasing the likelihood of farmer adoption of SFM practices in SSA. The review concludes by calling for further research on the use of participatory communication to engage farmers about various SFM practices in SSA.
Nigeria, the seventh most populous country in the world, is plagued by livelihood challenges such as poverty and food insecurity, which are more pervasive among farming households and rural communities. Organic farming is being promoted by some domestic non-governmental organizations as a means of addressing the problem of poverty and food insecurity among farming households and rural communities in the country. Promoters consider organic farming to be well-suited to smallholder farmers’ socio-economic conditions in Nigeria, and that it can help improve their livelihood conditions through increased agricultural productivity and farm income. However, the adoption of the technology by smallholder farmers has been underwhelming, for reasons yet to be studied. Using a livelihood framework and through a case study of farmers in Ibadan, Oyo State, this study qualitatively explores and provides insights into the factors that influence, constrain, and gender the adoption of organic farming in Nigeria. Overall, it was found that a mix of factors, which include institutional considerations, farmers’ livelihood assets and vulnerability contexts, their livelihood activities, and gender-related variables shaped adoption decision-making. The policy implications of the findings were outlined.
Via online issue. 3 pages., Summary of panel discussion at a Virtual Town Hall meeting of the Produce Marketing Association. Panelists noted how greenhouse technologies can soften the blow of climate change.
