13 pages., Article #: 3FEA2, via online journal., A multiple indicators, multiple causes, or MIMIC, modeling framework can be used for analyzing a variety of farmer decision-making situations where multiple outcomes are possible. Example applications include analyses of farmer use of multiple information sources, management practices, or technologies. We applied the framework to analyze use of multiple information sources by beef cattle farmers. We provide measures of how farmer demographics, farm characteristics, and risk attitudes influenced farmer use of information from Extension, producer groups, popular press, the U.S. Department of Agriculture, the Internet, and other farmers. Education and greater willingness to take risk positively influenced information use among the farmers we studied. Our process has implications for broader use within Extension.
8 pages., via online journal., Social media provides huge opportunities and incentives that could ease promotion of agricultural extension, facilitate real-time service delivery and enable wider farmer coverage. Ineffective dissemination approaches, expanding farmer population, low staffing, and aging agricultural extension agents continue to negatively affect the provision of agricultural extension services in Kenya. Despite the social media potential in agricultural communication, lack of awareness and low usage in the rural areas of developing countries have been documented. This study sought to establish the level of social media familiarity among smallholder rural farmers with the aim of exploring the possibility of usage in agricultural extension. The study was undertaken in Thika Sub-County of Kiambu County on 140 farmers through a researcher administered semi-structured questionnaire. Probability-proportional-to-size sampling method was employed to derive the sample size from existing extension farmer groups. Simple random sampling technique was further used to identify the actual respondents from each group. A low level of social media familiarity was established among the farmers with education, age and gender having significant influence. The study recommends awareness creation initiatives to promote social media familiarity with a particular focus on women who form the bulk of the farmers but with the lowest level of social media knowledge.
14 pages., via online journal., The purpose of the study was to investigate the information needs and barriers of rural smallholder farmers in Mzimba North in Malawi. A mixed methods approach was adopted for the study and the Wilson’s Model of Information Behaviour (1996) guided the study. A questionnaire and focus group discussion guide were used to collect data from 202 rural smallholder farmers. The study found that the major information need of rural smallholder farmers was crop husbandry as revealed by the majority of rural smallholder farmers 149 (77.6). The study found that majority of rural smallholder farmers 180 (94.8%) were aware of information sources. The study also found that the predominant information sources consulted by rural smallholder farmers were personal experiences as indicated by the majority of rural smallholder farmers 185 (96%). The major challenge faced by rural smallholder farmers was lack of mobility as revealed by the majority of rural smallholder farmers 147 (76.6). The study recommends that the Department of Agriculture Extension Services (DAES) should empower the social structures such as families in rural settings with agricultural information.
11 pages., via online journal., The purposes of this study was to determine the selected characteristics of the female farmers, to determine the information needs of the female farmers in practicing agriculture and to explore the relationship between information need and selected characteristics of the female farmers. Data were collected using interview schedule from a sample of 50 farmers out of 100 farmers of target group and 50 farmers out of 100 farmers of control group selected random sampling procedure from the beneficiaries of PROTIC project of Dimala upazila under Nilphamari district. Besides the usual descriptive statistical parameter, Pearson’s Product Moment Correlation Coefficient (r) was used for the statistical analysis. The information needs were determined on 20 selected agricultural activities related information. It was revealed that the highest information needs was observed on ‘pesticides name’ in target groups. Lowest information needs was observed on ‘pond preparation’. In case of control groups the highest information needs was observed on pesticides name’ while lowest information needs was observed on ‘water quality management’ among the selected information of practicing agricultural activities. In target groups majority of the respondents (74 percent) mentioned medium information needs while 14 percent low and 12 percent high information needs. Among the control groups 62 percent farmers opined medium information needs while 16 percent mentioned about low information needs and 22 percent showed high information needs for practicing agricultural activities. In response to target groups it was observed that extension media contact and agricultural knowledge, annual income and aspiration while in response to control group farmers’ agricultural knowledge and aspiration are positively and age was negatively correlated with information needs of female farmers in practicing agriculture.
Abstract via online journal. 2 pages., Technological innovation is vital to economic growth and food security in sub-Saharan Africa where agricultural productivity has been stagnant for a long time. Extension services and learning from peer farmers are two common approaches to facilitate the diffusion of new technologies, but little is known about their relative effectiveness. Selection bias, whereby well-motivated training participants would perform better even without extension services, as well as knowledge spillovers, where non-participants can indirectly benefit from extension services, are among the major threats to causal inference. Using a unique sequential randomized experiment on agricultural training, this study attempts to meet the dual objectives of executing rigorous impact evaluation of extension services and subsequent spillovers on rice production in Cote d’Ivoire. Specifically, to reduce selection bias, we randomly assigned eligibility for training participation; and to satisfy the stable unit treatment value assumption, control-group farmers were initially restricted from exchanging information with treated-group farmers who had received rice management training. Once some positive impacts were confirmed, information exchange between the treated and control farmers was encouraged. We found that the initial performance gaps created by the randomized assignment disappeared over time, due presumably to social learning from peer farmers. A detailed analysis concerning the information network and peer effects provided suggestive evidence that there were information and technology spillovers from treated to control farmers after removing the information exchange restriction. Overall, our study demonstrates that information dissemination by farmers can be as effective in improving practices as the initial training provided by extension services.
1 page., September-November issue via online., Digitalisation is improving the agricultural extension system by providing services at the right time, and facilitating adoption of new agronomic practices, resulting in yield improvements and higher incomes for farming households.
