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.
14 pages., Via online journal., Green technology is the means of improving towards the rising environmental concern. The implication of green fertilizer technology (GFT) is the need for the modern development of environmentally friendly technology, also to increase the production level among all the agriculture crops. It is especially needed for paddy production, as it has always been considered as an important commodity because it is the main staple food for the nation. Paddy production in Malaysia using GFT allows for sustainable development and boosts the yield. Nevertheless, the adoption rate of GFT is unsatisfactory in most of the developing countries, including in Malaysia. The fact that the cost of production is considerably higher results in low-level perception regarding the adoption of GFT. Hence, the integration of communication and technology factors could become one of the main elements for the further development of the paddy sector in Malaysia. The overall objective of this research study will identify the factors that determine paddy farmer's adoption decision on GFT in Malaysia. To do so, a literature review was compiled on the topic of agriculture innovation-based adoption decision theories such as Diffusion of innovation (DOI), Theory of reasoned action (TRA), Theory of Planned Behavior (TPB) and Technology acceptance model (TAM) and communication channels to study paddy farmers' adoption decision of GFT. The results of the review revealed that this framework highlights adoption as an intricate behavior, interweaving aspects such as communication channels, socio-psychological and innovation attribute considerations. The conceptual framework illuminates the decision towards adoption as a self-motivated process, assumes a composite interaction among groups of variables coming from two different theories. The combination of DOI, TRA, TPB, TAM and communication channels overcome some limitations that arise when the only theory is used to examine the adoption decision among paddy farmers in Malaysia. Correspondingly, there has been limited empirical research done on the decision of adoption toward GFT use among paddy farmers in Malaysia.
7 pages., via online journal., The study was aimed at determining women farmers' agricultural information needs and accessibility, using Apa local government area of Benue State as a case study. A sample size of 70 women farmers was initially taken for the study but only data for 65 respondents were analyzed. Simple random sampling technique was used for the sample selection and questionnaire was used to elicit information from the respondents. Both descriptive and inferential statistics were used for data analysis. The result showed highest information needs in the areas of pesticides and fertilizer applications and improved farm implements. Husbands, fellow women and mass media were the main sources of agricultural information to women farmers and accessibility of information from these sources was relatively high. Age, educational level and income of women farmers showed significant relationships with their accessibility to agricultural information at 5% level of significance. It is recommended that enough information should be provided in the needed areas and women adult literacy and economic empowerment programmes should be given serious attention to enhance their access to needed agricultural information.
12 pages., via online journal., In recent years, there has been extensive investment in e-governance throughout the developing world. Still, little is known about the impact of those investments, partly due to a lack of assessment guidance. In this study modified sustainable livelihood framework approach was used for studying impact of the project on farmers. Before and after data was collected from the registered farmers using recall method to assess the impact of the project on all five types of capital (Natural capital, financial capital, human capital, physical capital and social capital). It was found that after implementation of the project, in the category of natural capital, average production and average sold quantity of rice, wheat, pigeon pea, mustard, and green gram has been significantly increased and in the category of financial capital, respondents’ average family income, earning from agriculture and allied sector and benefit from government schemes has been significantly increased and in the category of human capital, average number of training received by respondents and average number of extension contacts made by respondents has been significantly increased and in the category of physical capital, average storage facility has been increased by respondents and in the category of social capital, average number of meetings attended by respondents in Krishi Gyan Kendra has been significantly increased.
14 pages., via online journal., Issue arenas, as places for societal discussions, have recently been studied as an important aspect of organizational environments. While a fundamental part of any issue arena is the distinction between active and passive actors, empirical analyses have mainly focused on active stakeholders. We approach issue arenas as communication networks in which active stakeholders discuss topics and involve passive stakeholders. Based on network theory, we introduce an automated method for mapping these issue arenas on Twitter. In particular, we combine manual coding of active stakeholders, and automated semantic network analysis of addressed, passive stakeholders and their topics of discussion. Empirically, we focus on the issue of bird flu affecting poultry farming in the Netherlands from 2015 to 2017 with a sample of 704 Twitter messages. Instead of pre-defining a set of stakeholders for the analysis, our approach to study communication networks in online settings allows for mapping issue arenas based on the stakeholders that communicate about the topic.
16 pages., via online journal., To date, little is known about how information flows within farmer groups and how extension interventions could be designed to deliver combined information on agriculture and nutrition. This study uses unique network data from 815 farm households in Kenya to investigate the structure and characteristics of agricultural and nutrition information networks within farmer groups. Dyadic regressions are used to analyze the factors influencing link formation for the exchange of agricultural and nutrition information. In addition, we apply fixed‐effects models to identify the characteristics of central persons driving information exchange in the two networks, as well as potentially isolated persons, who are excluded from information networks within their farmer groups. Our results show that nutrition information is exchanged within farmer groups, although to a limited extent, and mostly flows through the existing agricultural information links. Thus, diffusing nutrition information through agricultural extension systems may be a viable approach. Our findings further suggest that group leaders and persons living in central locations are important drivers in the diffusion of information in both networks and may thus serve as suitable entry points for nutrition‐sensitive extension programs. However, we also identify important heterogeneities in network characteristics. In particular, nutrition information is less often exchanged between men and women, and some group members are completely isolated from nutrition information exchange within their farmer groups. We derive recommendations on taking these differences in network structure and characteristics into account when designing nutrition‐sensitive extension programs.
Jäckering, Lisa (author), Gödecke, Theda (author), Wollni, Meike (author), and Department of Agricultural Economics and
Rural Development, University of Goettingen,
Goettingen, Germany
Format:
Online journal article
Publication Date:
2019-07-10
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 114 Document Number: D10997
16 pages., Wiley Online Library, To date, little is known about how information flows within farmer groups and how extension interventions could be designed to deliver combined information on agriculture and nutrition. This study uses unique network data from 815 farm households in Kenya to investigate the structure and characteristics of agricultural and nutrition information networks within farmer groups. Dyadic regressions are used to analyze the factors influencing link formation for the exchange of agricultural and nutrition information. In addition, we apply fixed-effects models to identify the characteristics of central persons driving information exchange in the two networks, as well as potentially isolated persons, who are excluded from information networks within their farmer groups. Our results show that nutrition information is exchanged within farmer groups, although to a limited extent, and mostly flows through the existing agricultural information links. Thus, diffusing nutrition information through agricultural extension systems may be a viable approach. Our findings further suggest that group leaders and persons living in central locations are important drivers in the diffusion of information in both networks and may thus serve as suitable entry points for nutritionsensitive extension programs. However, we also identify important heterogeneities in network characteristics. In particular, nutrition information is less often exchanged between men and women, and some group members are completely isolated from nutrition information exchange within their farmer groups. We derive recommendations on taking these differences in network structure and characteristics into account when designing nutrition-sensitive extension programs.
6 pages., via online journal., ICT has been initiated and implemented effectively by the
public private partnership, government, researchers and various
Institutions. Availability of wireless service, Internet and mobile
communication have forced ICT to find foothold in daily routine
of the Indian farmers. ICT has huge impact in agricultural
development but still in natal stage. Many farmers are not availing
the actual potential of ICT due to poverty, social constraint,
illiteracy, language barriers and unwillingness to adopt new
technology. Many Indian farmers have reported positive change
in income, quality of produce and timely access to the market
information by using latest mobile application. WhatsApp is the
most popular and easy to use Mobile Instant Messaging service
amongst the Indian farmer. It supports sharing of localized
information and utilizing these services as query redressal
public platform. This paper is an attempt to gather meaningful
agricultural data for analysis and filtering of relevant need based
information assessment. The main focus of the present work is to
develop an automatic information handling and redressal of the
need based agricultural information system using WhatsApp as
social media platform.
16 pages., via online journal., raceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social networks, trust in the information, and consequently assess perceived risks, especially when food scandals are exposed to the media. In this study, we introduce the social embeddedness theory to understand how consumers' social activities affect their risk perceptions on traceable food. Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships. Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer's risk perceptions at middle and higher levels, respectively. Results also show that the “ripple effect” extended to effect of risk events with negative information, however, did not exist for the group exposed to positive information. Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.
14 pages., via online journal, The study evaluated the potential of 19 radio stations to promote new or improved agricultural technologies to strengthen agricultural extension services. Key informant interviews were conducted with the station and/or program managers of the selected radio stations. Two female respondents i.e. from UBC Radio, and Impact FM and 17 male respondents from the remaining radio stations were interviewed. The survey used semi structured questionnaire to determine broadcasting languages, radio transmitter capacity, geographical coverage and audience, major programs and scheduling, use of modern ICT, staff capacity and feedback mechanism from the audience as well as experience in agricultural programming using participatory radio campaign. The collected data was analyzed using content analysis. 16 of the radio stations are commercial while the remaining three belong to public, community and religious radio stations. The potential audience of the surveyed radio stations varied from one to ten million. Seven broadcasting languages (English, Luganda, Lugisu, Lusoga, Japadhola, Ateso and Samia) were predominant, while English and Luganda cut across all communities. The estimated number of audience for each radio station varies from one to ten million listeners. The results also indicate that agricultural programs are not a major component of radio program with time allocation for agrictural programs comprising only 15 percent of total time allocation. However, ten radio stations had previous collaboration with international, regional or national NGOs to promote specific agricultural technology. Radio broadcasters of these radio stations had some form of agricultural programming including participatory radio campaign. Building on this experience, it is possible to reach more farmers through radio to strengthen adoption of recommended agricultural technologies.
