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.
Aldosari, Fahad (author), Al Shunaifi, Mohamed Saleh (author), Ullah, Muhammad Amjad (author), Muddassir, Muhammad (author), and Noor, Mehmood Ali (author)
Format:
Online journal article
Publication Date:
2019-04
Published:
Saudi Arabia: Science Direct
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 8 Document Number: D10318
7 pages., Via online journal., Like many developing countries, agriculture is seen as the vehicle for development also in Pakistan. Our study was aimed to identify the perceptions of farmer community towards the electronic media and relationship between different demographic characteristics of respondents with the use of electronic communication of TV and radio, in Khyber Pakhtunkhwa (KPK), a province of Pakistan. Random sampling technique was used for selecting 183 respondents. Data were analyzed with descriptive statistics and Chi-square. Results revealed that maximum respondents were agreed that mobile and internet can be a useful source of agricultural information and only 1.6 and 5.5% of the respondents were strongly disagreed about information means, respectively. A maximum number of the respondents were undecided about “agricultural helpline can be a useful source of agricultural information”, only 14.2% of the respondents were strongly agreed with this statement. A highly significant relationship was found between age of respondents and application of information received through radio and TV. On the other side, education of the respondents had a highly significant relationship with the application of information received through radio only. Farming experience of the respondents had no significant relationship with the application of information received through TV and radio. Results suggested that extension personnel should motivate and educate the farming community about the use of electronic media (TV, radio, helpline, internet, mobile) for advanced information about agriculture production techniques.
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.
