22 pages, While climate change threatens global food security, health, and nutrition outcomes, Africa is more vulnerable because its economies largely depend on rain-fed agriculture. Thus, there is need for agricultural producers in Africa to employ robust adaptive measures that withstand the risks of climate change. However, the success of adaptation measures to climate change primarily depends on the communities’ knowledge or awareness of climate change and its risks. Nonetheless, existing empirical research is still limited to illuminate farmers’ awareness of the climate change problem. This study employs a Bayesian hierarchical logistic model, estimated using Hamiltonian Monte Carlo (HMC) methods, to empirically determine drivers of smallholder farmers’ awareness of climate change and its risks to agriculture in Zambia. The results suggest that on average, 77% of farmers in Zambia are aware of climate change and its risks to agriculture. We find socio-demographics, climate change information sources, climate change adaptive factors, and climate change impact-related shocks as predictors of the expression of climate change awareness. We suggest that farmers should be given all the necessary information about climate change and its risks to agriculture. Most importantly, the drivers identified can assist policymakers to provide the effective extension and advisory services that would enhance the understanding of climate change among farmers in synergy with appropriate farm-level climate-smart agricultural practices.
19 pages., To harness the potential of Information and Communication Technologies (ICTs), developing countries need to develop national ICT policies that will serve as a framework for integrating ICTs at all levels of society. In the absence of that, different actors often engage in various actions for the same beneficiaries and in pursuit of the same objectives. That raises the need to define a national framework for the promotion and application of ICTs in the various production areas, particularly agricultural ones. It is for that reason that this study examined through qualitative methods (policy documents and semi-structured interviews) the national policy of Mali on the use of ICTs in agriculture. Data was analysed using the Qualitative Content Analysis (QCA) method with the aid of NVIVO 12 software. The results showed that the country has two policy documents that articulate the country’s strategy towards the use of ICTs in the agricultural sector, that is, the Agricultural Orientation Law and the National Strategy for the Development of the Digital Economy. Further examination revealed that that these two policy documents are neither appropriate nor coherent in today's Malian landscape. This has resulted in an underutilisation of digital tools by agricultural extension officers which led to the low agricultural productivity in the country. This study recommended therefore the recasting of both documents to take into account the reported observations
Online from publication 2 pages., Report about removal of Burger King TV advertisements inaccurately touting the use of lemongrass in cows' diets to reduce methane emissions by "up to 33%."
7 pgs., In the last couple of decades, nonprofit organizations have worked to advance the voices of American farm women. Using the internet and social media, they advocate for farm women to have a larger voice in local and national agricultural policymaking. The Women, Food and Agriculture Network (WFAN; https://wfan.org/), is one of these nonprofit organizations (Women, Food, and Agriculture Network, 2019b). Based in Iowa, it offers a variety of programs to encourage farm women to continue farming and to consider pursuing elective office for a stronger female voice in American agriculture (Sachs et al., 2016). Historically, the American woman’s contribution to feeding the country and the world has received recognition only during times of national emergency. For example, during World War II, the U. S. Secretary of Agriculture turned to the United States Department of Agriculture (USDA) Extension Service to create a recruitment program for women to assist with food production. As early as April 1943, the U.S. Congress approved funding for The Farm Labor Supply Appropriation Act. The program became known as the Women’s Land Army (WLA; The Farm Labor Supply Appropriation Act of 1943). The program, operational between 1943 and 1947, called on American women to work on abandoned farms during World War II. Lucrative defense-related jobs were luring farmers from their fields, creating a need for farm laborers. The WLA was administered by the USDA and implemented at the state level by the USDA Extension Service. By 1945, one and a half million non-farm women had been recruited for farm jobs, and WLA membership had risen to almost two million women (Rasmussen, 1951, pp. 148–149). During the last decades of the 20th century, social and economic change had encouraged more women, including farm women, to become politically active. It was not until 1978, when the USDA began collecting data on the gender of the principal farm operators (the USDA term to describe the decision-makers), that women’s role in American farming was confirmed with statistics. According to the USDA Census in 2017, women as principal producers on the farm are slowly growing in number (U.S. Department of Agriculture National Agricultural Statistics Service, 2020, Table 52). These numbers also reflect the first time multiple (two or more) primary producers were reported in the USDA Census of Agriculture (U.S. Department of Agriculture National Agricultural Statistics Service, 2020, Table 47).
10 pages., Smallholder farmers in Afghanistan are already facing various risks in agricultural production due to past continuous insurgencies. Climate change is likely to amplify the risk and make them even more vulnerable. The present study attempted to evaluate the vulnerability profiles of smallholder farmers due to climate change using the IPCC Framework. Primary data on relevant parameters for assessing climate change-led social vulnerability in the region were collected by classifying study region into two zones: the plain and the hills of Yangi Qala District in Takhar province, Afghanistan. Thirteen villages from each zone were selected at random, and face-to-face interviews were conducted with ten randomly selected households in each of the selected villages in both zones based on a pre-tested questionnaire. The questionnaire contained indicators for all three dimensions of vulnerability: exposure, sensitivity and adaptive capacity. The collected data were subjected to a proposed vulnerability index, after estimating the indices of the three dimensions of vulnerability. The Iyenger and Sudershan weighting method was used to assess the contribution of each vulnerability dimension. Vulnerability was classified according to different categories based on beta distribution to evaluate the villages’ vulnerability status. The results showed that about 23% of all 26 sampled villages in both zones had low exposure, 26% moderate exposure and 51% high exposure to climate-change hazards and extreme weather events. High sensitivity was observed in 51%, moderate sensitivity in 7%, and low sensitivity in 42% of villages. High adaptive capacity to climate change was observed in 38% of villages, 19% were moderately adaptive and 42% showed a low adaptive capacity. High vulnerability was observed in 50% of villages, 4% were moderately vulnerable, and 46% had low vulnerability. A high proportion of smallholder farmers in the hilly zone in the sampled district were highly vulnerable, exposed and sensitive with a low adaptive capacity to climate change compared to the plain zone. The high vulnerability in the hilly zone was attributed to limited resources with a low adjustment capability to counter the disturbances, especially in crop cultivation, in response to climate change. A handful of low-cost and local approaches such as improving farmer extension services, introducing small-scale local infrastructure projects, reinforcing informal safety nets and protecting natural ecosystems could be viable cost-effective options that would also be sustainable given their low recurring costs and the limited maintenance required.
8 pages, Does it matter whether farmers receive advice on pest management strategies from public or from private (pesticide company affiliated) extension services? We use survey data from 733 Swiss fruit growers who are currently contending with an infestation by an invasive pest, the fruit fly Drosophila Suzukii. We find that farmers who are advised by public extension services are more likely (+9–10%) to use preventive measures (e.g. nets) while farmers who are advised by private extension services are more likely (+8–9%) to use synthetic insecticides. These results are robust to the inclusion of various covariates, ways to cluster standard errors, and inverse probability weighting. We also show that our results are unlikely to be driven by omitted variable bias. Our findings have implications for the current debates on both the ongoing privatization of agricultural extension and concerns regarding negative environmental and health externalities of pesticide use.
7 pages., Agricultural extension as a mean of dissemination of agricultural latest technologies to the farming communities and motivating them for its adoption can be achieved through better use of communication among relevant stakeholders. The existing extension and communication strategies used in Khyber Pakhtunkhwa province have many limitations. The present study was thus conducted to compare and analyze the farmers’ perceptions regarding use of information and communication technologies (ICT) in agriculture extension at three selected districts of Khyber Pakhtunkhwa. Based on the multi-stage sampling technique, population for the current study, 3 zones from 5 were purposively selected on the basis of their different agricultural condition. Selection of sample size was made using Yamane formula. The number of respondents as per formula was confined to 188 respondents in district Mansehra, 153 respondents in district Swabi and 59 respondents from district Karak, where data were collected randomly. Five point Likert scale was used to record responses of the respondents. The results of the study clearly showed that majority of the farmers in the study area were literate (73%) and comparatively was greater in district Mansehra (77%), while least in district Swabi (64%) using ICT for agricultural purposes and observed a significant correlation between the literacy and ICT i.e. 0.77. The results also showed that 39% respondents from District Mansehra, and 33% from district Swabi were fulltime farmers, used ICT. The results also showed that regarding the effectiveness of ICT tools in crop production, printed material; TV and Mobile Phone were used in districts Mansehra, Karak and Swabi respectively. Similarly, it was also inferred that ICT is very effective tool for communication between farmers and with extension workers. Hence, ICT is the most effective and useful tool for the improvement of the overall extension delivery system, so agriculture extension department may establish a formal structure to initiate free SMS and voice message service in the easiest and understandable languages for increasing overall coverage of the extension delivery.
USA: Illinois Extension, University of Illinois, Urbana-Champaign
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12018
Notes:
Online from Illinois Extension website. 3 pages., Summary of findings from an analysis of the impact of Illinois Extension, the public outreach and engagement arm of the University of Illinois. The report valued the annual economic and functional benefits of Illinois Extension at over $603 million, about 10 times the $60.9 million annual budget of the university unit.
10 pages, Low agricultural productivity remains one of the main factors influencing poverty and food insecurity among smallholder farmers in many developing countries. Among the key interventions assumed to influence agricultural productivity of smallholders is the provision of agricultural extension services to farmers. Access to agricultural extension however remains low in most developing countries thus slowing down agricultural productivity growth. This study therefore sought to determine the labor productivity effects of agricultural extension in northern Ghana using data from a cross-section of 300 smallholder farm households. The results of a binary probit model indicated that participation in agricultural extension increased with farming experience, farm size, access to irrigation and group membership but decreased with years of formal education and household size. Regression estimates of a labor productivity model revealed a positive and statistically significant relationship between agricultural extension and labor productivity. Also, labor productivity increased with farming experience, household income, access to irrigation, degree of specialization in production and the level of conventional inputs used per man-day of labor but decreased with participation in off-farm work. The authors recommend an increase in agricultural extension coverage to ensure that more farmers are reached with information on modern technologies to enhance their labor productivity. Furthermore, farmers need access to inputs such as seed and fertilizer to improve the productivity of labor.
Social Networks like Facebook, Twitter, YouTube and WhatsApp are now becoming very popular tools that are used for sharing the latest and important farming based information in different part of India. These tools are now widely used by Agricultural Extension and Advisory services to interact with the farmers for exchanging agricultural related information in India. The most influential farmers in a network can disseminate the information to the less central farmers of the network. The extension functionaries that promote the agricultural innovation will share the information with the most central members which in turn will share it with maximum number of the members of a social network. Social Network Analysis (SNA) acts as an efficient analytical tool that helps us to understand the relationship between farmer stakeholders and the importance of a farmer's position in the entire network. In this paper, a structural analysis of the Social Network is performed over two datasets, namely, Facebook-like dataset and Twitter Lists dataset. Here, we have studied the importance of individual nodes in the network through various centrality measures. SNA properties like centralities are used to represent the most central nodes that can act as a good influence spreader in the network. In this paper, initially the k-core decomposition method is used to find a set of influential nodes among all the nodes in the network. It is done to reduce the computational time. Our simulation shows that the nodes with higher Page Rank centrality can activate more members in a network as compared to other centrality measures. For Information diffusion, we have used Linear Threshold (LT) Model to understand the influence spread of the central farmers in the network.
