17 pages, The positive spillover impacts of the efficiency of information and communication technology (ICT) and land accessibility as factor inputs to agricultural productivity are well documented in the literature. Furthermore, input-output efficiency as a measurement of factors contributing towards gross production is no exception in this regard. Few studies on agricultural production and ICT at the household level in South Africa show divergent empirical results. This study investigates the effect of information and communication technology (ICT) and land for farming in the context of household food production in South Africa. Household engagement in agricultural activities is proxy for agricultural production, farm land size is a proxy for land accessibility, telephone and internet use are proxies for ICT in this study. Household data of twenty-one thousand, six hundred and one (21,601) households on agricultural activities and ICTs were generated from the existing survey data of General household survey, 2015 by Statistics South Africa. Majority of the households are not engaging in agricultural activities due to no access to land for farming, but more than 80 percent of the households have access to at least one form of ICTs penetration i.e. mobile telephony. The logit regression shows that internet connection in the household have positive and significant impact on household agricultural production but land accessibility is indirectly related and significant to household food production in South Africa. Therefore land accessibility may be a barrier to agricultural activity involvement in South Africa. The study shows that the positive spillover impacts of ICT may not be possible due to lack of access to land for agriculture. Land for farming, CDMA telephony and internet are highly required for agricultural activities in order to promote food production, reduce cost of telecommunications, promoting agricultural research and development via internet accessibility.
12 pages, Conservation Agriculture (CA) has been widely promoted as a pathway to sustainably intensify agriculture in sub-Saharan Africa (SSA). Yet despite decades of promotion, CA uptake in SSA remains sparse with only few analyses of its impacts on farming and rural livelihoods. This study, which focuses on areas in Central Malawi considered to have a relatively high uptake of CA, uses analyses of satellite images, field observations, interviews with farmers, extension workers and other people involved in CA promotion, as well as a household survey, to investigate how CA has been adapted. We find that the three CA principles – (1) continuous minimum tillage, e.g. no-ridging, (2) permanent ground cover, and (3) crop rotation/intercropping – were not practiced as intended. First, one-third of non-ridged land was tilled during the growing season, and half was again ridged in the following season. Second, unless crop residues were added, the soil’s surface of non-ridged plots was usually bare at planting, causing weed control problems, and an increased risk of erosion. Most farmers added large volumes of crop residues to their non-ridged plots. They collected these from the surrounding fields, but this practice severely restricted the size of these plots. Third, crop rotation/intercropping was practiced less when farmers stopped ridging. Thus overall, very few farmers practised all of the three CA principles simultaneously. CA promotion appeared to only increase yields on plots where mulch was added, but this practice is not scalable. CA promotiondoes not seem to have provided substantial benefits for overall farm productivity, labour-savings or soil cons
22 pages, Raising agricultural productivity in developing countries is often said to reduce poverty more than comparable growth arising from other sectors. This claim has frequently been based on casual theorising, rather than empirical evidence. Productivity growth generates additional income and must benefit someone, though not necessarily the poor. It is conceivable that most, or even all of the benefits might go to others. Using region-level data from Thailand, we study the relationship between agricultural productivity growth and rural poverty incidence. The dependent variable for our regression analysis is the annual rate of change in rural poverty incidence at the regional level between the years for which poverty data are available. Agricultural productivity is measured as the annual rate of change in regional total agricultural productivity, covering the same time intervals as the poverty observations, but lagged one calendar year. Other control variables include regional non-agricultural incomes and the real price of food. The estimated coefficient on the change in agricultural productivity is negative and highly significant, implying that agricultural productivity growth does reduce rural poverty, holding other variables constant, though not more so than non-agricultural sources of income growth. The poverty-reducing contribution of recent agricultural productivity growth has been small. The poverty-reducing effects of long-term drivers of agricultural productivity growth are also analysed, using simulations based on the estimated model.
10 pages, This study examined content of YouTube videos on cassava production and processing posted in Nigeria between 2009 and 2019. Purposive sampling method was used in selecting 155 YouTube videos with cassava production and processing contents. Primary data on video source, content, duration, quality, number of views, subscribers, likes, comments, presentation format and year of upload were obtained by watching these videos. Data were analysed using frequency counts, percentages, means, standard deviation. Many (53.5%) of the videos were on processing of cassava, while most (80.0%) of the videos were relatively recent (2014 - 2019). Private individuals (38.7%) and media houses (34.2%) were the main sources of videos on cassava production and processing on YouTube. The major content of the video was on agronomic practices in cassava production (12.9%) and value addition (11.0%). Also, 66.0% of the videos had video description (descriptive texts), 36.8% had mobilizing information while 52.3% had a video quality of 720p. Furthermore, 72.9% of the videos had between 1-to-7-minute runtime and these videos had more likes than dislikes with mean values of 92.8 and 5.6 respectively. The mean number of views, subscribers and comments were 11,138.1, 179,537.6 and 13.6, respectively. The presentation patterns in the videos were in form of news (24.5%) and documentary (20.0%). YouTube videos on cassava production and processing were well viewed with a substantial number of subscribers. More YouTube videos on cassava production and processing should be produced with varied contents by different stakeholders in the agricultural sector.
6 pages, Despite the huge potential for milk production, interventions to improve productivity in sub-Saharan Africa (SSA) are barely based on specified farm classifications. This study aimed to develop robust and context-specific farm typologies to guide content of extension farm advice/services in Uganda. From a sample of 482 dairy farmers, we collected data on farmer socio-demographics, farm management practices, ownership of farm tools and facilities, willingness to pay for extension services, milk production, and marketing. Farm typologies were obtained based on principal component and cluster analyses. Thereby, of the three dairy production systems that emerged, small-scale, largely subsistence yet extensive and low productive farms were more prominent (82.6%). Farms that were classified as large-scale, less commercialized yet extensive with modest productive systems were more than the medium-scale commercial farms with intensive and highly productive systems. However, the later were considered to potentially transform dairy farming in Uganda. It was also predicted that the validity of our farm classification may persist until half of the farms have moved between clusters. The study gives new insights on dairy production systems in Uganda, which can be used to organize more targeted research on farmers’ extension needs for facilitating delivery of relevant and effective extension services and designing appropriate extension policies
21 pages, Despite decades of investment in agricultural extension, technology adoption among farmers and agricultural productivity growth in Sub-Saharan Africa remain slow. Among other shortcomings, extension systems often make recommendations that do not account for price risk or spatial heterogeneity in farmers' growing conditions. However, little is known about the effectiveness of extension approaches for nutrient management that consider these issues. We analyze the impact of farmers' access to site-specific nutrient management recommendations and to information on expected returns, provided through a digital decision support tool, for maize production. We implement a randomized controlled trial among smallholders in the maize belt of northern Nigeria. We use three waves of annual panel data to estimate immediate and longer term effects of two different extension treatments: site-specific recommendations with and without complementary information about variability in output prices and expected returns. We find that site-specific nutrient management recommendations improve fertilizer management practices and maize yields but do not necessarily increase fertilizer use. In addition, we find that recommendations that are accompanied by additional information about variability in expected returns induce larger fertilizer investments that persist beyond the first year. However, the magnitudes of these effects are small: we find only incremental increases in investments and net revenues over two treatment years.
18 pages, Based on panel data from the Rural Fixed Point Survey of the Ministry of
Agriculture over the period 2004-2016 and supplementary survey data on information
and communications technology (ICT) applications in the countryside, this paper employs
the difference in differences (DID) method to analyze the effects of ICT applications on
rural households’ agricultural total factor productivity (TFP) with mobile phone signal,
internet and 3G mobile network connections as indicators, and decomposes and evaluates
the constituent factors. Our findings reveal a positive effect of ICTs on rural households’
TFP, which primarily stemmed from rising agricultural technical efficiency. However, ICTs
exerted no significant effect on agricultural technical progress during this paper’s data
period due to limited rural human capital. These findings are consistent with robustness test
results based on counterfactual and matching methods.
14 pgs., The provision of farm management decision support and advisory services to insure climate resilient agricultural production systems, especially for subsistence farmers, depends on data on such producers. The main objective of the paper was to generate such data by comparing the status quo regarding dryland, subsistence grain farmers’ perceptions of climate variability, their adaptation strategies and crop productivity. Using a survey questionnaire, the comparison was made across time (2014 and 2017) in selected municipalities of Limpopo province. The findings across time and aggregated for all the different local municipalities investigated were similar regarding respondents’ perceptions of climate variability, adaptation strategies used and crop productivity. The perceptions revealed that respondents were aware of the reality of climate variability and its negative effects on their crop and livestock production, Agricultural productivity amongst extension and non-extension recipients was low, with minimal differences. These findings auger well for the development of common strategies to improve the effectiveness of the support for farm management including climate variability that is provided by the public agricultural extension service to the group of producers in this study to reduce the negative effects of climate variability on their crop productivity. This will eventually help to improve their food security.
12 pages, Development in Sub-Saharan Africa (SSA) is adversely affected by climate variability and change due to the dependence of its economies and livelihoods primarily on rain-fed agriculture. Agro-advisories boost informed decision-making as well as planning of farm activities. The purpose of this study was to characterize the pathways through which farmers receive usable location-specific agro-advisories as well as to evaluate the effect of the socio-economic environment in the access to such information. Data was collected from 400 randomly selected households in lower eastern Kenya in a cross-sectional survey. Multivariate probit regression was used to determine the factors influencing the choice of pathways used in accessing climate change adaptation information. Household socio-economic characteristics that were found to be significant in explaining access to disseminated agro-advisories include phone and radio ownership, level of education, marital status, and farm size among others. Based on these findings a conclusion is made that the socio-economic environment within which information is disseminated is vital in determining those who access information and probably act on it. Additionally, pathways found to be complementary or substitutable give information providers new insights on the channels to use in information dissemination. The study recommends that these factors be considered in efforts geared towards promoting agro-advisory preparation and dissemination to improve adaptation to climate variability and change in dryland areas.
