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
16 pages, via online journal, We examine important changes in agriculture in Vietnam in the context of ongoing structural changes in the economy. We use a household-level panel dataset and a quantitative framework to document the extent and consequences of factor misallocation in agriculture during the period between 2006 and 2016. Despite rapid growth in agricultural productivity and a reallocation of factor inputs to more productive farmers, we find that misallocation across farmers remains high and increased during the period. Reallocation of factor inputs has not been strong enough to accommodate substantial changes in farm productivity over time. Our analysis also reveals important differences between the north and south regions.
Online via UI Library Catalog search. 10 pages., Findings of a survey among a sample of 100 farmers in District Sargodha revealed 99% used agricultural radio/TV/FM, 96% used mobile phones, 66% used magazines/newspapers/periodicals, and 61% used social media. Respondents placed highest value on enhancing their productivity.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 131 Document Number: D11321
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17 pages., Paper presented at the 8th EAAE PhD student workshop, Swedish University of Agricultural Sciences, Uppsala,Sweden, June 10-12, 2019., Authors analyzed household behavior in adoption of chickpea as an improved crop, as well as the crop's impact at farm level and grower experiences with it.
26 pages, Agricultural productive services are an important means to achieve effective allocation of regional resources and play an important role in ensuring food security and improving farmers’ welfare. However, the development process of agricultural productive services still faces problems such as large differences in service levels in different segments and low participation rates in the full service. In order to investigate the influential paths of the low participation rate of farmers in the full-service process, this study takes maize farmers in northeast China as the research object. Based on 937 survey data from six cities in three northeastern provinces, we used the Item Response Theory (IRT) model to measure farmers’ information acquisition ability and constructed the Heckman two-stage model and the IV-Heckman model to analyze the logical framework of “information acquisition ability—farmers’ choice of productive agricultural services”. The main findings are as follows: firstly, the more channels there are, the stronger the farmers’ channel internalities; the higher the degree of channel differentiation, the stronger the farmers’ channel internalities. Second, after addressing the sample selection bias and endogeneity, there is a small rise in the facilitation effect of information acquisition ability on farmers’ productive agricultural service behavior. Third, this facilitation effect is achieved through farmers’ perceived usefulness of productive agricultural services, and the mediating effect of perceived ease of use is not significant. Therefore, fostering farmers’ self-perceptions and optimizing information delivery strategies are effective ways to promote farmers’ choice of agricultural productive services and to facilitate the modernization of Chinese agriculture. In general, this study helps to reveal the theoretical mechanism of farmers’ information asymmetry, and provides empirical evidence for how to promote the development of agricultural productive services.
