This paper draws on data collected during 12 months of fieldwork in Northern Ghana. The fieldwork researched two communities in two districts of Northern Ghana and three Agricultural Development Agencies (ADA); Savanna Agricultural Research Institute (SARI), the Ministry of Food and Agriculture (MOFA) and World Vision Ghana (WVG). Data collection was achieved through formal surveys, Focus Group Discussions (FGDs) and observations. A total of 120 individual interviews were conducted for the formal survey guided by the questionnaire.
The paper specifically proposes a framework to detect and quantify non-linear consequences in response to progressively deteriorating chain fragility factors. The paper’s approach is a novel alternative to the traditional value chain ‘risk assessment’.
Seasonal patterns in production and demand are common in many agricultural markets. Charting these patterns provides information that complements fundamental and technical analyses. It is in this spirit that this paper seeks to examine price seasonality in the catfish value chain in Uganda. The analysis draws on monthly prices taken from secondary source recorded data and uses moving average index to chart price patterns
The Participatory Market Chain Approach (PMCA), which aims to stimulate gender-responsive innovations in commodity chains, was used to improve the performance of ALVs market chains in central Uganda. This paper presents the results of applying the PMCA in a phased manner on the Indigenous African Leafy Vegetables (ALVs) commodity chain in the context of a collaborative research project implemented in central Uganda
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
This paper examines the determinants of participation in an outsourced extension programs and its impact of smallholder farmers' net farm income in Msinga, KwaZulu-Natal, South Africa. A multi-stage sampling technique was used to obtain cross-sectional farm-level data from a sample of 300 farm households, using a structured questionnaire for the interview. The determinants and impacts of participation were estimated using the propensity score matching (PSM) to account for sample selection bias.
In this paper, is first described the design and development process of a modular ICT application system called GeoFarmer. Geofarmer was designed to provide a means by which farmers can communicate their experiences, both positive and negative, with each other and with experts and consequently better manage their crops and farms. We designed GeoFarmer in a collaborative, incremental and iterative process in which user needs and preferences were paramount.
In this paper, was analyzed farmers' preferences for high-input maize production supported by site-specific nutrient management recommendations provided by an ICT-based extension tool that is being developed for extension services in the maize belt of Nigeria. Was used a choice experiment to provide ex-ante insights on the adoption potentials of site-specific extension services from the perspective of farmers. We control for attribute non-attendance and account for class as well as scale heterogeneity in preferences using different models, and find robust results.
This study, evaluates the intervening influence of extension services on livelihood impacts of drought tolerant maize adoption and the potential mechanisms through which extension can enhance or reduce impact of drought tolerant maize using cross-sectional household level data from smallholder maize producers in Zimbabwe. Specifically, we examine whether access to agriculture extension services influences the relationship between livelihood outcomes and the adoption of drought-tolerant maize varieties in selected districts in the country
Globally, the role of extension agents in scaling up the utilization of Climate Smart Agricultural Initiatives (CSAI) by farmers remains very crucial. This study examined the determinants of the involvement of extension agents in the dissemination of CSAI to farmers. A two-staged random sampling technique was used to elicit information from 277 extension agents in South West Nigeria using a structured questionnaire. Data were analysed using frequency counts, percentage and linear regression analysis