This paper uses a Rural Investment and Policy Analysis (RIAPA) model for the mainland Tanzania economy to identify the agricultural activities and value-chains whose expansion will be most effective at fostering economic development along four dimensions: generating economic growth in the agricultural-food sector of Tanzania; reducing national and rural poverty; generating employment; and improving nutrition by diversifying dietsThe results of scenarios run through the model suggests that there is no single value-chain that can achieve all of the policy objectives.
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.
This study was part of a larger project that applied an integrated framework for combined nutritional, food safety and value chain analysis to assess the dairy value chain in two regions of Tanzania, namely Morogoro and Tanga. Here, we report on the use of participatory rural appraisals (PRAs) with producers and consumers to investigate seasonality, constraints and opportunities in cow milk production and consumption in ten villages in Tanzania and describe attitudes and practices surrounding milk quality and safety.
What are key characteristics of rural innovators? How are their experiences similar for women and men, and how are they different? To examine these questions, this study draw on individual interviews with 336 rural women and men known in their communities for trying out new things in agriculture. The data form part of 84 GENNOVATE community case studies from 19 countries. Building on study participants’ own reflections and experiences with innovation in their agricultural livelihoods, we combine variable-oriented analysis and analysis of specific individuals’ lived experience.
This study aims to explore how the Positive Deviance approach can be adapted to identify and prioritize rural development interventions for diverse farming households that pursue multiple objectives. We describe the adapted approach, consisting of three research steps, and a case study implementation in Tanzania. Based on this experience, the potential of the Positive Deviance approach for household-specific prioritization of multi-objective development opportunities is discussed
Poverty is prevalent and widespread in rural Tanzania, where agriculture is the main activity. The government is making significant public investments intended to speed the growth of agriculture as a means to accelerate inclusive economic growth. In line with public investments, the government is promoting public–private partnerships by encouraging the use of improved agricultural innovations and linking farmers to markets, seeking to increase their yields and income.
The Government's Tanzania Development Vision 2025 and the Five-Year Development Plan (FYDP II) set out ambitious goals for reducing poverty and sustainably industrializing so that the country can achieve middle-income status by 2025. The government recognizes agriculture as central to realizing its objectives of socioeconomic development, which are well-articulated in the Second Agriculture Sector Development Program (ASDP II).
Sustainable intensification (SI) is promoted as a rural development paradigm for sub-Saharan Africa. Achieving SI requires smallholder farmers to have access toinformation that is context-specific, increases their decision-making capacities, andadapts to changing environments. Current extension services often struggle toaddress these needs. New mobile phone-based services can help.
Here, it is described a new participatory protocol for assessing the climate-smartness of agricultural interventions in smallholder practices. This identifies farm-level indicators (and indices) for the food security and adaptation pillars of CSA. It also supports the participatory scoring of indicators, enabling baseline and future assessments of climate-smartness to be made. The protocol was tested among 72 farmers implementing a variety of CSA interventions in the climate-smart village of Lushoto, Tanzania.
Horticulture is one of the fastest growing subsectors of agriculture in Tanzania. Gender relations in vegetable-producing and vegetable-trading households need to be understood to make value chain development equitable. This study, carried out in northern and central Tanzania, is based on data from surveys, focus group discussions and semi-structured interviews. The perceptions of men and women traders and producers are investigated with regard to labour participation in traditional vegetable value chains and gains (income and expenditure) from it.