Working through collaborative alliances with numerous national and regional R&D agencies and international institutions, Agricultural Science and Technology Indicators (ASTI) is a comprehensive and trusted source of information on agricultural

This data study includes social accounting matrix (SAM) for Tanzania for the year 2015. The SAM is an extension of the Standard Nexus structure.

To guide economy-wide modeling efforts to identify specific public investments under Tanzania’s second Agricultural Sector Development Programme (ASDP II), this report provides an analysis of the performance of the rural economy of mainland Tanzan

Ensuring nutritionally adequate food supply in Africa south of the Sahara requires the sustainable intensification (SI) of its agricultural sector, especially in the face of expected population growth and climatic changes.

Small-Scale Irrigation (SSI) interventions, like other development interventions, need to take into account men’s and women’s context-specific roles in agriculture and their related gender-based preferences and challenges.

The purpose of this paper is to document the different steps followed to construct the 2015 Social Accounting Matrix for Tanzania. The SAM is an extension of the Standard Nexus Structure.

Dans cet article nous étudions la sensibilité des modèles d’équilibre général aux modes de bouclage macroéconomique à l’aide du modèle standard de l’IFPRI appliqué au Nigeria et à la Tanzanie.

In this paper, we study the sensitivity of computable general equilibrium (CGE) models to the choice of macroeconomic closure rule using the case of the standard IFPRI model for Nigeria and Tanzania.

The current transformation of the agricultural sector in many African countries has been perceived to be connected to land resources and the quest to advance agriculture as a commercial enterprise.

Millions of very poor people who depend on agriculture are frequently exposed to shocks due to extreme weather and volatile prices. Even with strong agricultural growth, an estimated 400 million people will remain at risk of hunger in 2030.

In its 5th year of Phase I, A4NH has validated its core areas of research, taking many to scale while also broadening its Phase II portfolio

This paper complements the gender and technology adoption literature by shifting attention to what happens after adoption of a technology.

Producing adequate food to meet global demand by 2050 is widely recognized as a major challenge, particularly for Africa south of the Sahara, including Tanzania (Godfray et al. 2010; Alexandratos and Bruinsma 2012; van Ittersum et al. 2016).

This study used geospatial analysis to delineate sustainable recommendation domains (SRDs) for scaling improved crop varieties and good agronomic practices in Tanzania

Rigorous impact evaluations on agricultural interventions have proliferated in research of recent years.

This dataset include survey instrument and data used in a collaborative technology adoption study conducted by the Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) and IFPRI.

At roughly 4% per annum, labor productivity in Tanzania has grown more rapidly over the past 14 years than at any other time in recent history.