This study examined the integration of traditional environmental knowledge systems (TEKS) and modern environmental knowledge systems (MEKS) for improving the productivity of arable land and pastureland in Upper-Kitete Village, Karatu District, Tanzania. Structured interviews were conducted with 100 adults (50 males and 50 females) selected from areas of the village with different land uses. In-depth interviews were also conducted with 21 respondents, and five focus group discussions were held, each with seven participants. Participants were asked questions regarding their knowledge and use of traditional and modern farming and livestock keeping practices for improving productivity. Participatory Rural Appraisal (PRA) techniques were employed in collecting primary data. Data were also collected from secondary sources.
A Diagnostic Manufacturing Competitiveness Study: Challenges, Prospects & Policy Options for Tanzania
This study has attempted to define and measure competitiveness of Tanzanian Manufacturing sector within a small set of indicators, and informed by the context of the study based on its Terms of reference. Overall, we find that the level of Tanzania’s manufacturing competitiveness has been improving gradually since 2007.
This report highlights the state of business environment in Tanzania by presenting both the trends and current status of key areas affecting DB. The next section set the analytical stage by outlining the conceptual framework followed by methodology (section 3) and review of policies (section 4). Section 5 as the core section of the report, […]
Geita Gold Mine, Tanzania This study assessed the contribution of Geita Gold Mine (GGM) to the livelihoods of local communities in Geita District. Specifically, it assessed the effectiveness of corporate social responsibility implementation, determined the extent to which GGM
This study assessed the targeting approaches used in social protection initiatives to improve the livelihoods of the Most Vulnerable Children (MVC). A cross-sectional study was carried out in Singida District and Singida municipality and relied on mixed methods in data collection and analysis.