Year Published
- 2008 (1) Apply 2008 filter
- 2009 (2) Apply 2009 filter
- 2010 (2) Apply 2010 filter
- (-) Remove 2011 filter 2011
- 2012 (0)
- 2013 (0)
- 2014 (0)
- 2015 (0)
- 2016 (1) Apply 2016 filter
- 2017 (3) Apply 2017 filter
- 2018 (1) Apply 2018 filter
- (-) Remove 2019 filter 2019
- 2020 (0)
- 2021 (1) Apply 2021 filter
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (1) Apply Smallholder Farmers filter
- Women (0)
Types of Research
- (-) Remove Data Analysis filter Data Analysis
- (-) Remove Literature Review filter Literature Review
- Portfolio Review (0)
- Research Brief (0)
Geography
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- Global (0)
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (0)
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- West Africa Region and Selected Countries (0)
Dataset
- ASTI (0)
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (3) Apply LSMS & LSMS-ISA filter
- Other Datasets (1) Apply Other Datasets filter
Current search
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- (-) Remove Development Finance & Policy filter Development Finance & Policy
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove Literature Review filter Literature Review
- (-) Remove Data Analysis filter Data Analysis
- (-) Remove 2019 filter 2019
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- (-) Remove 2011 filter 2011
Studies of improved seed adoption in developing countries almost always draw from household surveys and are premised on the assumption that farmers are able to self-report their use of improved seed varieties. However, recent studies suggest that farmers’ reports of the seed varieties planted, or even whether seed is local or improved, are sometimes inconsistent with the results of DNA fingerprinting of farmers' crops. We use household survey data from Tanzania to test the alignment between farmer-reported and DNA-identified maize seed types planted in fields. In the sample, 70% of maize seed observations are correctly reported as local or improved, while 16% are type I errors (falsely reported as improved) and 14% are type II errors (falsely reported as local). Type I errors are more likely to have been sourced from other farmers, rather than formal channels. An analysis of input use, including seed, fertilizer, and labor allocations, reveals that farmers tend to treat improved maize differently, depending on whether they correctly perceive it as improved. This suggests that errors in farmers' seed type awareness may translate into suboptimal management practices. In econometric analysis, the measured yield benefit of improved seed use is smaller in magnitude with a DNA-derived categorization, as compared with farmer reports. The greatest yield benefit is with correctly identified improved seed. This indicates that investments in farmers' access to information, seed labeling, and seed system oversight are needed to complement investments in seed variety development.
This is "Section B" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of household characteristics by gender and by administrative zone, considering landholding size, number of crops grown, yields, livestock, input use, and food consumption.
This is "Section G" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of data related to consumption of priority foods, total value of consumption, levels of food consumption and production, including analyses by zone in Tanzania. We find, for example, that the mean total value of household consumption was higher for agricultural households (US$27.28) compared to non-agricultural households (US$26.59), but the mean per capita value of household consumption was higher for non-agricultural households (US$7.32) compared to agricultural households (US$5.24). The mean per capita value of weekly consumption for the Southern zone was only US$5.34, compared to the highest mean per capita value of US$6.63 in the Eastern zone. The Central zone still had the lowest per capita value of consumption at US$4.40.
This is the introductory section of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present an overview of report sections, as well as an executive summary of findings on crops and livestock, constraints to productivity, and productivity and nutrition outcomes.
Asset-Based Community Development (ABCD) is a development framework which focuses on the capacities, skills and social resources of people and their communities, rather than initially focusing on the needs, deficiencies, constraints and problems of a community.1 This document contains three sections. The first section summarizes several papers which either (1) apply ABCD or similar asset-focused development frameworks in a rural/agricultural context and to development in Sub-Saharan Africa, or (2) provide general guidance on the implementation of ABCD approaches to development. The second section provides more detail on how Oxfam and the Coady International Institute have applied ABCD in Ethiopian communities.
Finally, in order to provide an example of how ABCD might be applied to a Foundation project, the third section briefly notes how an ABCD strategy might differ from the Foundation’s proposed constraints-based Bihar strategy.