Year Published
- 2008 (2) Apply 2008 filter
- 2009 (1) Apply 2009 filter
- 2010 (15) Apply 2010 filter
- 2011 (9) Apply 2011 filter
- 2012 (15) Apply 2012 filter
- 2013 (6) Apply 2013 filter
- (-) Remove 2014 filter 2014
- 2015 (1) Apply 2015 filter
- 2016 (3) Apply 2016 filter
- 2017 (2) Apply 2017 filter
- (-) Remove 2018 filter 2018
- 2019 (2) Apply 2019 filter
- 2020 (0)
- 2021 (0)
Research Topics
Populations
- Countries/Governments (1) Apply Countries/Governments filter
- Rural Populations (0)
- Smallholder Farmers (0)
- Women (0)
Types of Research
Geography
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- Global (1) Apply Global filter
- (-) Remove South Asia Region and Selected Countries filter South Asia Region and Selected Countries
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (2) Apply Sub-Saharan Africa filter
- (-) Remove West Africa Region and Selected Countries filter West Africa Region and Selected Countries
Dataset
- ASTI (0)
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (2) Apply LSMS & LSMS-ISA filter
- Other Datasets (1) Apply Other Datasets filter
Current search
- (-) Remove West Africa Region and Selected Countries filter West Africa Region and Selected Countries
- (-) Remove South Asia Region and Selected Countries filter South Asia Region and Selected Countries
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove Health filter Health
- (-) Remove Market & Value Chain Analysis filter Market & Value Chain Analysis
- (-) Remove 2014 filter 2014
- (-) Remove 2018 filter 2018
- (-) Remove Poverty filter Poverty
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- (-) Remove Labor & Time Use filter Labor & Time Use
In this brief, we report on measures of economic growth, poverty and agricultural activity in Ethiopia. For each category of measure, we first describe different measurement approaches and present available time series data on selected indicators. We then use data from the sources listed below to discuss associations within and between these categories between 1994 and 2017.
Donors and governments are increasingly seeking to implement development projects through self-help groups (SHGs) in the belief that such institutional arrangements will enhance development outcomes, encourage sustainability, and foster capacity in local civil society – all at lower cost to coffers. But little is known about the effectiveness of such institutional arrangements or the potential harm that might be caused by using SHGs as ‘vehicles’ for the delivery of development aid. This report synthesizes available evidence on the effectiveness of Self-Help Groups (SHGs) in promoting health, finance, agriculture, and empowerment objectives in South Asia and Sub-Saharan Africa. Our findings are intended to inform strategic decisions about how to best use scarce resources to leverage existing SHG interventions in various geographies and to better understand how local institutions such as SHGs can serve as platforms to enhance investments.
Suggested Citation:
Anderson, C. L., Gugerty, M. K., Biscaye, P., True, Z., Clark, C., & Harris, K. P. (2014). Self-Help Groups in Development: A Review of Evidence from South Asia and Sub-Saharan Africa. EPAR Technical Report #283. Evans School of Public Policy & Governance, University of Washington. Retrieved <Day Month Year> from https://epar.evans.uw.edu/sites/default/files/epar_283_shg_evidence_review_brief_10.23.20.pdf
The purpose of this analysis is to provide a measure of marketable surplus of maize in Tanzania. We proxy marketable surplus with national-level estimates of total maize sold, presumably the surplus for maize producing and consuming households. We also provide national level estimates of total maize produced and estimate “average prices” for Tanzania which allows this quantity to be expressed as an estimate of the value of marketable surplus. The analysis uses the Tanzanian National Panel Survey (TNPS) LSMS – ISA which is a nationally representative panel survey, for the years 2008/2009 and 2010/2011. A spreadsheet provides our estimates for different subsets of the sample and using different approaches to data cleaning and weighting. The total number of households for Tanzania was estimated with linear extrapolation based on the Tanzanian National Bureau of Statistics for the years 2002 and 2012. The weighted proportions of maize-producing and maize-selling households were multiplied to the national estimate of total households. This estimate of total Tanzanian maize-selling and maize-producing households was then multiplied by the average amount sold and by the average amount produced respectively to obtain national level estimates of total maize sold and total maize produced in 2009 and 2011.