ICRISAT Archival Report 2010

oader production and market constraints for chickpea in Ethiopia, the data from the 400 households will be
relevant in evaluating the adoption and impact of the TL-II project.
A repeat survey for the same households was made in 2010. Only 663 households could be interviewed, giving
an attrition rate of about 5 %. The main reasons for attrition were refusal to be re-interviewed and missed
identity of the household, where the identity of the household did not match that of the first survey.
Table 1: Regional distribution of survey respondents
Districts
Total
households
(Number)
Total
Kebeles
(Number)
Sample
Kebeles
(Number)
Sampled households
(Number )
2008 2010
Gimbichu 12,316 10 8 149 148
Lume-Ejere 14,563 13 8 300 275
Minjar-Shenkora 14,991 18 10 251 240
All 41,870 41 26 700
663
In Malawi, the baseline survey had been conducted in 2008. A combination of stratified and purposive sampling
methods had been used to select four districts (Chiradzulu, Thyolo, Balaka and Mchinji) that were included in
the baseline survey. An early adoption / repeat survey was conducted in July-August 2010 in the same districts
and the same households. This has led to the creation of a panel data for the sampled households. In each of the
selected districts, during the baseline, the first stage in household selection involved the purposeful selection of
the four largest groundnut-producing Sections (for the groundnut producing zones), or the four largest
pigeonpea producing sections (for the pigeonpea producing districts). This led to the selection of four (4)
sections in each district and consequently 16 sections for the study area. Second, a complete list of all the
villages in each section was drawn with the help of the heads of Extension Planning Areas (EPA) and their staff.
Three villages were randomly selected from each section. Third, a complete list of all farm families was then
drawn for each of the randomly sampled villages. Thirteen farmers were randomly sampled from a list of farm
families in each village. This led to the sampling of 594 households for the baseline household survey.
In Tanzania, the data for the baseline had been collected by the International Crops Research Institute for the
semi-Arid Tropics (ICRISAT), in collaboration with the Selian Agricultural Research Institute (SARI) between
November and December 2008. The data were collected through a household survey conducted in four key
pigeonpea growing Districts in the Northern Zone: Kondoa, Karatu, Babati and Arumeru. In each District, three
major pigeonpea growing Divisions were selected and two Wards sampled in each of the Divisions. Twenty five
farmers were then randomly sampled from a list of farm families in each village and ward. A total of 613 farm
households were surveyed using a standardized survey instrument administered by trained enumerators.
An early adoption / repeat survey was conducted in October-November 2010 in the same districts and the same
households which has led to the creation of a panel data for the sampled households. Data collected includes
household composition and characteristics, land and non-land farm assets, livestock ownership, household
membership in different rural institutions, farmer knowledge and cultivation of improved varieties, inputs used
costs of production, yield data for different crop types, indicators of access to infrastructure, household market
participation, household income sources and major consumption expenses.
Main findings/Results:
Data for Ethiopia was entered in SPSS for analysis. Due to the resignation of the lead scientist a consultant was
hired to make the analysis and write the report for Ethiopia, which will be completed by February 2010. The
analysis will use data for the 633 households for which we have panel data.
Data from a repeat survey collected from Malawi was entered in SPSS for analysis. The analysis of the data has
just begun and a report on early adoption and Impact will be completed by March 2010. The analysis will use
data for the households for which we have panel data. The data from Tanzania is not yet entered in SPSS as data
collection will end on the 15 th of November 2010. However, results based on the baseline data analysis indicate
that there is significant potential for increasing the adoption of improved legume varieties in Eastern Africa.
Lessons from this analysis showed that a critical constraint to the adoption of improved legume varieties was
that farmers were not aware of these varieties. In Malawi, for example, where the overall adoption rate for
improved pigeonpea varieties was 14 percent, while we estimated that, if all growers were aware, the adoption
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