| Application |
Impacts |
How the impacts can be enhanced |
| ILRI recently completed a study to locate poor livestock keepers
in the developing world and evaluated how these populations are
likely to change – due to climate and demography - in the
next 3-5 decades (16). |
This will assist in targeting pro-poor initiatives that support
livestock research. |
Considerable work is needed to indicate hotspots of change and
to develop consensus on poverty criteria. Funding, training, collaboration,
etc. is need to further support such research. |
| CIAT conducted an assessment to evaluate the impact of the introduction
of disease resistant bean varieties on poverty alleviation in Honduras
(17). |
The study indicated that 40% of the economic benefits from new
varieties occurred in areas of moderate to extreme poverty. Small
farmers benefited from the use of disease resistant species through
increased production and income. |
|
| Poverty maps could be used to improve the targeting and cost-effectiveness
of Malawi’s “starter pack” program, a poverty
reduction effort that has distributed fertilizer and seeds to rural
households (1, 2). |
This could improve the targeting and increase the cost-effectiveness
of the “starter program”, which previously used US$30
million to distribute fertilizer and seeds to approx 2.8 million
rural households (1998-2000) in Malawi. |
Logistical support is needed to ensure thorough and reliable
data collection and documentation. Survey and census data collection
procedures should be revised to help accommodate poverty map development
(e.g., including georeferenced locations in surveys, revision of
key survey questions, etc.). |
