Poverty reduction programmes, background document

Workshop on the Impacts of Poverty Maps:
Past Experiences and New Applications, Brussels Workshop, May 21st, 2003

Application Impacts How the impacts can be enhanced
District level poverty maps will be used in Vietnam’s Comprehensive poverty Reduction and Growth Strategy. The use of poverty maps is anticipated to improve targeting of poverty alleviation efforts in Vietnam’s CPRGS, which amongst other things, aims to:Provide new jobs to approximately 1.4-1.5 million people per yearImprove education quality especially for the poor (approximately US$ 1 billion) Provide clean water to 85% of the rural populationUpgrade irrigation servicesStrengthen grass-roots health services (US$820 million) Upgrade information disseminationImprove roadsExpand social protection and credit opportunities to poor households. Coordination of investment in poverty mapping development, analysis, distribution, and use is needed, although a relatively small investment in poverty mapping can have an impact on improved targeting of billions of dollars. There is also a need to build local capacity in poverty mapping and spatial analysis, and to combine expertise from different sectors.
Mexico’s poverty map is being used by the ministry of social development in several of its poverty alleviation programs. The use of poverty maps will inform and improve the targeting of around 20 different poverty alleviation programs. Some of these programs influence an estimated 4.8million poor households, providing education, employment opportunities, and nutrition services to approximately 600,000 families in extreme poverty. Awareness needs to be raised on the potential multiple uses of poverty maps.
The Government of Senegal is using poverty mapping to help coordinate a wide variety of government activities related to implementing the National Poverty Reduction Strategy. Poverty maps have been used in parliament to help facilitate discussion. The poverty maps are providing an important lobbying tool for clear and transparent targeting. Additional research needs to be conducted to better integrate cultural and social perceptions of poverty into maps. This will help ensure more effective and democratic use of poverty maps.Greater understanding is also needed about how decision makers make decisions, and how information can be best presented to influence them.
The Government of Nicaragua heavily relies on Nicaragua’s poverty map in its Strengthened Growth and Poverty Reduction Strategy. Using poverty maps will improve the allocation of US$1.1 billion in Nicaragua’s SGPRS funds over five years (2001-05), by helping to identify poor regions and marginalized communities, influencing the development of new health clinics and upgrading hospital services, influencing investment in education in especially poor areas, promoting increased participation by civil society and transparent decision making. Poverty maps should be used together with other tools and methods including community consultations and sector-specific indicatorsThe use of a collaborative, multi-institutional approach in developing Nicaragua’s poverty map has encouraged its use.
Brazil’s “Alvorada Program”, aims to improve the quality of life of the extreme poor. This programme used the poverty map which was derived from Human Development Indicators. The use of poverty maps influenced the allocation of approximately US$4.2 million in Brazil’s Alvorada Program funds (2000-02), and provided Brazil’s poorest municipalities with:Literacy training to more than 1 million young adults (aged 15-29) and remedial courses to 525,000 students; Safe water and sanitation to more than 1.3 million families and 16,000 schools; 6,000 new family health care teams to serve 31 million people.Improved renewable energy services by providing solar kits to 12,000 schools and health care posts.The programme also transferred US$108 million for infrastructure and development programs, and ignited media and local policy debates in which reference to the HDI has become common. The data used in constructing poverty maps must be carefully chosen, verified and properly referenced: One Brazilian municipality attempted to sue UNDP over its HDI ranking, not realizing that the indicator was based on older (1991) data.
Provincial and municipal government departments in Ecuador have used socio-economic indicators in participative community planning. The maps were made from small area estimation of poverty at the canton and parish level and combined with biodiversity data. Using poverty maps helped to democratize decision making by identifying, verifying, and prioritizing community needs.In the Cotopaxi province the participative planning process involved 300 grassroots delegates including a significant proportion of indigenous population representation.In the Guatamote province poverty maps were in part responsible to redirect greater financial support to rural areas: 75% of the county’s budget is currently directed to rural areas, compared to the previously allocated 25%. Extensive training to government officials, decision makers, NGO planners, and other users is needed to help ensure that poverty map and analysis results are correctly interpreted, integrated, and used. Active participation of potential users in designing indicators and maps is required to further stimulate data use.