Can the poor influence policy?: participatory poverty by Caroline M. Robb

By Caroline M. Robb

The second one version of this e-book info tips to contain the terrible utilizing the Participatory Poverty overview (PPA) technique. this technique used to be built by means of the realm financial institution in partnerships with NGOs, executive, and educational associations and has been applied in over 60 international locations world wide over the past decade. Participatory Poverty tests are highlighting the possibly major position the terrible can play in reading poverty, constructing interventions for poverty relief, and comparing the impression of tasks and regulations. This publication additionally attracts on new PPA case examples.

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Centre for Development of People (CEDEP) in Ghana, CARE in Cameroon, African Medical and Research Foundation (AMREF) in Kenya, Red Cross in Lesotho, Save the Children in Mali). International agencies have also been involved in the research process (UNDP in Togo, UNICEF in Lesotho). In South Africa, a local consulting company worked alongside a cross-section of NGOs, whereas in Mozambique and Zambia, local universities were involved. , the government poverty agency in Mexico). Some PPAs have used teams experienced in participatory research, as in Zambia, where the research team was given additional training in Page 11 participatory rural appraisal (PRA) methods for the PPA exercise.

In this tradition, PPAs use a systematic participatory research process that directly involves the poor in defining the nature of poverty, with the objective of influencing policy. This process usually addresses both traditional concerns such as lack of income and public services and other dimensions such as vulnerability, isolation, lack of security and self-respect, and powerlessness. PPAs are also highlighting the fact that policy change involves more than writing statements of intent in a policy document.

If the PPA comes first, its results can help focus the research agenda for the quantitative survey and generate hypotheses. In Armenia, for example, the results of the PPA were used in designing the survey. When PPAs have been conducted after the survey, they have been used to explain the results. For example, in Mali the household survey showed what seemed to be a disproportionate amount of money spent on clothing. The PPA found that clothing and cloth were considered investment items as well as status symbols.

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