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Participatory analytic hierarchy process for resource allocation in agricultural development projects.
Pietro De Marinis1, Guido Sali1
1Department of Agricultural and Environmental Science of the University of Milan, Via G. Celoria 2, 20133, Milano, Italy.
Participatory Analytic Hierarchy Process (PAHP) aids sustainable agriculture development. This method helps elicit criteria and allocate resources effectively for agricultural projects in the Democratic Republic of Congo.
Area of Science:
- Sustainable agriculture
- International aid
- Operational planning
Background:
- Sustainable agriculture is central to the 2030 Agenda.
- Participatory approaches are crucial for successful international aid initiatives.
- Identifying sustainable agricultural development projects requires effective planning tools.
Purpose of the Study:
- To investigate the use of Participatory Analytic Hierarchy Process (PAHP) for agricultural development projects.
- To apply PAHP for choice criteria elicitation and resource allocation.
- To assess PAHP's effectiveness in operational planning for agricultural projects in Goma, DRC.
Main Methods:
- Utilized a modified Analytic Hierarchy Process (AHP), known as PAHP.
- Employed pairwise comparison matrix inconsistencies to facilitate discussion and consensus-building.
- Applied the methodology for resource allocation in agricultural development projects.
Main Results:
- PAHP facilitated elicitation of choice criteria and resource allocation.
- The method helped in adjusting local preferences and building group consensus.
- PAHP proved effective for training project teams and identifying shared resource allocation patterns.
Conclusions:
- PAHP is a valuable tool for operational planning in agricultural development.
- The methodology supports sustainable agricultural initiatives aligned with international guidelines.
- PAHP enhances participatory decision-making and resource management in international aid projects.
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