Determining international agricultural research priorities
ACIAR was established in 1982 as a statutory authority within the Commonwealth Government’s Ministry of Foreign Affairs and Trade. ACIAR’s mission is to reduce poverty, improve food security and promote sustainable natural resource management through international agricultural research partnerships for the benefit of developing countries and Australia (ACIAR 1997).
From its inception, ACIAR was interested in setting priorities for international agricultural research. These priorities can be summarised in the form of a priority table for each country or region. For each country or region, the priority table is a listing of agricultural commodities grouped into six priority categories. This table is used to screen projects to ensure that funds are targeted first towards commodities in high-priority categories. The priority tables are not prescriptive. However, when funds are directed to the commodities in the high priority categories, this is likely to result in more research benefits than if funds are spent on lower priority commodities.
This form of ‘big picture’ or aggregate priority setting is necessary for an agency such as ACIAR which funds research covering a wide range of agricultural commodities in many countries throughout Asia, the South Pacific and Africa. ACIAR has an annual budget of about A$44 million.
This monograph contains results from recent analyses of research priorities for a range of countries and commodities of interest to National Agricultural Research Systems (NARS) in developing countries and to agencies involved in international agricultural research. The analyses are ex-ante, and are for planning the allocation of research resources. By definition, exante analyses estimate future research benefits to be realised if, and only if, the research is undertaken and the target users adopt the research results. Ex-ante analyses establish the magnitude of benefits likely to accrue from research before the research is undertaken. This type of analysis takes into account technological, social and economic constraints pertaining to the problem addressed by research.