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This paper characterizes the various impact patterns generated by an agricultural public research organization (PRO), namely INRA (National Institute for Agronomic Research). We define an impact pattern as the combination of specific research outputs with specific actors that generates various types of impact. The analysis is based on information related to more than a thousand INRA innovations for which research outputs, beneficiaries, and impacts, have been codified. A classification based on the Partitioning Around Medoids (PAM) method is used to identify the seven main impact patterns.
There are two patterns that correspond to traditional INRA interventions to foster agricultural sector competitiveness; two that are related to innovations in health and economic issues; and two that have impacts on the conservation of natural resources. The seventh involves scientific advice related to public policy decisions. The research outputs and beneficiaries differ across these impact patterns. For example, those with economic impacts are more related to the agricultural sectors while impact patterns in the area of health affect industrial firms.
