RAAIS: Rapid Appraisal of Agricultural Innovation Systems (Part I). A diagnostic tool for integrated analysis of complex problems and innovation capacity

Abstract

This paper introduces Rapid Appraisal of Agricultural Innovation Systems (RAAIS). RAAIS is a diagnostic tool that can guide the analysis of complex agricultural problems and innovation capacity of the agricultural system in which the complex agricultural problem is embedded. RAAIS focuses on the integrated analysis of different dimensions of problems (e.g. biophysical, technological, socio-cultural, economic, institutional and political), interactions across different levels (e.g. national, regional, local), and the constraints and interests of different stakeholder groups (farmers, government, researchers, etc.). Innovation capacity in the agricultural system is studied by analysing (1) constraints within the institutional, sectoral and technological subsystems of the agricultural system, and (2) the existence and performance of the agricultural innovation support system. RAAIS combines multiple qualitative and quantitative methods, and insider (stakeholders) and outsider (researchers) analyses which allow for critical triangulation and validation of the gathered data. Such an analysis can provide specific entry points for innovations to address the complex agricultural problem under study, and generic entry points for innovation related to strengthening the innovation capacity of agricultural system and the functioning of the agricultural innovation support system. The application of RAAIS to analyse parasitic weed problems in the rice sector, conducted in Tanzania and Benin, demonstrates the potential of the diagnostic tool and provides recommendations for its further development and use.

Towards a Framework to Guide the Evaluation of Inclusive Innovation Systems

“…The first set assesses each method or approach according to its functionality as an evaluation methodology. These criteria were based on those defined by Schut et al [8] and by various other authors from the review. To summarise, these criteria are:…”

“…It also enables the identification of the different dimensions of complex IS problems and structural conditions that induce or block innovative capacity. Quantitative data analysis complements qualitative data by providing descriptive trends and statistical data [8]. 2.…”

Analysis of Bahian Cigar Production Chain

“…[26] RA were used in the study of Agricultural Innovation Systems in order "to guide the analysis of complex agricultural issues and the capacity for innovation of agriculture". [27] It proved to be an efficient methodology for public opinion, [28] as for understanding the structure and markets. [29] The snowball sampling method were used in RA for identification of the participants, and collection were done in secondary sources.…”

Self-Organization and the Bypass: Re-Imagining Institutions for More Sustainable Development in Agriculture and Food

“…This has included emphasis on strengthening Agricultural Innovation Systems [38][39][40], intermediation and brokerage processes [41], management of competing claims [42], design of multi-stakeholder platforms [43], as well as linking agriculture development to agribusiness and supply chains and private industry [44]. The innovation system approaches are applied as means of addressing issues holistically as well as taking into account the context.…”