Agricultural mechanization is on the rise in Africa. A widespread replacement of manual labor and animal traction will change the face of African agriculture. Despite this potentially transformative role, only a few studies have looked at the effects of mechanization empirically, mostly focusing on yields and labor alone. This is the first paper that explores perceived agronomic, environmental, and socioeconomic effects together, thereby revealing linkages and trade-offs, some of which have been hitherto unknown. Data were collected using a novel data collection method called “participatory impact diagrams” in four countries: Benin, Kenya, Nigeria, and Mali. In 129 gendered focus group discussions, 1330 respondents from 87 villages shared their perceptions on the positive and negative effects of agricultural mechanization, and developed causal impact chains. The results suggest that mechanization is likely to have more far-reaching agronomic, environmental, and socioeconomic consequences than commonly assumed. Most perceived effects were positive, suggesting that mechanization can help to reduce poverty and enhance food security but other effects were negative such as deforestation, soil erosion, land-use conflicts, and gender inequalities. Accompanying research and policy efforts, which reflect variations in local agro-ecological and socioeconomic conditions, are needed to ensure that mechanization contributes to an African agricultural transformation that is sustainable from a social, economic, and environmental perspective.
Within the context of the FP7 JOLISAA project (JOint Learning in and about Innovation Systems in African Agriculture), an inventory of agricultural innovation experiences was developed in three African countries: Kenya, South Africa and Benin. The main objective was to assess a broad diversity of multi-stakeholder agricultural innovation processes involving smallholders. National teams used literature searches and interactions with a range of institutions and networks engaged in agricultural innovation to identify cases. Interviews with resource persons and field visits were also conducted to supplement the available / accessible documentation. The inventory was made according to a common analytical framework and guidelines inspired by the Innovation System perspective to allow for an analysis across cases and countries. The completed inventory includes 57 documented cases, covering a wide diversity of experiences, in terms of types, domains, scales and timelines of innovation. The 57 cases confirm previously documented features, such as the diversity of stakeholders involved in innovation, the diversity of innovation triggers, or also the frequent occurence of market driven innovation. It also illustrates more original features: the typically long time frames of innovation processes; the common occurrence of "innovation bundles" (a combination over time of technological, social and/or institutional innovations); and an often close relationship between innovation and externally-funded projects. National teams faced several challenges during the inventory process, including a common understanding and consistent use of key innovation-related concepts, and a difficult access to relevant information related partly to restrictions put by several case holders on sharing openly their experience. Out of the inventory, JOLISAA has selected thirteen cases which will undergo a subsequent phase of collaborative assessment. The assessment will strive to assess issues the inventory could not tackle, such as the actual roles and contributions of the various stakeholders, the dynamics of the innovation process, and the influence of the enabling environment on the innovation process and outcome.
Résumé -Cet article présente les résultats clés tirés de l'analyse transversale de 13 expériences d'innovation agricole menées au Bénin, au Kenya et en Afrique du Sud. L'évaluation a utilisé un cadre analytique commun inspiré de l'approche systèmes d'innovation pour comprendre comment l'innovation a évolué au fil du temps via les interactions entre différents acteurs et sous l'effet d'éléments déclencheurs et moteurs internes et externes. Menée de manière participative par des équipes mixtes de chercheurs, d'étudiants et d'acteurs locaux, elle s'est fondée sur des entretiens semi-structurés, des focus groupes et des ateliers multi-acteurs. Les 13 cas portent sur une diversité d'expériences en termes de domaines, types, échelles, durée, initiateurs de l'innovation et acteurs concernés. Les résultats montrent la multiplicité et le rôle des acteurs impliqués dans l'innovation, la nature des déclencheurs et moteurs de l'innovation. Ils montrent aussi l'importance de la prise en compte du temps long pour comprendre les processus d'innovation. Ils montrent enfin l'influence tant positive que parfois problématique des interventions externes sur les processus d'innovation, et en particulier les difficultés à institutionnaliser l'innovation au-delà des interventions ou à interagir avec les dynamiques locales d'innovation. L'article propose diverses voies pour améliorer tant l'évaluation que l'accompagnement des processus d'innovation. Cela concerne en particulier la conception et le financement des interventions externes. Cela concerne aussi l'acquisition des compétences et capacités indispensables à la mise en oeuvre dans la durée d'approches ouvertes et souples de conception, renforçant chaque fois que possible les initiatives existantes des acteurs locaux. Mots clés : systèmes d'innovation / analyse comparative / intervention externe / innovation orchestrée / innovation locale / pas de tempsAbstract -Better assessing and supporting agricultural innovation in Africa. Lessons from a crossanalysis of 13 case studies. This paper presents insights gained from a cross-analysis of 13 agricultural innovation experiences in three African countries (Benin, Kenya and South Africa). The participatory assessment was conducted with a common analytical framework and inspired by the agricultural innovation system (AIS) perspective and focused on understanding how innovation unfolded over time as a result of diverse triggers and drivers under the influence of a diversity of stakeholders. Conducted by teams involving researchers, students and local stakeholders, the assessment involved semi-structured interviews, focusgroup discussions and multi-stakeholder workshops. The cases cover a wide diversity of experiences in terms of types and domains, scales, timelines, initiators of innovation and stakeholders involved. Findings show the diversity of stakeholders engaged in innovation, and the nature of the innovation triggers and drivers. They also show the importance of taking into account a longer-term perspective (one or several decades...
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