This paper details the analytical framework used for developing a nested understanding of systemic innovation capacity in an AIS. The paper then introduces the two case studies, along with the data and methods of analysis, followed by a presentation of the results as timelines of configurations of capabilities at different levels of the AIS.
On observe depuis une vingtaine d'années l'émergence de bassins de production maraîchère dans le Sahara algérien par la mobilisation des eaux souterraines profondes, en marge des oasis traditionnelles. Dans la vallée du Souf, les agriculteurs se sont orientés vers la culture de la pomme de terre, irriguée par des petits pivots artisanaux. L'objectif de l'article est d'analyser le processus d'innovation ayant permis l'émergence et la diffusion du pivot artisanal.
L’agriculture souffre d’un important déficit d’image : qualité des produits jugée médiocre, non respect de l’environnement, pénibilité des métiers… La réalité est cependant tout autre. Tout en restant profondément ancré dans la vie des territoires, ce secteur est devenu numéro deux de la robotisation. De nouvelles méthodes fondées sur le traitement des données, des outils innovants, intelligents et connectés, ainsi que des réseaux de diffusion des innovations et d’entraide contribuent à transformer en profondeur l’agriculture.
La complexité des facteurs de la migration rurale en ASS rend impossible la prévision du nombre de personnes qui migreront et pourquoi, ni qui elles seront, ni où elles iront. Pourtant, il est possible d’explorer comment ce système complexe de forces interdépendantes pourrait évoluer, de prendre des décisions proactives et d’agir pour construire le futur. Il est peu probable que les migrants ruraux d’ASS soient dans une position favorable pour émigrer hors d’Afrique, ce qui pose un grand défi pour la prospérité future du continent : migration par nécessité ou par choix ?
The latest turmoil of production and price volatility in the global food sector has put agriculture back to the top of the development agenda. Population growth, changing consumer preferences, bioenergy demand and climate change are some of the huge challenges for agricultural production today and in the future. In the last decades, productivity has been constantly improved through the introduction of improved crop varieties and the greater use of mechanization, irrigation, chemical fertilizer and pesticides.
This study draws on social-psychology in an attempt to identify the various motivations for technology adoption (TA), including both economic and non-economic, and to gain insights into how and why Brazilian innovative beef farmers make decisions about whether or not to adopt particular technologies.
The case studies reported here form part of ‘GENNOVATE: Enabling gender equality through agricultural and environmental innovation’; a qualitative comparative research to examine the gender dimensions of innovations – new agricultural and natural resource management technologies, institutions, and practices. Despite significant historical, socio-political and environmental differences, the five case studies in East Kalimantan, Indonesia, and the case from southwest Kyrgyzstan exhibit pronounced and rapid changes in the relationship between people and for forests
Integrated Pest Management (IPM) is considered as an ecological conservation technology for crop pests' management; however, the technology adoption is intensely affected by surrounding socio-psychological environment, which is poorly studied, particularly in developing nations. The present study therefore aimed at addressing this gap through application of an extended form of Technology Acceptance Model (TAM) in order to examine the determinants of Iranian farmers' ecological conservation behavior regarding the use of IPM practices.
In response to population growth, rising income and urbanisation, the demand for livestock products, such as milk, meat and eggs is growing in Ethiopia. The growing demand for milk products offers opportunities for smallholders to realize better livelihoods. Whereas the growing demand for milk products in Ethiopia is widely recognised, the dairy sector has not been able to produce adequate milk to satisfy this demand, mainly due to low productivity of dairy animals.
At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.