In this paper the authors present the development of an analytical framework to study agricultural innovation systems. They divide the agricultural sector into four levels and expand the innovation system approach to study innovation processes.
The study made a rigorous analysis of the production and export performance of the sector, challenges accompanying vegetables exports, backward and forward supply chain issues and requirements at the export destinations, and an assessment of government policies to address the supply side constraints in the vegetables exports.
This study aims to analyse three case studies of smallholder dairy farming in Pakistan. The study involved two stages. The first stage involved a scoping study which used a purposive sampling method to identify and sample fresh, unpackaged milk and informal and formal chains in both districts. Twenty-seven producers, eleven small, eight medium and five large Dhodhis, twenty-two retailers, two formal processors and eleven consumers were interviewed personally by the first author, using four different questionnaires.
Extension agent is one of the important factors in the agricultural process to deliver technology information and agricultural programs from government to farmers. The good performance of agricultural extension agents will have an impact on improving the performance of farmers to increase agricultural production.In Langkat Regency, the extension agent performance was not still optimal. Factors affecting the performance of the extension agent consist of internal and external factors.
Innovation is considered as one of the key drivers for a competitive and sustainable agriculture and the European Commission highlights the importance of tailoring innovation support to farmers’ needs, especially in European Rural Development Policy (reg EU 1305/2013). The scientific literature offers a wide panorama of tools and methods for the analysis of innovation in agriculture but the lack of data on the state of innovation in the farms hampers such studies. A possibility to partially overcome this limit is the use of data collected by the Farm Accountancy Data Network (FADN).
In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each domain from the usability perspective. This study focuses on a theoretical analysis to identify the IQ features which would be significant to produce a usable agricultural information system with respect to the developing countries.
This paper analyzes the operational constraints experienced by the different actors in the rice value chain in Myanmar. Both primary and secondary data on the rice value chain in Ayeyarwaddy Region, the main rice-growing area in Myanmar, were collected. The actors in the region suffer from constraints in material input, production, financial, distributional, and institutional. This study examines the actors’ profitability, together with their sociodemographic and operational characteristics, to provide proper policy guidelines to address constraints
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.
À l’occasion de l’année internationale des coopératives, le modèle coopératif est-il trop ou pas assez glorifié ? En pointant le rôle important des coopératives pour le développement social, ses valeurs de solidarité et d’autonomie, l’Assemblée générale des Nations unies a décidé de mettre cette forme de mutualisation à l’honneur en 2012. Mais quels critères permettent de classer les coopératives au-dessus d’autres formes associatives ? Et les manières d’élaborer et de concevoir les coopératives sont-elles identiques au Sud et au Nord ?
This report explores the role of rural networks in enhancing innovation processes, questioning the features of the agricultural/rural networks could enhance farmers’ ability to co-innovate in cooperation with other actors. The prospect of this investigation is also to provide interesting and significant experiences that constitute examples for the ‘European Innovation Partnership’ by increasing farmers’ capacities to create, test, implement and evaluate innovations in cooperation with other rural actors.