Over the past quarter century, Vietnam’s agricultural sector has made enormous progress. Vietnam’s performance in terms of agricultural yields, output, and exports, however, has been more impressive than its gains in efficiency, farmer welfare, and product quality. Vietnamese agriculture now sits at a turning point. The agricultural sector now faces growing domestic competition - from cities, industry, and services - for labor, land, and water. Rising labor costs are beginning to inhibit the sector’s ability to compete globally as a low cost producer of bulk undifferentiated commodities.
This article summarizes current research on public entrepreneurship and presents a detailed case study of a successful entrepreneurial change in a public sector organization. A five-step change process used to enhance entrepreneurial behaviors was implemented in a public sector organization and the qualitative and quantitative results demonstrated substantial performance improvements over 4 years (i.e., quantitative performance in some areas was more than 10 times greater).
Aujourd’hui, l’agriculture familiale fait preuve de dynamisme. Pour prouver qu’elle est un modèle à défendre, il faut convaincre les États de mener des politiques volontaristes et souveraines de rénovation de l’agriculture. Une politique efficace devra identifier les forces et les faiblesses de l’agriculture familiale, lutter contre l’accaparement des terres, encourager les jeunes paysans et les paysannes. Prendre en compte les différentes dimensions de l’agriculture familiale est nécessaire pour mener à une transformation efficace.
The interactions between bottom-up initiatives and top-down structures in the implementation of regional development policies and projects are complex in theoretical and practical terms. Using concepts such as transformative social innovation, adaptive governance, and bridging institutions, we developed an analytical framework to enhance understanding of the processes by which local top-down and bottom-up forces enhance sustainable rural development by co-developing bottom-linked governance.
The ultimate aim of this research is to contribute towards a viable theoretical framework of agro-based technology transfer. This study uses case study methodology involving an agro-based government research institution and six private firms in Malaysia. This research reveals that the development of new technology did not lead to technology transfer until business opportunity is properly recognised. The business opportunity must be recognised first; then, the process of technology transfer will follow.
A growing variety of public and private rural advisory services are available today, leading to increasingly pluralistic service systems (PSS) – in which advisory services are provided by different actors and funded from different sources. PSS have emerged in many countries as a response to a decline in public sector extension and the increasing demand for tailored, diverse and market-oriented services. Private companies, non-governmental organizations and producer organizations, today play more active roles alongside traditional public sector providers.
These Proceedings report on the second International Conference of the Convergence of Sciences (CoS) programme in Elmina (2009). The first International Conference was four years earlier in the same location, where it was discussed how to follow up on the findings of the first CoS Programme phase (entitled CoS1 running from 2001 to 2006). The Conference was intended to introduce the focus on “innovation systems”, and how to enhance these systems for smallholder farmers’ development.
This paper discusses the challenges and determinants of agro-operations and innovation initiatives in developing countries. With particular reference to the Caribbean region, available country statistics and data are analysed. A generic model of collaborative innovation for agriculture that stresses collaboration among the stakeholders (government, knowledge institutions, public and private firms and others) is described.
3D Move To See (3DMTS) is a mutli-perspective visual servoing method for unstructured and occluded environments, like that encountered in robotic crop harvesting. This paper presents a deep learning method, Deep-3DMTS for creating a single-perspective approach for 3DMTS through the use of a Convolutional Neural Network (CNN). The novel method is developed and validated via simulation against the standard 3DMTS approach.
Intermediary actors have been proposed as key catalysts that speed up change towards more sustainable socio-technical systems. Research on this topic has gradually gained traction since 2009, but has been complicated by the inconsistency regarding what intermediaries are in the context of such transitions and which activities they focus on, or should focus on. This study briefly elaborates on the conceptual foundations of the studies of intermediaries in transitions, and how intermediaries have been connected to different transition theories.