In this chapter, it is applied the CGPE model to analyzing the performance of policy processes with respect to the production of efficient policy choices. Within the CGPE approach participation of stakeholder organizations is modeled in two ways. First, as classical lobbying influence and second as informational influence within a model of political belief formation.
Providing food and other products to a growing human population while safeguarding natural ecosystems and the provision of their services is a significant scientific, social and political challenge. With food demand likely to double over the next four decades, anthropization is already driving climate change and is the principal force behind species extinction, among other environmental impacts. The sustainable intensification of production on current agricultural lands has been suggested as a key solution to the competition for land between agriculture and natural ecosystems.
The paper discusses the work force development (Wfd) tool that places explicit focus on three functional dimensions of Wfd policies and institutions: (a) strategy; (b) system oversight; and (c) service delivery. Strategy refers to the alignment between workforce development and a country’s national goals for economic and social development. System oversight refers to the governance arrangements that shape the behaviors key stakeholders involved, including individuals, employers, and training providers.
Governments of low-income countries and international development donors are increasing their funding for research at least in part on the assumption that research has positive impacts on socioeconomic development. Four pathways are commonly cited to describe how research will contribute to development: 1. Investment in research will drive economic growth; 2. Investment in research will increase human capital; 3. Investment in research will lead to the development of pro-poor products and technologies; 4.
The term ‘systemic innovation’ is increasing in use. However, there is no consensus on its meaning: four different ways of using the term can be identified in the literature. Most people simply define it as a type of innovation where value can only be derived when the innovation is synergistically integrated with other complementary innovations, going beyond the boundaries of a single organization. Therefore, the term ‘systemic’ refers to the existence of a co-ordinated innovation system.
The world’s population is likely to reach 9 billion by the middle of this century. The Food and Agriculture Organization of the United Nations (FAO) believes that 60 per cent more food will be needed by 2050 to sustain all these people. Where possible, this food should be produced where it is needed – in developing countries.
Powerpoint presentation on what is Capacity / Capacity Development and on effective Capacity Development for CDAIS. Training for National Innovation Facilitator’s (NIFs).
Agricultural Innovation System (AIS) is a collection of institutions enabling agricultural and food system transformation in a country. Any attempt to engage in emergency interventions by institutions and bounce back with higher levels of resilience requires strong organizational and human capacity as a prerequisite. What role do these institutions play in emergencies such as COVID-19 and how can they bounce back after such a crisis is over? What can be done to help these institutions build resilience capacity for such recovery?
What are key characteristics of rural innovators? How are their experiences similar for women and men, and how are they different? To examine these questions, this study draw on individual interviews with 336 rural women and men known in their communities for trying out new things in agriculture. The data form part of 84 GENNOVATE community case studies from 19 countries. Building on study participants’ own reflections and experiences with innovation in their agricultural livelihoods, we combine variable-oriented analysis and analysis of specific individuals’ lived experience.
Research-based evidence on the adoption of climate-smart agricultural practices is vital to their effective uptake, continued use and wider diffusion. In addition, an enabling policy environment at the national and regional levels is necessary for this evidence to be used effectively. This chapter analyzes a 4-year period of continuous policy engagement in East Africa in an attempt to understand the role of multi-stakeholder platforms (MSPs) in facilitating an enabling policy environment for climate change adaptation and mitigation.