The development of effective agricultural monitoring networks is essential to track, anticipate and manage changes in the social, economic and environmental aspects of agriculture. The authors welcome the perspective of Lindenmayer and Likens (J. Environ. Monit., 2011, 13, 1559) as published in the Journal of Environmental Monitoring on their earlier paper, “Monitoring the World's Agriculture” (Sachs et al., Nature, 2010, 466, 558–560).
The organization of the Nutrition Innovation Labs represents a novel model for focusing U.S.- supported research on food and nutrition issues in developing countries. Their aims are to discover how policy and program interventions can most effectively achieve large-scale improvements in maternal and child nutrition, particularly by leveraging agriculture and build human and institutional capacity for applied policy analysis, research and program implementation.
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.
This chapter proposes a network-based framework to analyze and evaluate participatory and evidence-based policy processes. Four network based performance indicators are derived by incorporating a network model of political belief formation into a political bargaining model of the Baron–Grossmann–Helpman type. The application of our approach to the CAADP reform in Malawi delivers the following results: (i) beyond incentive problems, i.e.