Quantifying Value Chain Analysis in the Context of Livestock Systems in Developing Countries
This paper attempts to inject more rigorous quantitative methods into value chain analysis. Approaches examined include System Dyanimcs (SD) that model flows and relationships between actors with which one can examine the impact of alternative scenarios over time. Agent-Based Models (ABM) model individual farmers, institutions, and social groupings. In SD models, actors are assumed to be the same whereas in ABM models a set of heterogenous characteristics may be defined for each agent.