We show theoretically that the presence of basis risk in index insurance makes it a complement to informal risk sharing, implying that index insurance crowds-in risk sharing and leading to a prediction that demand will be higher among groups of individuals that can share risk. We report results from rural Ethiopia from a first attempt to market weather insurance products to existing informal risk-sharing groups. The groups were offered training on risk management and the possible benefits of holding insurance.
In October 2011,the CGIAR program on Climate Change, Agriculture and Food Security (CCAFS) and the Index Insurance Innovation Initiative (I4) organized a jointworkshop hosted by the International Food Policy Research Institute (IFPRI). The workshop was designed to identify and address issues surrounding index‐based insurance for smallholder farmers and the rural poor in the developing world. Emphasis was placed on identifying key areas of research and learning for the academic and policy community to pursue.
In this paper we examine which farmers would be early entrants into weather index insurance markets in Ethiopia, were such markets to develop on a large scale. We do this by examining the determinants of willingness to pay for weather insurance among 1,400 Ethiopian households that have been tracked for 15 years as part of the Ethiopia Rural Household Survey. This provides both historical and current information with which to assess the determinants of demand. We find that educated, rich, and proactive individuals were more likely to purchase insurance.
We conduct a framed field experiment in rural Ethiopia to test the seminal hypothesis that insurance provision induces farmers to take greater, yet profitable, risks. Farmers participated in a game protocol in which they were asked to make a simple decision: whether to purchase fertilizer, and if so, how many bags. The return to fertilizer was dependent on a stochastic weather draw made in each round of the game protocol. In later rounds of the game protocol, a random selection of farmers made this decision in the presence of a stylized weather-index insurance contract.
We analyze the effectiveness of a new approach in providing weather index-based insurance products to low-income populations. The approach is based on the concept of providing multiple weather securities that pay a fixed amount if the event written on the security (that monthly rainfall at a nearby weather station falls below a stated cutoff) comes true. A theoretical model is developed to outline the conditions in which weather securities could outperform crop-specific weather index-based insurance policies.
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.
The Integrating Very Poor Producers into Value Chains Field Guide (Field Guide) is intended to provide the field-level practitioner with tools and applications to impact very poor households. The intended outcome of the Field Guide is to increase market engagement for very poor households, especially women, through enterprise development activities.
This ILRI discussion paper reviews 20 value chain interventions and discusses the econometric techniques used to address the validity of findings. It explores the use of propensity score matching, instrumental variables, difference in difference, regression discontinuity, and randomized controlled trials. Qualitative and participatory methods are also examined with the idea that they may be able to better capture the complexity of value chain processes.
Wheat is one of the four most important food grains in Ethiopia. As a source of calories in the diet, wheat is second to maize. In terms of the area of production, wheat is fourth, after teff, maize, and sorghum. In terms of the value of production, it is 4th or 5th, after teff, enset, and maize, and approximately tied with sorghum.
Wheat production has expanded rapidly in the past decade. According to the CSA, wheat production has grown at 7.5% per year since 1995-96 and at 9.3% over the past decade.
A major challenge when designing a National Agricultural Investment Plan (NAIP) is deciding how to prioritize between different opportunities, e.g., which value-chains should be promoted over others?