Collective action in space: assessing how collective action varies across an African landscape

This paper develops and applies a new approach for analyzing the spatial aspects of individual adoption of a technology that produces a mixed public-private good. The technology is an animal insecticide treatment called a “pouron” that individual households buy and apply to their animals. Private benefits accrue to households whose animals are treated, while the public benefits accrue to all those who own animals within an area of effective suppression. A model of household demand for pourons is presented. As a private good, household demand for the variable input depends upon output price, input cost, and household characteristics. Input costs for pouron treatments include both the market price of the pourons and the transaction costs that the household must incur to obtain the treatments. Demand also depends upon the way that each household expects its neighbors to respond to one's own behavior. Free-riding is expected in communities with no tradition or formal organization to support collective action. Greater cooperation is expected in communities that have organizations that reward cooperative behavior and punish deviant behavior. Data for estimation of the model were collected for all of the 5,000 households that reside within the study area of 350 square kilometers in southwest Ethiopia. Geographic reference data were collected for every household using portable Geographic Positioning System units. GIS software was used to generate spatial variables. Variables for distance from the household to the nearest treatment center and number of cattle-owning neighbors within a 1-kilometer radius of the household were created. The density of cattle-owning neighbors was used as a measure of the potential benefits from cooperation; this variable was expected to have a positive effect on household pouron demand in communities able to support effective collective action and a negative effect in communities not able to support effective collective action. A set of community binary variables was interacted with the density variable to capture differences between communities. The results confirm the importance of the household-level variables. The results also indicate large differences in ability to cooperate between local administrative units. Everything else equal, the areas least able to cooperate were located farthest from the treatment center, were ethnically heterogenous, and had a different ethnic composition than areas around the treatment centers.

Improved Land Management in the Lake Victoria Basin: Annual Technical Report, July 2000 to June 2001

ICRAF and the Kenyan Ministry of Agriculture and Rural Development (MOARD) are implementing a project on “Improved Land Management in the Lake Victoria Basin.” The project began in 1999 – 2000 with a one-year startup year of activities under the Sida-sponsored National Soil and Water Conservation Programme (NSWCP). The collaborative project of ICRAF and MOARD has now been continued for another three years under the National Agriculture and Livestock Extension Programme (NALEP). This paper summarizes achievements and findings for the project for the year 2000 / 2001. The Swedish International Development Agency (SIDA) supports “Improved Land Management in the Lake Victoria Basin” through NALEP. Additional financial support for the activities reported herein was also provided by the Rockefeller Foundation, ICRAF core funds, Danida, the University of Florida and the USAID. Research conducted during 2000 / 2001 addressed a range of issues across a large tract of Western Kenya. A coarse resolution assessment of soil erosion risk conducted for the entire Lake Victoria Basin identified the Nzoia / Yala and Kagera river basins as those with the greatest percentage of land at risk. Biophysical research on land management problem domains has quantified the widespread spatial extent of soil physical and chemical degradation in the Nyando river basin and illustrated four contrasting biophysical problem domains within the basin. District-level data on population density, poverty and agricultural production available from secondary sources have been complemented with baseline household and community survey data collected in 9 villages around the Nyando river basin. The overall picture that is emerging is that while much of the Nyando river basin has experienced some physical and chemical land degradation, there are pockets of severe poverty, severe environmental degradation and extremely low agricultural production. Different approaches to extension, investment and policy may be needed to address poverty – environment – agricultural problems in different parts of the river basin. Reversing trends in environmental deterioration will require interventions on farmers fields and in the many areas between farms that publicly-used, although usually privately-owned. Farmers have demonstrated their willingness to adopt recommended conservation practices on their individual family fields, but the intensity of adoption depends upon the potential returns to investments, their cultural grouping, and the approach that extension providers take to the provision of information and mobilization of community participation. Adoption of improved practices and investments on publicly-used areas between farms requires the mobilization of collective action among small, medium and large groups. Collective action in the Nyando River basin is most likely to be effective where it harnesses local institutional arrangements (e.g. sub-clan affiliations among the Luo) and advances common interests in the provision of high quality water and the generation of additional cash income. Among other opportunities, there appears to be good prospects for market-oriented agroforestry for production of fruit, fuelwood and timber. Changes in local and national policies would help to ensure good returns for smallholder farmers. This report begins with a presentation of a number of major findings, implications of those findings for extension and investment and implications for policy. A summary of progress by activity is then presented, followed by lists of personnel involved, presentations and publications. An annex presents detailed accomplishments by activity

Input Subsidies to Improve Smallholder Maize Productivity in Malawi: Toward an African Green Revolution

Recent hikes in food prices have created economic and social turmoil in many African countries. But in Malawi, fertilizer and seed subsidies have enabled small-scale farmers to improve maize productivity and achieve food security

The African Millennium Villages

We describe the concept, strategy and initial results of the Millennium Villages Project (MVP) and implications regarding sustainability and scalability. Our underlying hypothesis is that the interacting crises of agriculture, health, and infrastructure in rural Africa can be overcome through targeted public-sector investments to raise rural productivity, and thereby to increased private-sector saving and investments. This is carried out by empowering impoverished communities with science-based interventions. 78 Millennium Villages have been initiated in 12 sites in 10 African countries, each representing a major agroecological zone In early results, the research villages in Kenya, Ethiopia and Malawi have reduced malaria prevalence, met caloric requirements, generated crop surpluses, enabled school feeding programs, and provided cash earnings for farm families

Collective Action in Space: Assessing How Collective Action Varies Across an African Landscape

This paper develops and applies a new approach for analyzing the spatial aspects of individual adoption of a technology that produces a mixed public-private good. The technology is an animal insecticide treatment called a “pouron” that individual households buy and apply to their animals. Private benefits accrue to households whose animals are treated, while the public benefits accrue to all those who own animals within an area of effective suppression. A model of household demand for pourons is presented. As for a private good, household demand for the variable input depends upon output price, input cost, and household characteristics. Input costs for pouron treatments include both the market price of the pourons and the transaction costs that the household must incur to obtain the treatments. Demand also depends upon the way that each household expects its neighbors to respond to one’s own behavior. Free-riding is expected in communities with no tradition or formal organization to support collective action. Greater cooperation is expected in communities that have organizations that reward cooperative behavior and punish deviant behavior. Data for estimation of the model were collected for all of the 5,000 households that reside within the study area of 350 square kilometers in southwest Ethiopia. Geographic reference data were collected for every household using portable Geographic Positioning System units. GIS software was used to generate spatial variables. Variables for distance from the household to the nearest treatment center and number of cattle-owning neighbors within a 1- kilometer radius of the household were created. The density of cattle-owning neighbors was used as a measure of the potential benefits from cooperation; this variable was expected to have a positive effect on household pouron demand in communities able to support effective collective action and a negative effect in communities not able to support effective collective action. A set of community binary variables was interacted with the density variable to capture differences between communities. The results confirm the importance of the household-level variables. The results also indicate large differences in ability to cooperate between local administrative units. Everything else equal, the areas least able to cooperate were located farthest from the treatment center, were ethnically heterogenous, and had a different ethnic composition than areas around the treatment centers

Assessing the Factors Underlying Differences in Group Performance: Methodological Issues and Empirical Findings from the Highlands of Central Kenya

This paper examines the performance of rural groups in Kenya and addresses the methodological issues and challenges faced in doing this, and presents the empirical evidence regarding various hypothesized explanatory factors for relative performance levels. Eighty-seven groups and 442 households were surveyed using several approaches. Various performance measures were tested. Both descriptive analysis and regression models were used to gain a better understanding of the group-level and household-level factors that explain performance. Collective action is desired and practiced for a large number of tasks. The findings highlight the incredible number, diversity and dynamic nature of groups in the highlands of Kenya (and we suspect this finding is not terribly unique to this region). Assessing and comparing performance across a range of group activities is wrought with difficulties related to measurement and standardization. Focusing on groups undertaking similar activities makes it easier to delve more deeply into performance drivers. The empirical analysis focused on the effect of group structural variables (e.g. its size) on performance. We found that choice of performance measure and level at which it is measured (e.g. household, group) matters when it comes to trying to explain the variability in that measure. An analysis across different types of groups engaged in exactly the same activity (tree nurseries) found that predicted group performance was not linked to any easy-to-measure group characteristic, implying that for this task dissemination need not be targeted towards particular types of groups. Looking more broadly at a range of activities, we found that structural factors had varied results

Welfare dynamics in rural Kenya and Madagascar

This paper presents comparative qualitative and quantitative evidence from rural Kenya and Madagascar in an attempt to untangle the causality behind persistent poverty. We find striking differences in welfare dynamics depending on whether one uses total income, including stochastic terms and inevitable measurement error, or the predictable, structural component of income based on a household's asset holdings. Our results suggest the existence of multiple dynamic asset and structural income equilibria, consistent with the poverty traps hypothesis. Furthermore, we find supporting evidence of locally increasing returns to assets and of risk management behaviour consistent with poor households' defence of a critical asset threshold through asset smoothing.