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Variability in Cross-Domain Risk Perception Among Smallholder Farmers in Mali

EPAR TECHNICAL REPORT #340

Mon, 12/12/2016

AUTHORS: Alison Cullen, C. Leigh Anderson, Pierre Biscaye, Travis Reynolds, Audrey Lawrence

ABSTRACT: 

Previous research has shown that men and women, on average, have different risk attitudes and may therefore see different value propositions in response to new opportunities. We use data from smallholder farm households in Mali to test whether risk perceptions differ by gender and across domains. We model this potential association across six risks (work injury, extreme weather, community relationships, debt, lack of buyers, and conflict) while controlling for demographic and attitudinal characteristics. Factor analysis highlights extreme weather and conflict as eliciting the most distinct patterns of participant response. Regression analysis for Mali as a whole reveals an association between gender and risk perception, with women expressing more concern except in the extreme weather domain; however, the association with gender is largely absent when models control for geographic region. We also find lower risk perception associated with an individualistic and/or fatalistic worldview, a risk-tolerant outlook, and optimism about the future, while education, better health, a social orientation, self-efficacy, and access to information are generally associated with more frequent worry— with some inconsistency. Income, wealth, and time poverty exhibit complex associations with perception of risk. Understanding whether and how men’s and women’s risk preferences differ, and identifying other dominant predictors such as geographic region and worldview, could help development organizations to shape risk mitigation interventions to increase the likelihood of adoption, and to avoid inadvertently making certain subpopulations worse off by increasing the potential for negative outcomes.

This paper has been published in Risk Analysis. The code for our analysis is available in a public GitHub repository.

Findings from our analysis were presented at the 2016 meeting of the Society for Risk Analysis.

Read a blog post summarizing findings from this research.

TYPE OF RESEARCH: Data Analysis

RESEARCH TOPIC CATEGORY: Household Well-Being & Equity; Risk, Preferences, & Decision-Making; Gender

POPULATION(S): Smallholder Farmers, Women

GEOGRAPHIC FOCUS: West Africa Region and Selected Countries

DATASET(S): Farmer First

Downloadable Documents

Published Paper

Presentation Slides

GitHub Code Repository