Welfare dynamics in rural Kenya and Madagascar

By Christopher B. Barrett, P. Marenya, John Mcpeak, B. Minten, F. Murithi, W. Oluoch-Kosura, F. Place, J. Randrianarisoa, J. Rasambainarivo, Justine Wangila. 2006

420 citations recorded by the source corpus.

Subfields: Safety Research, Sociology and Political Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/9034c056be4bc6756c6c30185179cd02b63db4af

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Citations in the corpus

Poverty Traps and Climate Risk: Limitations and Opportunities of Index-Based Risk Financing (2007, background): “Extremely poor households often choose to forego consumption rather than further liquidating their limited assets; they smooth assets rather than consumption (Zimmerman and Carter 2003; Barrett et al. 2006, Hoddinott 2006, Kazianga and Udry 2006).”
Well-Being Dynamics and Poverty Traps (2016, methodology): “…further below the MT and closer to a survival threshold may engage in (seemingly excessive) risk avoidance, choosing stable livelihoods offering incomes barely above subsistence minima while foregoing higher-return but risky investment opportunities (Barrett et al. 2006, Carter & Barrett 2006).”
Determinants of Market Participation among Small-Scale Pineapple Farmers in Kericho County, Kenya (2014, background): “Barret et al. (2007) also concluded that young people participated more in the market because they are more receptive to new ideas and are less risk averse than the older people. In terms of household size, the results indicate that the mean of the household size for the market participants was foun”
Nonfarm employment, agricultural shocks, and poverty dynamics: evidence from rural Uganda (2006, background): “These studies commonly show that poverty status changes significantly even in the short run (Adato et al., 2006; Barrett et al., 2006; Little et al., 2006; Peters, 2006; Whitehead, 2006; Woodlard and Klasen, 2005).”
Livelihood Strategies in the Rural Kenyan Highlands (2006, background): “More detail on the Vihiga sample and the broader study from which these data are derived are provided in Barrett et al. (2006) .”
Why do people stay poor? (2020, background): “In contrast, Barrett et al. (2006) finds evidence on multiple equilibria when analyzing detailed panel data from several remote sites in Kenya and Madagascar where the simple occupational environment enables them to study household asset dynamics.”
Do Poverty Traps Exist? Assessing the Evidence (2014, result): “In contrast, Barrett et al. (2006) do find evidence of multiple equilibria in asset dynamics in some of their more remote sites in small samples from rural Kenya and Madagascar, as do Adato, Carter, and May (2006) with asset dynamics over a five-year period in South Africa.”
Understanding poverty dynamics in Kenya (2010, background): “…that ‘health shocks largely unrelated to nutrition – e.g. HIV/AIDS, malaria, tuberculosis – are the most common reason households become and stay poor, underscoring the importance of preventive and curative health care quite apart from support for adequate access to food’ (Barrett et al., 2006).”
Innovations in Climate Risk Management: Protecting and Building Rural Livelihoods in a Variable and Changing Climate (2007, background): “It highlights three populations impacted in different ways by climate risk, assuming the sort of multiple dynamic equilibria demonstrated in Kenya, Ethiopia, Ghana and South Africa (Adato et al., 2006; Barrett et al., 2006; Lybbert et al., 2004; Santos and Barrett, 2006; VanderpuyeOrgle, 2007).”
Consumption versus asset smoothing: testing the implications of poverty trap theory in Burkina Faso (2012, background): “In short, the initially poorer household responds to the shock by protecting its 5 See Barrett et al. (2011) for details. assets, whereas the wealthier household draws its stocks down more liberally.”
After the Drought: The Impact of Microinsurance on Consumption Smoothing and Asset Protection (2013, positive): “Lybbert et al. (2004) and Barrett et al. (2006) use different data and methods to demonstrate nonlinear asset dynamics in the ASALs, such that when livestock herds fall below a critical threshold, recovery becomes difficult, and herds tend to move toward a low level equilibrium.”