Insights into the composition of household vulnerability from multicriteria decision analysis

By Hallie C. Eakin, L. Bojórquez-Tapia. 2008

359 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Safety Research, Soil Science

View Paper: https://www.semanticscholar.org/paper/74e7d8ed199f6c5b9a5ad514001ed136c0b2baaf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. C. Ringler
2. T. Deressa
3. R. Hassan
4. Zhao Ma
5. M. Burnham
6. María Carmen Lemos
7. D. Nelson
8. A. Dougill

In Safety Research

1. R. Hassan
2. C. Ringler
3. T. Deressa
4. Zhao Ma
5. M. Burnham
6. Micah B. Hahn
7. A. Riederer
8. S. Foster

In Soil Science

1. C. Ringler
2. R. Hassan
3. Zhao Ma
4. M. Burnham
5. T. Deressa
6. María Carmen Lemos
7. D. Nelson
8. A. Dougill

Citations in the corpus

• The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change—A case study in Mozambique (2009, background): “Drawing on the food security literature, Eakin and Bojorquez-Tapia (2008) assert that household vulnerability is more dynamic than nationalscale vulnerability and should thus be defined on a shorter time scale; for example, that would be required to redistribute resources in an emergency.”
• Characterising the nature of household vulnerability to climate variability: empirical evidence from two regions of Ghana (2013, background): “Hence, these indicator-based assessments may be used to identify vulnerable groups within a particular geographical area to inform policy regarding resource allocation in such areas (Birkmann 2007; Eakin and Bojorquez-Tapia 2008; Hinkel 2011).”
• Measuring Ethiopian farmers' vulnerability to climate change across regional states: (2008, methodology): “Some of these approaches include use of expert judgment (Kaly and Pratt 2000; Kaly et al. 1999), principal component analysis (Easter 1999; Cutter, Boruff, and Shirley 2003), correlation with past disaster events (Brooks, Adger, and Kelly 2005), and use of fuzzy logic (Eakin and Tapia 2008).”
• Urban Sustainability and Resilience: From Theory to Practice (2016, background): “Scholars have pointed to the need to critically and constructively embrace the following challenges: subjectivity and uncertainty in many processes involved in the selection and aggregation of indicators; the selection of indicators may not be sufficient to describe the dynamic and complex nature of”
• Linking development to climate adaptation: Leveraging generic and specific capacities to reduce vulnerability to drought in NE Brazil (2016, background): “While recognizing that AC is a dynamic concept, influenced by decisions made in the past with respect to future risk and uncertainty (Eakin and Bojorquez-Tapia, 2008; Vincent, 2007), for analytical purposes, we define specific capacities as manifestations of the ability to respond to and manage an i”
• Climate change adaptation: factors influencing Chinese smallholder farmers’ perceived self-efficacy and adaptation intent (2016, result): “Similar results have been reported previously (Crate 2011; Eakin and Bojorquez-Tapia 2008; Lemos et al. 2013; Saldaña-Zorrilla 2008), noting that households’ long-term capacities may be eroded when state-sponsored welfare programs create ‘‘dependencies between state and society.’’”