A Livelihood Resilience Measurement Framework for Dam-Induced Displacement and Resettlement

Gong, Yichun; Zhang, Ruilian; Yao, Kaiwen; Liu, Bingwen; Wang, Feilong

doi:10.3390/w12113191

Cited by 18 publications

(21 citation statements)

References 74 publications

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“…Narrower and broader conceptualizations of livelihood resilience have been applied. For instance, Gong et al (2020) conceptualize resilience as including short-term actions to resist risk (capacity in responding to, absorbing and resisting risk and maintain livelihoods after relocation) but exclude longerterm adaptation, transformation or learning. Kumar et al (2020) take a yet narrower approach and define resilience as speed of recovery post-shock, measured by variations in crop productivity and crop income.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…In order to operationalize livelihood resilience in a specific context and choose indicators that capture its multidimensionality, researchers have employed various techniques. Most studies use a data-driven or inductive approach to select indicators based exclusively on a review of literature (e.g., Sina et al, 2019) or in combination with stakeholder consultations or household surveys (e.g., Asmamaw et al, 2019;Gong et al, 2020;Campbell, 2021). Focus group discussion and key informant interviews have been used to validate indicators derived from literature review (Gong et al, 2020;Campbell, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Most studies use a data-driven or inductive approach to select indicators based exclusively on a review of literature (e.g., Sina et al, 2019) or in combination with stakeholder consultations or household surveys (e.g., Asmamaw et al, 2019;Gong et al, 2020;Campbell, 2021). Focus group discussion and key informant interviews have been used to validate indicators derived from literature review (Gong et al, 2020;Campbell, 2021). A qualitative-quantitative approach is also used to compile the indicators into a framework for measuring resilience (Sina et al, 2019) or a resilience index (Asmamaw et al, 2019;Campbell, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Buffer-Capacity-Based Livelihood Resilience to Stressors—An Early Warning Tool and Its Application in Makueni County, Kenya

Matter

Boillat

Speranza

2021

Front. Sustain. Food Syst.

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Persistent vulnerability of smallholder farmers to natural hazards and livelihood insecurity call for the identification of measures that enhance the resilience of their agriculture-dependent livelihoods. Without understanding how to secure smallholder livelihoods against adverse social-ecological dynamics, especially related to climate variability and market failures, hunger, poverty, and livelihood collapse are likely to become more entrenched. This study aims for this better understanding by applying the Livelihood Resilience Indicator Framework to investigate the livelihood resilience of smallholder farmers in Makueni County, Kenya, to disease and pest infestations, low yields, and hunger. We analyzed the buffer capacity dimension of resilience among smallholder farmers, using survey data collected in 2016 on 134 households. We conducted principal component analysis to calculate a buffer capacity index at household level, which we then assessed in relation to crop and livestock pests and diseases, yields, and food shortage. We found that there was a significant positive correlation between buffer capacity and maize yields, which could be attributed to diversity in agricultural practices and income. The incidence of pests and diseases correlated significantly and negatively with buffer capacity and specifically with land size, economic status, and social capital. While no significant relationship could be established between buffer capacity and the occurrence of food insecurity, this variable correlated with access to land and livestock, diversity in agricultural practices, and access to infrastructure. The expected positive relation between food security and access to infrastructure and services turned out to be negative, raising questions about the relations between the livelihood resilience construct and rural infrastructure and services. More differentiation is thus needed on the multi-faceted interactions between access to infrastructure and services, including their actual use and benefits to livelihood resilience. In general, most findings supported the Livelihood Resilience Indicator Framework in that households with higher buffer capacity were better equipped to cope with shocks and stressors, hence demonstrating the potential of the framework as an early warning tool.

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Section: Conceptual Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Buffer-Capacity-Based Livelihood Resilience to Stressors—An Early Warning Tool and Its Application in Makueni County, Kenya

Matter

Boillat

Speranza

2021

Front. Sustain. Food Syst.

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“…The livelihood resilience measurement concept of Gong et al (2020a, b aimed to measure resilience based on Hooke’s law to test the effectiveness using correlation analysis to calculate livelihood resilience scores. The samples were based on land (geographical location) ownership, housing, and property value, and emergency cost are the most significant of these factors to help the government to monitor and regulate projects aiming at building livelihood resilience [ 5 ].…”

Section: Frameworkmentioning

confidence: 99%

“…As presented in the Abante (2020a, b ) risk reality phenomenon concept, based on the Fibonacci Golden Ratio and Schoen Golden Triangle theories hinted the 0-Risk (resilience measurement) is significant when exposure is nil or lacking. Resiliency is measured where the stability changes and is located [ 1 , 5 ] To determine the location of risk, the Abante (2020a, b) practically used Christaller’s Theory to store the elements of risk to analyze the patterns of risk and resiliency (based on sensitivity and conformity to the higher-based-land use to measure preparedness sufficiency as one of the six elements of risk) which mimicked the risk reality phenomenon in Albay [ 1 – 2 , 17 ].…”

Section: Frameworkmentioning

confidence: 99%

Geophilosophical realness of risk: a case study in national housing authority resettlement sites in Albay, Philippines

Abante

2021

SN Appl. Sci.

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The geophilosophical realness of risk, as introduced in this study, is composed of the risk hotspot or cold spot information which are stored and sorted in hexagonal bins representing the host environment within the 25-km radius from the crater of the Mayon Volcano. The z scores measured from these hexagonal bins mimic the risk realness or risk reality phenomenon happening in Albay Province, Philippines. The objective of the study is to assess risk reality phenomena that generate risk knowledge originated from applying the seven metatheorems based on the Schoen Golden Triangle and the Fibonacci Golden Ratio. Risk assessment in this study uses the stability site selection criteria and hexagonal binning technique to store, sort, and process risk hotspot and coldspot information. This approach led to the disclosure of risk phenomenon on the 14 out of 25 resettlement sites (host environment) that remained at risk and continuously increasing the risk trend. When people are continuously allowed to occupy risk hotspots areas it hints at ineffective risk governance to neutralize the passively exposed population. This study concluded that the risk reality phenomena assessment opens new avenues for scientifically informed land use, nil exposure, and 0-risk policy in addition to the existing 0-casualty goal to get prepared with the right direction, decision and action to sensitively utilize the stable host environments aligned to improve risk governance.

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Tracing the Impact and Contribution of the “Six Attributes of Social Resilience”

Maclean,

Witt

2023

Rural Development for Sustainable Social-Ecological Systems

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A Livelihood Resilience Measurement Framework for Dam-Induced Displacement and Resettlement

Cited by 18 publications

References 74 publications

Buffer-Capacity-Based Livelihood Resilience to Stressors—An Early Warning Tool and Its Application in Makueni County, Kenya

Buffer-Capacity-Based Livelihood Resilience to Stressors—An Early Warning Tool and Its Application in Makueni County, Kenya

Geophilosophical realness of risk: a case study in national housing authority resettlement sites in Albay, Philippines

Tracing the Impact and Contribution of the “Six Attributes of Social Resilience”

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