Environmental Migration and Regional Livelihood Planning: A Livelihood Planning Approach to Circular Migration

Sharma, Asmeeta Das; Bracken, Gregory; Balz, Verena

doi:10.1089/env.2020.0010

Cited by 4 publications

(4 citation statements)

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“…As one member of a household moves away and sends back money, the liquidity constraints of other household members are relieved, making them more likely to have the financial capacity to move as well (Bernzen et al, 2019). This point is, however, contested in literature where some studies have also found that instead of encouraging future migration (Kleemans, 2015; Tan, 2017; Tiwari & Winters, 2019), remittances may also be used for strengthening a family to remain in their home location (Calero et al, 2009; Das Sharma et al, 2020; Shi et al, 2019). Indeed, many families choose to have a member migrate in order to diversify income and stabilize their finances against future climate shocks (Sakdapolrak et al, 2016; Scheffran et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

Decision‐making factor interactions influencing climate migration: A systems‐based systematic review

Nabong

Hocking

Opdyke

et al. 2023

WIREs Climate Change

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Global migration and mobility dynamics are expected to shift in the coming decades as a result of climate change. However, the extent to which migration is caused by climate hazards, in contrast or addition to other intervening factors, is a point of debate in literature. In this study, we conducted a systematic literature review to identify and consolidate factors which directly and indirectly influence climate change migration. In our review of the literature, we found a total of 21 economic, environmental, demographic, political, social, and personal intervening decision‐making factors which affect climate migration. Causal interactions between these factors were identified using an axial qualitative coding technique called purposive text analysis. By combining causal links, a semi‐quantitative causal loop diagram was created that represented factor interaction and feedback within the “climate migration system.” Using this model, we highlight influential feedback loops and point to how intervention strategies may cause downstream effects. This research helps to address calls for a better understanding of the complex decision‐making dynamics in climate migration. In particular, results from our causal feedback loops show that intervention strategies targeted toward economic factors such as financial capital and livelihoods, as well as food security, would have the greatest impact in assisting climate‐affected communities. These results help inform climate migration policy and aid planners in the future to better understand the interconnected system of factors that lead to the emergent outcome of climate migration. This article is categorized under: Vulnerability and Adaptation to Climate Change > Learning from Cases and Analogies The Social Status of Climate Change Knowledge > Climate Science and Decision Making

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Section: Resultsmentioning

confidence: 99%

Decision‐making factor interactions influencing climate migration: A systems‐based systematic review

Nabong

Hocking

Opdyke

et al. 2023

WIREs Climate Change

View full text Add to dashboard Cite

show abstract

“…While some studies show that liquidity constraints lead to immobility (Bell et al 2021) and improved financial capacity supports the ability to move (Cai et al 2016;Grecequet et al 2017;Benveniste et al 2022;Kartiki 2011), others highlight that improved financial capacity may also lead to "mooring" (Bell et al 2021) where affected populations use their funds to invest and stay in their home locations rather than moving. This is especially seen in cases of mixed family mobility where one member may migrate and later send remittances to provide stability against future climate shocks (Das Sharma et al 2020;Shi et al 2019). While "mooring" illustrates a chosen immobility, another relatively new topic of research explores cases specifically where individuals are motivated to migration, but lack the resources to do so, leading to "trapped populations" (Nawrotzki & DeWaard 2018;Suckall et al 2017).…”

Section: Systems Maps-evaluating Factor Relationshipsmentioning

confidence: 99%

Identifying leverage points in climate change migration systems through expert mental models

2022

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As the impacts of climate change increase, the Intergovernmental Panel on Climate Change advises that global migration will also increase. A deeper understanding of the factors and interactions that influence the migration decision-making of climate-affected populations is needed to more accurately predict migration estimates and adequately inform and prepare future receiving cities. In this study, we survey thirty-two experts in the field of climate migration to explore how demographic, economic, environmental, political, and social factors interact to lead to climate (im)mobility and how these interactions change within sea level rise, drought, flooding, and erosion contexts. We use system mapping and network analysis to determine which factors should be targeted as leverage points for policy makers and their resulting effects within each hazard context. Our findings identify physical infrastructure, social services, social capital, and political stability as places to intervene to increase resiliency in drought, flooding, and erosion climate migration systems. Using hazard context and community consultation, we recommend selecting target factors with direct relationships to other highly influential factors (livelihoods, food security, and financial capital) to elicit the most positive cascading effects through the whole system, leading to changes in migration. We also highlight the sea level rise climate migration system as highly complex in comparison to the other contexts examined and the need for multi-factored interventions in this context to create more resilient migration systems. Our findings contribute to the growing body of work which seeks to better understand the interactions between factors influencing climate migration.

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“…Whether migration presents a problem or solution depends on how and whether it is facilitated (Gemenne, 2013). Currently, a cohesive understanding of climate migration amongst governing agencies is lacking (Das Sharma et al, 2020). Successful migration is predicated on the preparedness of migrants and destinations.…”

Section: Challenges and Gapsmentioning

confidence: 99%

Challenges and Potentials of (Non-)Migration as Climate Change Adaptation in Bangladesh and Beyond

Priodarshini

Mallick

2021

Plan Plus

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Climate-induced migration is an increasingly prominent global issue, but it is more complex than the conventional picture of ‘environmental refugees’ suggests. Climate and migration's nexus entails various concerns for both climate-induced migrants and non-migrants. This article summarises the complexities surrounding climate-induced migration, outlining the variables that influence why people choose or decline migration as an adaptation strategy. It identifies the main challenges and gaps that current environmental migration trends and their management present, offering examples of improving practices in response to climate-induced movement. It concludes that migration and non-migration in response to climate change should be facilitated based on consideration of needs and aspirations rooted in local contexts, opining that non-migration should be prioritised where possible for the welfare of affected peoples.

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Environmental Migration and Regional Livelihood Planning: A Livelihood Planning Approach to Circular Migration

Cited by 4 publications

References 0 publications

Decision‐making factor interactions influencing climate migration: A systems‐based systematic review

Decision‐making factor interactions influencing climate migration: A systems‐based systematic review

Identifying leverage points in climate change migration systems through expert mental models

Challenges and Potentials of (Non-)Migration as Climate Change Adaptation in Bangladesh and Beyond

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