Climate change and internal migration patterns in Bangladesh: an agent-based model

Hassani-Mahmooei, Behrooz; Parris, Brett

doi:10.1017/s1355770x12000290

Cited by 127 publications

(80 citation statements)

References 39 publications

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“…When the utility variables alter, people would change the not changing job or residence location first. In general, the above results confirm the higher frequency of people's job or residence location change in Bangladesh if the climate changes in a more serious way, which was also reported in other research work in Bangladesh [34,40] and other parts of the world [33,35,38]. The economic factors such as income have proved to have an important impact on the location change behavior, which conforms to previous research results [21,35,40].…”

Section: Cnl Model Estimation Resultssupporting

confidence: 90%

“…They also suggest that rainfall's impact on location change choice is expressed via its influence on other drivers such as differential employment opportunities, limited access to natural resources, national policies and incentives, ecological vulnerability, political instability, and infrastructure. With the same methodology, Hassani-Mahnooei and Parris explored people's internal migration under climate change in Bangladesh [34]. After a review of empirical research on migration and climate change, Klaiber confirms that household location change arises due to changes in economic opportunities and climate amenities resulting from climate change [21].…”

Section: Introductionmentioning

confidence: 92%

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Residence and Job Location Change Choice Behavior under Flooding and Cyclone Impacts in Bangladesh

Rahman³

2015

Sustainability

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Climate change enters significantly into and is shown to be a direct determinant of residence and job location change decisions. Understanding of how people's residence and job location change choice behavior is affected and thus responds to the impacts of climate change is essential for transportation planners and adaptation decision makers. As an addition to the current literature, the main purposes of this paper are to investigate people's residence and job location change choice behavior affected by factors at origin and look into the behavioral differences between coastal and inland people under flooding and cyclone scenarios in Bangladesh. Questionnaire data were surveyed in 14 coastal and inland cities of Bangladesh with an orthogonal design of three flooding/cyclone scenarios. The multinomial Logit model and cross-nested Logit model are proposed to address the above purposes. Results of this study indicate that flooding/cyclone factors and income, land owned, and number of family members significantly affects people's location change choice. In addition, coastal people are also significantly affected by previous experience factors. Furthermore, road connection plays an important role when people choose to change residence locations in coastal areas. It is also found that if there are changes in OPEN ACCESSSustainability 2015, 7 11613 flooding impacts, the inland people will first consider to change their job locations, while the coastal people would consider both job and residence location changes. Results of this work provide policy suggestions on transportation infrastructure investment, shelter planning and construction, and population migration under flood and cyclone impacts as a result of climate change.

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Section: Cnl Model Estimation Resultssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 92%

Residence and Job Location Change Choice Behavior under Flooding and Cyclone Impacts in Bangladesh

Rahman³

2015

Sustainability

View full text Add to dashboard Cite

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“…Inter-provincial migration of households due to temperature anomalies was observed in Indonesia [68] and, for male migrants, in the case of Pakistan [65]. Furthermore, in a study concerning the US [69], as well as in other studies at the micro-level, climate shocks, as captured by measures of temperature, humidity, and wind, have been shown to result in short-distance internal migration [52,60,70,71].…”

Section: Climate Shocks and Internal Migrationmentioning

confidence: 89%

Climate Change, Agriculture and Migration: A Survey

2018

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This paper proposes a selective review of the classical economics-based literature on climate change and migration, focusing on the extent to which agriculture might be considered a key mediating channel linking climate change to migration. Overall, climate change is expected to have large and negative effects on the global economy. These effects are even more evident whenever the economic sector considered is the agricultural one, particularly in developing countries. Hence, migration can be viewed as a specific form of adaptation implemented by individuals and households, enabling them to cope, among other things, with weather-induced risk. We show that the importance of agriculture emerges from both plenty of micro-level country studies and relatively few macro-level analyses using cross-sectional data over longer time periods. Thus, policy actions targeted to sustainable agriculture and rural development can both help tackle the challenges posed by climate change and create opportunities in the face of growing migration issues. However, we also stress that much of the current evidence is based on statistical associations that have nothing to do with causal inferences. This calls for the use of a more structural approach and more sophisticated research designs, enabling the researchers to better discriminate among different mechanisms concurrently at work. In addition, further research should be addressed to the role played by food security, a complex dimension largely missing in the current debates on climate change and migration.

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“…Bunce et al 2010b;Hassani-Mahmooei and Parris 2012;Swain et al 2011). Subsistence farmers and fishing communities are usually the focus of these community-level studies (Aphunu and Nwabeze 2012;Malm and Esmailian 2012;Sall et al 2011).…”

Section: Deltasmentioning

confidence: 99%

Social vulnerability in three high-poverty climate change hot spots: What does the climate change literature tell us?

et al. 2014

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This paper reviews the state of knowledge on social vulnerability to climate change in three hot spots (deltas, semi-arid regions and snowpack-or glacier-fed river basins) in Africa, Central Asia and South Asia, using elements of systematic review methods. Social vulnerability is defined as a dynamic state of societies comprising exposure, sensitivity and adaptive capacity. We examine whether the hot spots have specific characteristics that tend to increase or decrease social vulnerability, consider suitable scales of analysis for understanding vulnerability, and explore the conceptions of vulnerability adopted in the climate change literature and the nature of the insights this generates. Finally, we identify knowledge gaps in this literature. All three hot spots are characterized by high levels of natural resource dependence, with increasing environmental degradation. They also exhibit unequal policies and patterns of development, which benefit certain segments of society while making others more vulnerable. Vulnerability is driven by multiple factors operating at different scales; however, characterization of cross-scalar interactions is poorly developed in the majority of studies reviewed. Most studies are either large scale, such as broad comparisons of vulnerability across countries, or local, documenting community-level processes. Detailed understanding of the interactions between climate change impacts on natural systems, and socio-economic trajectories, including adaptation, also emerges as a knowledge gap.

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Climate change and internal migration patterns in Bangladesh: an agent-based model

Cited by 127 publications

References 39 publications

Residence and Job Location Change Choice Behavior under Flooding and Cyclone Impacts in Bangladesh

Residence and Job Location Change Choice Behavior under Flooding and Cyclone Impacts in Bangladesh

Climate Change, Agriculture and Migration: A Survey

Social vulnerability in three high-poverty climate change hot spots: What does the climate change literature tell us?

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