2016
DOI: 10.1016/j.worlddev.2016.01.008
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The Role of Risk Perception in Child Mobility Decisions in West Africa, Empirical Evidence From Benin

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Cited by 8 publications
(7 citation statements)
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“…Boamah et al 2015 ; Enete et al 2016 ; Evadzi et al 2018 ), others explicitly indicated them as providing labour, mental, financial, or material support, borrowing money, and food or shelter to affected family members or friends (e.g. Adelekan and Fregene 2015 ; Kielland 2016 ; Osman et al 2016 ; Frick-Trzebitzky 2017 ; Ajaero et al 2018 ). Thus, support from social networks can also aid in explaining the strong prevalence of temporary relocation after the onset of the flood events in case studies (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Boamah et al 2015 ; Enete et al 2016 ; Evadzi et al 2018 ), others explicitly indicated them as providing labour, mental, financial, or material support, borrowing money, and food or shelter to affected family members or friends (e.g. Adelekan and Fregene 2015 ; Kielland 2016 ; Osman et al 2016 ; Frick-Trzebitzky 2017 ; Ajaero et al 2018 ). Thus, support from social networks can also aid in explaining the strong prevalence of temporary relocation after the onset of the flood events in case studies (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Fourth and relatedly, households may respond to climate-induced changes in resource constraints by reallocating their investments (broadly defined) in children. For example, changes in household resources can be expected to affect a number of important decisions, including if, when, and where to enroll (or unenroll) children in school, seek health care for them, retain them in the household (e.g., versus out-fostering), and invest in their marriage (Akresh 2009;Beegle, Dehejia, and Gatti 2006;Carrico et al 2020;Eloundou-Enyegue and Stokes 2002;Kielland 2016;Jennings and Gray 2017;Jensen 2000). Climate-induced changes in household resource allocation may affect the likelihood of migration both immediately after an exposure and over longer periods of time.…”
Section: Early-life Climate and Lifetime Migrationmentioning
confidence: 99%
“…The Google mobility data on stay-at-home activities reveals the level of public social distancing behaviour during the COVID-19 pandemic (e.g., Wang and Yamamoto, 2020;Noland, 2021;Yilmazkuday, 2021). Prior studies have suggested that an individual's mobility information reflects the degree to which his or her mobility is restricted during the pandemic; in our case, it captures individuals' risk perception during the epidemic (e.g., Kielland, 2016;Hsiehchen et al, 2020;Lawal and Nwegbu, 2020). After merging the mobility data with the demographic and COVID crisis data based on Federal Information Processing Standards, our final sample contains 1,776 counties.…”
Section: Introductionmentioning
confidence: 89%