2017
DOI: 10.1007/s10584-017-2105-y
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Relationship between subjective well-being and material quality of life in face of climate vulnerability in NE Brazil

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Cited by 12 publications
(15 citation statements)
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References 35 publications
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“…For example, Peruvian social and food policies could have unintentional consequences for Shawi food security and could potentially will increase the susceptibility of Shawi to climate change through the erosion of Shawi social cohesion and collective institutions. Similar work in Brazil, for instance, illustrated that even tough anti-poverty social programs that increased cash incomes did not lead to a significant increase of the adaptive capacity to respond to climatic risk, mainly because those programs did not address the multiple non-climatic drivers of long term social vulnerability [ 84 , 85 ]. Additionally, Peruvian policies were reinforcing a proximal educational driver was is associated with the expectation of increasing incomes and diversifying livelihoods.…”
Section: Discussionmentioning
confidence: 99%
“…For example, Peruvian social and food policies could have unintentional consequences for Shawi food security and could potentially will increase the susceptibility of Shawi to climate change through the erosion of Shawi social cohesion and collective institutions. Similar work in Brazil, for instance, illustrated that even tough anti-poverty social programs that increased cash incomes did not lead to a significant increase of the adaptive capacity to respond to climatic risk, mainly because those programs did not address the multiple non-climatic drivers of long term social vulnerability [ 84 , 85 ]. Additionally, Peruvian policies were reinforcing a proximal educational driver was is associated with the expectation of increasing incomes and diversifying livelihoods.…”
Section: Discussionmentioning
confidence: 99%
“…The Sample sizes of the included studies varied between 48 and 4000, and their designs were heterogeneous. Three (20%) were randomised clinical trials (RCTs) [53][54][55], four (26.7%) were randomised evaluations of interventions [56][57][58][59], four (26.7%) were quasi-experimental studies [60][61][62][63], two (13.3%) were qualitative evaluations of interventions [28,64], and the remaining two (13.3%) were field experimental studies [65,66]. The most common regions where the studies occurred were South America, South Asia, and sub-Saharan Africa (figure 2).…”
Section: Study Characteristicsmentioning
confidence: 99%
“…Of the included studies, two (13.3%) targeted specific population groups (e.g. pregnant women [53], older adults [66]) in urban areas, and the other thirteen (86.7%) were population-based studies [28,[54][55][56][57][58][59][60][61][62][63][64][65] in rural areas considered at high-risk for environmental hazards. Two studies [53,55] had all-female samples, one had an all-male sample [66], and two [28,64] reported gender-disaggregated data in the qualitative analysis.…”
Section: Study Characteristicsmentioning
confidence: 99%
“…Dengue outbreaks in South East Asian countries are exacerbated by climate change and modification in landcover because of urbanization, deforestation, and agricultural intensification [5,6]. The dengue burden has been disproportionately affecting socioeconomically disadvantaged populations, who often have less capacity to invest in resilience-building and adaptation activities [7][8][9].…”
Section: Introductionmentioning
confidence: 99%