2015
DOI: 10.1007/s10584-015-1572-2
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Vulnerability of Chepang households to climate change and extremes in the Mid-Hills of Nepal

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Cited by 69 publications
(98 citation statements)
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“…Some studies used equal weight, as in Hahn et al (2009), while some preferred to consult with an expert, as in Chhinh and Cheb (2013). The most common method for the weighing indicator was Principal Component Analysis (PCA), as recommended in (Gbetibouo and Ringler 2009;Piya et al 2012;Megersa 2015). This paper used the PCA approach to assign weight.…”
Section: Vulnerability Indexmentioning
confidence: 99%
See 1 more Smart Citation
“…Some studies used equal weight, as in Hahn et al (2009), while some preferred to consult with an expert, as in Chhinh and Cheb (2013). The most common method for the weighing indicator was Principal Component Analysis (PCA), as recommended in (Gbetibouo and Ringler 2009;Piya et al 2012;Megersa 2015). This paper used the PCA approach to assign weight.…”
Section: Vulnerability Indexmentioning
confidence: 99%
“…Note: *** p < 0.01, ** p < 0.05 Piya et al (2012) explained that access to loans could be a social safety net to overcome all types of shocks. However, in this study, credit accessibility revealed an unexpected sign.…”
Section: Determinants Of Vulnerability To Povertymentioning
confidence: 99%
“…For smallholders, losing livestock has a great impact and lasting effect on livelihood so that livestock sickness and mortality could even trigger chronic poverty. High vulnerability and reduced livelihood options has increased off-season migration to India and more distant countries, which has increased the risks of indebtedness of poor families and put additional burden on women, children and elder population to cope [24].…”
Section: Livelihood Vulnerabilitymentioning
confidence: 99%
“…The equal weighing (EW) approach, which gives all variables the same weight, is applied to aggregate indicators [53]. The statistical model of principal components analysis (PCA), which groups all variables according to their degree of correlation, was first used by Cutter in social vulnerability assessments and has become one of the classic models for evaluating social vulnerability in the fields of natural hazards and climate change [54][55][56][57][58][59][60][61]. Analytical hierarchy process (AHP), as a multi-criteria decision-making approach, is another method suitable for assessing social vulnerability to climate change [62][63][64][65][66].…”
Section: Introductionmentioning
confidence: 99%