2018
DOI: 10.1080/02508060.2017.1416445
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Determinants of livelihood vulnerability in farming communities in two sites in the Asian Highlands

Abstract: To identify the indicators of adaptive capacity that determine vulnerability of households, an intensive investigation was conducted in farming communities at two locations in the Asian highlands. Livelihood vulnerability was assessed, classified to four categories and regressed against current adaptive capacity using logistic regression. Household head's education, irrigated land, non-agricultural income, and technologies used were associated with adaptive capacity. The strengthening of human, natural and fin… Show more

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Cited by 71 publications
(66 citation statements)
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References 34 publications
(51 reference statements)
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“…Similarly, analysis of specific interview questions in Appendix A is given in respective sub-sections of the results section. Furthermore, the SLF was adopted for its rigor as it highlighted in detail diverse aspects of livelihoods [59], which was the basis for identification of capacity indices [60] during the focus group discussions. From the focus group discussions, each type of capital was initially treated as a composite factor, which was further broken down into identified dimensions for analyses and narratives ( Figure 2).…”
Section: Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, analysis of specific interview questions in Appendix A is given in respective sub-sections of the results section. Furthermore, the SLF was adopted for its rigor as it highlighted in detail diverse aspects of livelihoods [59], which was the basis for identification of capacity indices [60] during the focus group discussions. From the focus group discussions, each type of capital was initially treated as a composite factor, which was further broken down into identified dimensions for analyses and narratives ( Figure 2).…”
Section: Analysesmentioning
confidence: 99%
“…From the focus group discussions, each type of capital was initially treated as a composite factor, which was further broken down into identified dimensions for analyses and narratives ( Figure 2). for identification of capacity indices [60] during the focus group discussions. From the focus group discussions, each type of capital was initially treated as a composite factor, which was further broken down into identified dimensions for analyses and narratives ( Figure 2).…”
Section: Analysesmentioning
confidence: 99%
“…Environmental shocks and stresses (e.g., drought) related to climate change were viewed from the perspective of each of these types of capital. The methodology has since been applied to study communities and regions elsewhere in the developing world and Ethiopia and provides the foundation for this research as well [20,22,25,[28][29][30][31][32][33].…”
Section: Livelihood Vulnerability To Climate Changementioning
confidence: 99%
“…From November 2017 to August 2018, we visited the survey sites five times so that we could witness local activities during all seasons. During each visit, key household surveys, focus group discussions (FGDs), and semi-structured interviews were conducted [15,28] based on recall method for the past five to ten years to investigate the usage of TEK by indigenous communities in adjusting their activities to seasonal and climatic variations. The collected data were informed by factors such as the general understanding of climate change and traditional practices used in Taxkorgan.…”
Section: Data Collectionmentioning
confidence: 99%
“…Most of the researches on adaptation to climate change have been focused on tropics and lowland (e.g., Ghana, Zimbabwe and Brazil) [11,21,27]. Recently, documenting the traditional knowledge of aboriginal mountainous communities (e.g., alpine Himalaya region, Ethiopia and Tanzania) [15,[28][29][30] was considered an essential task. under the higher climate changing rate and harsher environmental condition, communities in high mountains have been and will be affected by climate change compared with those living in lowland areas [31].…”
Section: Introductionmentioning
confidence: 99%