期刊
ENVIRONMENTAL DEVELOPMENT
卷 12, 期 -, 页码 16-36出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.envdev.2014.06.003
关键词
Cluster analysis; Sensitivity analysis; Vulnerability groups; Vulnerability indicators; Risk assessment; Climate change
资金
- HSBC Bank India
The study focuses on the assessment of inherent vulnerability of rural communities in Kimsar region to environmental hazards. A new conceptual framework was developed and hazard generic socioeconomic indicators were identified in the assessment of inherent vulnerability of the communities to future harm. All the households from the selected villages were surveyed to collect information on the identified indicators. These indicators captured eight sub-components of inherent vulnerability, which includes lack of access to water, shelter, information, and connectivity, economic capacity, dependence on environmental resources, marginalised communities and gender. An Inherent Vulnerability Score (IVS) was computed, for each of the twelve villages by aggregating the data into a composite score. Sensitivity analysis was conducted for the composite score. The results obtained from a cluster analysis on the same village-level data were consistent with the lVS. Based on the results of cluster analysis, the villages were classified into three vulnerability groups high, moderate and low. Access to water, dependence on environmental resources and shelter were found to be the most important determinants of inherent vulnerability in the region. Knowledge of inherent vulnerability will aid decision-makers to formulate policies, which will reduce vulnerability and help in rational distribution of resources among various communities. (C) 2014 Elsevier Ltd. All rights reserved.
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