LATEST PUBLICATIONS
PN 2022-02
How Can DSWD's Social Pension Program for Indigent Senior Citizens be Improved?
RPS 2022-01
How Does the Philippines Fare in Meeting the ASEAN Economic Community Vision 2025?
PJD 2022 Vol. 46 No. 1d
Surveying the Extent and Wage Consequences of Education-Job Mismatches in the Philippine Labor Market
PJD 2022 Vol. 46 No. 1c
Disentangling the Effects of Maternal Employment on Child Stunting in the Philippines

LATEST AV MATERIALS
PIDS WB 2021-1201
Analyzing the President's Budget for 2022
GIZ-FFS-2020-01
WASHaLOT 3.0: Production Process
GIZ-FFS-2021-03
WASHaLOT 3.0 Mass Production
GIZ-FFS-2021-02
Minimum Requirement Guidelines on WASH in Schools
Publication Detail
SEARCA AJAD 2021 18-2-2: Household Vulnerability to Climate Change and Identification of Target Beneficiaries to Implement Household-Specific Adaptation Strategies: A Quantitative Assessment

This study investigated the climate change vulnerability of 6,214 households in the drought-prone districts of Telangana state in India. Principal component analysis (PCA) and cluster analysis were used to group farm households based on their level of vulnerability to climate change and to suggest a portfolio of adaptation strategies. The PCA revealed the presence of five components from 14 key variables: (1) access to irrigation; (2) credit access, landholding, and income from agriculture; (3) household size and income sources; (4) access to information and climate-smart adaptation practices; and (5) social capital. The first five components (eigenvalue ≥ 1) collectively accounted for 60.42 percent of the total variance. Three clusters emerged after the component scores were analyzed using K means clustering: extremely vulnerable, moderately vulnerable, and resilient households. The results of the cluster analysis revealed that 79 percent of the households were extremely vulnerable, 11.20 percent were moderately vulnerable, and 9.65 percent were resilient. Moreover, 96 percent of marginal farmers and 94 percent of smallholder farmers were extremely vulnerable, while 19 percent of large farmers and 16 percent of medium farmers were moderately vulnerable. Interestingly, nearly 26 percent in the extremely vulnerable category and 19 percent in the moderately vulnerable category were large farmers, which contradicts previous assumptions. The findings of this study can guide development practitioners, policymakers, and donors in designing evidence-based programs focusing on households vulnerable to climate change.

Southeast Asian Regional Center for Graduate Study and Research in Agriculture
Authors Keywords
Nedumaran, Swamikannu; Nandi, Ravi; Padmanabhan, Jyosthnaa; Reddy, Srigiri Srinivasa; Kadiyala, Dakshina Murthy; Kumar, Shalander; household vulnerability; India; climate change; principal component analysis; PCA; cluster analysis; Telangana; Quantitative Assessment;
Download PDF Number of Downloads
Published in 2021 and available in the SEARCA K-Shop or Downloaded 0 times since January 05, 2022
×
Please let us know your reason for downloading this publication. May we also ask you to provide additional information that will help us serve you better? Rest assured that your answers will not be shared with any outside parties. It will take you only two minutes to complete the survey. You will answer the profile questions only once as long as you enter the same email address. Thank you.


To use as reference:
If others, (Please specify):
Name: (optional)
Email: (required, but will not display; please use the same email address when downloading another publication so that the profile questions will not appear)
Age:
Gender:
If Prefer to self-describe, please specify:
Level of Education:
Occupation:
If employed either part-time or full-time, name of office:
If others, (Please specify):
Would you like to receive the SERP-P UPDATES e-newsletter? Yes No
Use the space below if you have any comment about this publication or SERP-P knowledge resources in general.