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Construction and Validation of a Livelihood Vulnerability Index for Agriculture Human-Wildlife Conflict

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Gyanendra Singh — Research Scholar
A P Verma — Assistant Professor, Department of Agricultural Extension
B K Gupta — Assistant Professor, Department of Agricultural Extension
Gaurav Shukla — Assistant Professor, Department of Statistics and Computer Science, CoA
Rohit Chaudhary — Assistant Professor, Department of Wildlife Sciences, CoF, BUAT, Banda-210001, Uttar Pradesh, India
Published 28 Sep 2026 Vol. 62 No. 4 (2026), pp. 256-262 ● Open access
❝ How to cite 🔗 https://doi.org/10.48165/IJEE.2026.624RT05
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Abstract

Agriculture-human-wildlife conflict (AHWC) can affect farming households through crop damage, livestock loss, protection costs and constraints on livelihood security. The study was undertaken in 2026 to develop and validate a Livelihood Vulnerability Index (LVI) for farming households exposed to AHWC. An initial pool of 79 sub-indicators was generated from literature review and expert consultation and organized a priori under exposure, sensitivity and adaptive capacity following the IPCC vulnerability framework. A relevancy schedule was circulated among 75 experts, of whom 45 returned complete responses. Sub-indicators were screened using Relevancy Weightage (RW), Mean Relevancy Score (MRS), Overall Mean Relevancy Score (OMRS) and Content Validity Ratio (CVR), with retention criteria of RW > 0.80, MRS > OMRS (2.40) and CVR > 0.29. Fifty-seven sub-indicators were retained, 17 under exposure, 12 under sensitivity and 28 under adaptive capacity. The final instrument was arranged on a five-point continuum and pilot-tested with 50 farming households from a non-sample area. Cronbach’s alpha was 0.929 for the overall index and 0.814, 0.812 and 0.864 for exposure, sensitivity and adaptive capacity, respectively. The findings supported the use of the index as a structured tool for field assessment of livelihood vulnerability associated with AHWC. 

 

KeywordsAgriculture-human-wildlife conflictExposureSensitivityAdaptive capacityLivelihoodVulnerability

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  1. Ayre, C., & Scally, A. J. (2014). Critical values for Lawshe’s content validity ratio: Revisiting the original methods of calculation. Measurement and Evaluation in Counseling and Development, 47(1), 79–86. https://doi.org/10.1177/0748175613513808
  2. Barua, M., Bhagwat, S. A., & Jadhav, S. (2013). The hidden dimensions of human-wildlife conflict: Health impacts, opportunity and transaction costs. Biological Conservation, 157, 309–316. https://doi.org/10.1016/j.biocon.2012.07.014
  3. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
  4. Gupta, S. K., Nain, M. S., Singh, R., & Mishra, J. R. (2022). Development of scale to measure agripreneurs attitude towards entrepreneurial climate. Indian Journal of Extension Education, 58(2), 153–157. https://doi.org/10.48165/IJEE.2022.58237
  5. Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change—A case study in Mozambique. Global Environmental Change, 19(1), 74–88. https://doi.org/10.1016/j.gloenvcha.2008.11.002
  6. Intergovernmental Panel on Climate Change. (2007). Climate change 2007: Impacts, adaptation and vulnerability. Cambridge University Press.
  7. Kumar, A., & Mohanasundari, T. (2025). Assessment of livelihood vulnerability to climate change among tribal communities in Chhindwara and Dhar district, Central India. Scientific Reports, 15, 8843. https://doi.org/10.1038/s41598-025-90769-8
  8. Kumar, M., Meena, H. R., Seth, P., & Bara, N. (2018). An index to measure vulnerability of livestock owner’s livelihood in the vicinity of national park. International Journal of Current Microbiology and Applied Sciences, 7(8), 2889–2898. https://doi.org/10.20546/ijcmas.2018.708.306
  9. Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. https://doi.org/10.1111/j.1744-6570.1975.tb01393.x
  10. Mallappa, V. K. H., & Gadde, S. (2025). A tool to measure livelihood vulnerability of climate-sensitive farming communities. Indian Journal of Extension Education, 61(4), 160–164. https://doi.org/10.48165/IJEE.2025.614RT01
  11. Meena, D. C., Meena, B. S., Garai, S., Meena, H. R., Sankhala, G., & Chadda, A. (2022). Crop and livestock depredation by wild animals: The case of Ranthambore Tiger Reserve, India. Indian Journal of Extension Education, 58(4), 38–41. https://doi.org/10.48165/IJEE.2022.58408
  12. Minh, D. D., Lebailly, P., Hao, N. D., Burny, P., & Hop, H. T. M. (2019). The dynamics of livelihood vulnerability index at farm household level: An empirical analysis of the coastal sandy zone in Thua Thien Hue Province, Vietnam. International Journal of Economics and Financial Issues, 9(5), 77–89. https://doi.org/10.32479/ijefi.8250
  13. Nyhus, P. J. (2016). Human-wildlife conflict and coexistence. Annual Review of Environment and Resources, 41, 143–171. https://doi.org/10.1146/annurev-environ-110615-085634
  14. Pandey, R., & Jha, S. K. (2012). Climate vulnerability index—Measure of climate change vulnerability to communities: A case of rural Lower Himalaya, India. Mitigation and Adaptation Strategies for Global Change, 17(5), 487–506. https://doi.org/10.1007/s11027-011-9338-2
  15. Pereira, J. G., Rosalino, L. M., Ekblom, A., & Santos, M. J. (2024). Livelihood vulnerability and human-wildlife interactions across protected areas. Ecology and Society, 29(1), 13. https://doi.org/10.5751/ES-14605-290113
  16. Rao, K. S., Maikhuri, R. K., Nautiyal, S., & Saxena, K. G. (2002). Crop damage and livestock depredation by wildlife: A case study from Nanda Devi Biosphere Reserve, India. Journal of Environmental Management, 66(3), 317–327. https://doi.org/10.1006/jema.2002.0587
  17. Sahu, V., Singh, V. K., Maji, S., Lakshmi, R., Kumar, M., & Singh, M. (2026). Construction of an index to assess the awareness of horticultural farmers towards e-extension services. Indian Journal of Extension Education, 62(2), 135–140. https://doi.org/10.48165/IJEE.2026.622RT01
  18. Shitu, G. A., Nain, M. S., & Kobba, F. (2018). Development of scale for assessing farmers’ attitude towards precision conservation agricultural practices. Indian Journal of Agricultural Sciences, 88(3), 499–504. https://doi.org/10.56093/ijas.v88i3.78741
  19. Verma, A. P., Mishra, B. P., Mishra, Sharma, A., Yadav, R., & Katiyar, D. (2026). Development and validation of agricultural human wildlife conflict tolerance scale for farming households. Indian Journal of Extension Education, 62(3), 285–291. https://doi.org/10.48165/IJEE.2026.623RT03
  20. Vijayan, B., Nain, M. S., Singh, R., & Kumbhare, N. V. (2022). Knowledge test for extension personnel on National Food Security Mission. Indian Journal of Extension Education, 58(2), 191–194. https://doi.org/10.48165/IJEE.2022.58246
  21. Vijayan, B., Nain, M. S., Singh, R., Kumbhare, N. V., & Kademani, S. B. (2023). Knowledge test for extension personnel on Rashtriya Krishi Vikas Yojana. Indian Journal of Extension Education, 59(1), 131–134. https://doi.org/10.48165/IJEE.2023.59127
  22. Zainab, A., & Shah, K. U. (2024). Taking stock of recent progress in livelihood vulnerability assessments to climate change in the developing world. Climate, 12(7), 100. https://doi.org/10.3390/cli12070100

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