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Home▶ Journals▶ Indian Journal of Extension Education▶Archive▶Vol. 62 No. 4 (2026)▶Assessment of Climate Change Vulnerability among…
Indian Journal of Extension Education
Research Article

Assessment of Climate Change Vulnerability among Smallholder Farmers in Cooch Behar, West Bengal

, , , , ,
Kausik Pradhan — Professor
Anubhab Karjee — M.Sc. Scholar
Swapnamay Ghosh — Ph.D. Research Scholar, Department of Agricultural Extension, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar-736165, West Bengal, India
Marimuthu Praveenkumar — Ph.D. Research Scholar, Department of Agricultural Extension, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar-736165, West Bengal, India
Chigilipalli Mounika — Ph.D. Research Scholar, Department of Agricultural Extension, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar-736165, West Bengal, India
Atreyee Sarkar — Ph.D. Research Scholar, Department of Agricultural Extension, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar-736165, West Bengal, India
Published 29 Sep 2026 Vol. 62 No. 4 (2026), pp. 214-219 ● Open access
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Abstract

Climate change disproportionately affects smallholder farmers, yet assessments of climate vulnerability remain limited for under-studied regions such as Cooch Behar in West Bengal. This study assessed climate-change vulnerability and adaptive response among 120 smallholder households selected through multistage sampling during 2025 in two blocks of Cooch Behar. Composite Vulnerability and Adaptive Response Indices were constructed by normalising indicators within the exposure sensitivity adaptive capacity framework (higher scores indicate greater vulnerability and greater adaptive response, respectively). The 19 independent variables were correlated with each of the two indices, and multiple regression was used to determine the significant ones. The strongest relationship with both indices was with land holding, income, expenditure and educational status, the latter correlations being non significant with family size and extension contact. Vulnerability was significantly predicted by educational status alone (R² = 0.520) while educational status, land holding and family size predicted adaptive response (R² = 0.788). The findings highlight education as a practical policy consideration for building climate-resilient smallholder households and demonstrate the utility of composite indices for identifying vulnerable households. 

 

KeywordsAdaptive responseClimate changeComposite vulnerabilitySmallholder farmersClimate-resilient households

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  1. Ashoka, N., Harshavardhan, M., Hongal, S., Meti, S., Raju, R., Patil, G. I., & Shashidhara, N. (2022). Farmers’ acuity on climate change in the central dry zone of Karnataka. Indian Journal of Extension Education, 58(3), 136–141. https://doi.org/10.48165/IJEE.2022.58328
  2. Balaganesh, G., & Sendhil, R. (2025). Development of household vulnerability index to climate change induced drought: Empirical evidence from rural farm households in Tamil Nadu, India. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-025-06095-6
  3. Basak, R. (2026). Rainfall variability and agricultural productivity: A case study in Cooch Behar district of West Bengal, India. Saudi Journal of Humanities and Social Sciences, 11(3), 84–90. https://doi.org/10.36348/sjhss.2026.v11i03.002
  4. Ghosh, M., & Ghosal, S. (2020). Determinants of household livelihood vulnerabilities to climate change in the Himalayan foothills of West Bengal, India. International Journal of Disaster Risk Reduction, 50, 101706.
  5. Iyengar, N. S., & Sudarshan, P. (1982). A method of classifying regions from multivariate data. Economic and Political Weekly, 17(51), 2047–2052.
  6. Jatav, S. S. (2024). Farmers’ perception of climate change and livelihood vulnerability: A comparative study of Bundelkhand and Central regions of Uttar Pradesh, India. Discover Sustainability, 5, 11. https://doi.org/10.1007/s43621-024-00193-7
  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, A., Mishra, V. K., Mandal, U., Kaushal, R., Roy, T., Garg, S., & Madhu, M. (2026). Flood risk zonation and agricultural vulnerability assessment using AHP and land use analysis in the Burhi Gandak basin in Lower Gangetic Plains, India. Natural Hazards, 122(11), 471.
  9. Kumar, K. N. R., Reddy, M. J. M., Reddy, K. V., Paramesha, V., Balasubramanian, M., Kumar, T. K., Kumar, R. M., & Reddy, D. D. (2023). Determinants of climate change adaptation strategies in South India: Empirical evidence. Frontiers in Sustainable Food Systems, 7, 1010527. https://doi.org/10.3389/fsufs.2023.1010527
  10. Mishra, G., Gupta, B. K., Mishra, B. P., Verma, A. P., Mishra, D., & Shukla, G. (2026). Assessing climate change adaptation strategies among livestock rearers in Bundelkhand region, India. Indian Journal of Extension Education, 62(1), 129–134. https://doi.org/10.48165/IJEE.2026.62121
  11. Sodhi, G. P. S., Singh, R. K., Dhillon, G. S., Ahuja, S., Kaur, A., Sunidhi, Kaur, T., Murai, A. S., Singh, R., & Kaur, S. (2023). Adoption behaviour of climate-resilient agricultural practices in Punjab under NICRA project. Indian Journal of Extension Education, 59(2), 46–50. https://doi.org/10.48165/IJEE.2023.59210
  12. Nallamuthu, P., Sriram, N., Karthikeyan, C., Lourdusamy, D. K., & Prahadeeswaran, M. (2026). Climate resilience in coconut farming systems: A systematic review and bibliometric analysis of vulnerability and adaptation. Genetics and Molecular Research, 25(12s). https://doi.org/10.4238/pncqwa70
  13. Neha, Rawat, M., & Upasana. (2024). Exploring proximate determinants of farmers adaptation measures to climate change: A comprehensive review. International Journal of Agriculture Extension and Social Development, 7(7S), 101–107. https://doi.org/10.33545/26180723.2024.v7.i7Sb.781
  14. Patel, S., Mall, R. K., Chaturvedi, A., Singh, R., & Chand, R. (2023). Passive adaptation to climate change among Indian farmers. Ecological Indicators, 154, 110637. https://doi.org/10.1016/j.ecolind.2023.110637
  15. Sarkar, S., Mukherjee, A., Biswas, A., Gorain, S., Bera, B., Giri, A., Roy Choudhury, M., Dutta, S., & Das, S. (2026). Evaluating farmers’ strategies and socioeconomic drivers for adaptation to climate uncertainty: A case study in the Himalayan region of West Bengal, India. Regional Sustainability, 7(2), 100334. https://doi.org/10.1016/j.regsus.2026.100334
  16. Serkendiz, H., & Tatli, H. (2023). Assessment of multidimensional drought vulnerability using exposure, sensitivity, and adaptive capacity components. Environmental Monitoring and Assessment, 195(10), 1154. https://doi.org/10.1007/s10661-023-11711-x
  17. Shitu, A. G., Nain, M. S., & Singh, R. (2018). Developing extension model for smallholder farmers uptake of precision conservation agricultural practices in developing nations: Learning from rice wheat system of Africa and India. Current Science, 114(4), 814–825.
  18. Shitu, A. G., & Nain, M. S. (2024). Benefits of precision conservation agriculture practices as perceived by Indo-Gangetic Plain (IGP) community for climate-smart agriculture. SKUAST Journal of Research, 26(2), 219–226. https://doi.org/10.5958/2349-297X.2024.00029.2
  19. Singh, S., Das, J., Goyal, A. K., & Mohanty, S. K. (2025). Spatial pattern of climatic exposure and multidimensional poverty in districts of India. Sustainable Cities and Society, 130, 106530. https://doi.org/10.1016/j.scs.2025.106530
  20. Yadav, M. (2022). South Asian monsoon extremes and climate change. In Extremes in atmospheric processes and phenomenon: Assessment, impacts and mitigation (pp. 59–86). Springer Nature Singapore.
  21. Zhai, L., & Lee, J. E. (2024). Investigating vulnerability, adaptation, and resilience: A comprehensive review within the context of climate change. Atmosphere, 15(4), 474. https://doi.org/10.3390/atmos15040474

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