Do Climate Change Adaptation Practices Enhance Dairy Farmers' Income? Evidence from Odisha, India
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Keywords:
Adaptation, Climate Change, Dairy, Endogenous Switching Regression (ESR), Income, ImpactAbstract
Climate change-induced heat stress poses a significant threat to dairy production and farm livelihoods. This study examined the determinants of climate adaptation and its impact on dairy household income using data from 360 dairy farmers in Odisha. A simultaneous equations model combined with endogenous switching regression was employed to account for selection bias and estimate income effects of adaptation. The results showed that herd size, education, access to climate information, climate awareness, and participation in employment programmes significantly increased the likelihood of adopting climate-resilient practices, while larger family size reduced adoption. Farmers with low adaptation levels could increase their income by nearly 68 percent by adopting more than half of the identified adaptation measures. Conversely, highly adaptive farmers would experience an estimated 29 percent decline in income if adoption fell below threshold. The findings highlight the pivotal role of climate adaptation in strengthening the economic resilience of dairy households. Targeted awareness, training, and capacity-building interventions are essential to enhance adoption among low-adopting farmers. Participation in employment programmes such as MGNREGA (now Viksit Bharat Guarantee for Rozgar and Ajeevika Mission–Gramin, VB-G RAM) not only supports household income but also promotes climate-resilient practices. Policy efforts should therefore prioritize vulnerable dairy farmers to accelerate adaptation and improve farm income under a changing climate.
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Abdulai A and Huffman W. 2014. The adoption and impact of soil and water conservation technology: An endogenous switching regression application. Land Economics 90 (1): 26–43. https://doi.org/10.3368/le.90.1.26
Acharya K K. 2023. Climate change-induced production risk and adaptation strategies in dairy farm households of Odisha. PhD Thesis. ICAR-National Dairy Research Institute, Karnal, Haryana, India.
Acharya K K and Dixit A K. 2025. Perceived climate change risks and constraints faced by dairy farmers in Odisha. Indian Journal of Ecology 52 (1): 217–221. https://doi.org/10.55362/IJE/2025/4481
Annual Report on Natural Calamities. 2021–22. Special Relief Commissioner, Revenue and Disaster Management Department, Government of Odisha, Bhubaneswar, India. https://srcodisha.nic.in/annualReport/4vP2yUSqANNUAL%20REPORT%20ON%20NATURAL%20CALAMITIES,2021-22.pdf
Bahinipati C S. 2014. Assessment of vulnerability to cyclones and floods in Odisha, India: A district-level analysis. Current Science 107: 1997–2007. https://www.jstor.org/stable/24216033
Birthal P S, Hazrana J and Negi D S. 2021. Impacts of climatic hazards on agricultural growth in India. Climate and Development 13 (10): 895–908. https://doi.org/10.1080/17565529.2020.1867045
Dash S, Chakravarty A K, Sah V, Jamuna V, Behera R, Kashyap N and Deshmukh B. 2015. Influence of temperature and humidity on pregnancy rate of Murrah buffaloes. Asian-Australasian Journal of Animal Sciences 28 (7): 943–950. https://doi.org/10.5713/ajas.14.0825
Deressa T T, Hassan R M, Ringler C, Alemu T and Yusuf M. 2009. Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Global Environmental Change 19: 248–255. https://doi.org/10.1016/j.gloenvcha.2009.01.002
Deressa T T, Hassan R M and Ringler C. 2011. Perception of and adaptation to climate change by farmers in the Nile Basin of Ethiopia. The Journal of Agricultural Science 149 (1): 23–31. https://doi.org/10.1017/S0021859610000687
Di Falco S, Veronesi M and Yesuf M. 2011. Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. American Journal of Agricultural Economics 93 (3): 829–846. https://doi.org/10.1093/ajae/aar006
Di Falco S and Veronesi M. 2013. How can African agriculture adapt to climate change? A counterfactual analysis from Ethiopia. Land Economics 89 (4): 743–766. https://doi.org/10.3368/le.89.4.743
Egeru A. 2016. Climate risk management information, sources and responses in a pastoral region in East Africa. Climate Risk Management 11: 1–14. https://doi.org/10.1016/j.crm.2015.12.001
Fifteenth Finance Commission. 2019. Report for the year 2020–21. Government of India, New Delhi. https://fincomindia.nic.in/asset/pdf/commission-reports/XVFC_202021%20Report_English_Web.pdf
Fischer H W. 2020. Policy innovations for pro-poor climate support: Social protection, small-scale infrastructure, and active citizenship under India’s MGNREGA. Climate and Development 12 (8): 689–702. https://doi.org/10.1080/17565529.2019.1676690
Khanal U, Wilson C, Hoang V and Lee B. 2018. Farmers’ adaptation to climate change, its determinants and impacts on rice yield in Nepal. Ecological Economics 144: 139–147. https://doi.org/10.1016/j.ecolecon.2017.08.006
Khatri-Chhetri A, Aggarwal P K, Joshi P K and Vyas S. 2017. Farmers’ prioritization of climate-smart agriculture technologies. Agricultural Systems 151: 184–191. https://doi.org/10.1016/j.agsy.2016.10.005
Kumar A, Saroj S and Mishra A. 2021. Crop insurance and rice productivity: Evidence from eastern India. Economic and Political Weekly 58: 5–12. https://www.epw.in/journal/special-articles/crop-insurance-and-rice-productivity.html
Kumar N, Rao T K S, Varghese A and Rathor V S. 2013. Internal parasite management in grazing livestock. Journal of Parasitic Diseases 37 (2): 151–157. https://doi.org/10.1007/s12639-012-0215-z
Lawler J J, Spencer B, Olden J D, Kim S, Lowe C, Bolton S and Voss J. 2013. Mitigation and adaptation strategies to reduce climate vulnerabilities and maintain ecosystem services. (In) Climate Vulnerability, pp. 315. Academic Press. https://doi.org/10.1016/B978-0-12-384703-4.00436-6
Mal P, Anik A R, Bauer S and Schmitz P M. 2013. Bt cotton adoption: A double-hurdle approach for north Indian farmers. AgBioForum 15 (3): 294–302.
OES. 2021–22. Planning and Convergence Department, Government of Odisha. https://pc.odisha.gov.in/en
Radhakrishnan A, Gupta J and Kumar R D. 2017. Vulnerability of dairy-based livelihoods to climate variability and change: A study of Western Ghat region, Ratnagiri, Maharashtra, India. Indian Journal of Animal Research 52 (9): 1378–1382. DOI: 10.18805/ijar.v0iOF.9123
Sere C, Zijpp A V, Persley G and Rege E. 2008. Dynamics of livestock production systems: Drivers of change and prospects of animal genetic resources. Animal Genetic Resources Information 42: 3–27. https://doi.org/10.1017/S1014233900002510
Singh N P, Anand B, Srivastava S K, Kumar N R, Sharma S, Bal S K, Rao K V and Prabhakar M. 2022. Risk perception and adaptation to climate change: Evidence from arid region, India. Natural Hazards 112: 1015–1037. https://doi.org/10.1007/s11069-022-05216-y
Sirohi R and Michaelowa A. 2007. Sufferer and cause: Indian livestock and climate change. Climatic Change 85: 285–298. https://doi.org/10.1007/s10584-007-9241-8
Upadhyay R C, Ashutosh and Singh S V. 2009. Impact of climate change on reproductive functions of cattle and buffalo. (In) Global Climate Change and Indian Agriculture, pp. 107–110. Aggarwal P K (Ed). ICAR, New Delhi.
Weber E U. 2010. What shapes perceptions of climate change? Wiley Interdisciplinary Reviews: Climate Change 1 (3): 332–342. https://doi.org/10.1002/wcc.41
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