Dr. ShilpaADITI SHARMA2024-03-272024-03-272023-12-23https://krishikosh.egranth.ac.in/handle/1/5810207770Present study analyzed the “Economic impact of Climate Change on the livelihood status of dairy farm households in Hamirpur district of Himachal Pradesh” during the year 2022-23. Multistage random sampling technique was used for the selection of the respondents from the randomly selected four blocks named Bijhari, Nadaun, Hamirpur and Sujanpur out of 6 blocks. Then 3 panchayats from each selected block were selected randomly and 10 dairy farming households from each selected panchayat were selected randomly to constitute a sample size of 120 for the collection of the primary data. All dairy producers were divided into three categories for the purpose of data analysis: small category (1- 3 SAUs), medium category (4-6 SAUs), and large category (>6 SAUs). Farmers are reported to have an average size of 5.23 members with a literacy rate of 90.33 per cent and literacy index of 2.75 in accordance with socioeconomic data. The dependency ratios for family were 0.25. Total land holding was 1.10 hectares out of which 83.91 per cent was cultivated land covering the maximum portion. In the study area, a crop intensity of 172.03 per cent was found. The average number of cattle units was 4.74, of which 5.72, 12.09, 50.29, 26.28, and 5.21 percent were local cows, crossbred cows, buffalo, young stock, and heifers, respectively. The impact of climatic change on dairy farm households is calculated using secondary data acquired through the Indian Meteorological Department, Shimla for the 50 years 1981–2021. The Ricardian results demonstrated that the climate change has consequences on dairy farm households in the Hamirpur district and that there is analysis shows a nonlinear relationship among climate change and net revenue. Results shows that with the increase in maximum temperature net revenue was decreased while increase in minimum temperature and annual rainfall net revenue was increased. The marginal effects of climate variations on the net revenue of dairy households are assessed and showed that the net revenue was dropped by Rs. 39.15 and rise by Rs. 4.44 per day for every 1°C increase in minimum temperature and 1°C reduction in maximum temperature, respectively while the marginal revenue from annual rainfall was Rs. 0.20 which was very negligible. The Binary Logistic Regression model was used to examine farmer’s choices about the deployment of adaptation measures for climate risk. The findings suggested that a farmer's decision to adapt to climate change was influenced by socioeconomic factors such as farm income and farming experience. The most serious problem in the study area was lack of improved fodder crops (63.78%) and least problem was lack of dairy cooperatives (33.06%).In order to adapt with climate change suitable adaptation practices should be followed like improving feed practices and use of well acclimatised breeds and following the crop livestock diversification methodEnglishThesis