Your search found 2 records
1 Nayak, P. K. 2001. United they work – Modern modes of water harvesting can neither substitute traditional systems nor do they suit the unique land-water situation that exists in Kendrapada district of Orissa. In Agarwal, A.; Narain, S.; Khurana, I. (Eds.), Making water everybody’s business: Practice and policy of water harvesting. New Delhi, India: Centre for Science and Environment. pp.46-49.
Water harvesting ; Irrigated farming ; Water lifting ; Domestic water ; Irrigation systems ; Water pollution ; Conflict / India / Orissa / Kendrapada
(Location: IWMI-HQ Call no: 333.91 G635 AGA Record No: H030602)
2 Bahinipati, C. S. 2015. Determinants of farm-level adaptation diversity to cyclone and flood: insights from a farm household-level survey in Eastern India. Water Policy, 17(4):742-761. [doi: https://doi.org/10.2166/wp.2014.121]
Climate change adaptation ; Farmer participation ; Disaster risk management ; Cyclones ; Flooding ; Crop losses ; Farm income ; Households ; Socioeconomic environment ; Models ; Institutions ; Coastal area ; Surveys / Eastern India / Odisha / Balasore / Kendrapada / Jajpur
(Location: IWMI HQ Call no: e-copy only Record No: H047668)
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A large number of farmers’ livelihoods are susceptible to cyclones and floods, and farmers are taking up several adaptation mechanisms. Previous studies, therefore, have examined determinants of various adaptation options and provide policy suggestions to promote a specific one. However, options are undertaken at different points depending on the nature and intensity of extreme events. Hence, it is imperative to identify factors influencing farmers’ decisions to adopt an additional option, particularly during ex-ante and ex-post periods. This could assist policymakers to enhance various farm-level adaptation options. Using survey data from 285 farm households in cyclone-and flood-prone regions in eastern India, this study aims to assess the determinants of adaptation diversity. This study finds that the likelihood of undertaking adaptation diversity is high during the ex-post period, and cyclone-affected farmers are likely to adopt a higher number of adaptation measures. Further, size of household, farming experience, per capita income, agriculture as major source of income and crop loss compensation received are some of the important determinants. These findings emphasize the need for investments in scientific modeling for better prediction of extreme events and suggest restructuring the existing institutions to promote several farm-level adaptation measures.
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