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Field Before After
Trial Status in_development completed
Last Published July 12, 2022 10:38 AM May 23, 2025 07:54 PM
Study Withdrawn No
Intervention Completion Date November 30, 2023
Data Collection Complete No
Data Collection Completion Date November 30, 2023
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Papers

Field Before After
Paper Abstract Climate-induced increase in temperature and rainfall variability severely threaten the agricultural sector and food security in the Indian state of Odisha. Climate-smart agricultural (CSA) practices, such as crop rotation and integrated soil management, help farmers adapt to climate risk and contribute to a reduction in greenhouse gas (GHG) emissions. Therefore, this paper examines the impact of CSA practices on yield and income in vulnerable semi-arid districts of Odisha—Balangir, Kendrapara, and Mayurbhanj. We use primary survey data from 494 households collected in 2019–2020, using a multi-stage stratified sampling approach and structured questionnaire. Propensity score matching (PSM) and the two-stage least square method (2SLS) have been used to analyze the impact of CSA on income and productivity. Two instrument variables, namely distance to the extension office and percentage of adopters in a village, are used to control self-selection bias and endogeneity in our model. Both models show a positive and significant impact of the adoption of CSA on farmers’ productivity and income. The study sheds light on the significant contribution of CSA practices in fostering sustainable income growth amid environmental challenges. Overall, our results suggest that small and marginal farmers of Eastern India, a highly environmentally vulnerable area, can significantly improve their income and productivity by adopting CSA technology. Hence, policymakers should scale the adoption of CSA technology through effective extension programs
Paper Citation Tanti, P.C., Jena, P.R., Timilsina, R.R. et al. Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India. Mitig Adapt Strateg Glob Change 29, 35 (2024). https://doi.org/10.1007/s11027-024-10122-8
Paper URL https://doi.org/10.1007/s11027-024-10122-8
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Field Before After
Paper Abstract Irrigation is an important adaptation strategy to cope with climate change which reduces vulnerability to water stress and improves crop productivity to feed millions. There is evidence of crop yield stagnation in many developing countries, and irrigation efficiency is claimed to increase crop productivity. Therefore, this paper uses data envelopment analysis to evaluate the farmer’s productivity through technical efficiency (TE), i.e., the relationship between resource inputs and outputs of 513 paddy farmers in Eastern India. The results show that the farms are, on average operating at 14% TE, leaving a considerable scope to improve up to 86% to reach the optimal level. A significant difference is observed between irrigated and rain-fed paddy farmers, such that10% of the irrigated farms achieved efficiency scores over 40% and only 2% of rain-fed farms achieved the same. The tobit and beta fit regression models are estimated to find out the factors that influence the TE. Both surface water and groundwater sources of irrigation are used as predictors, along with other socio-demographic factors. Access to surface water irrigation is identified to be a significant determinant of farm efficiency, however, surface water irrigation, such as canal irrigation, is accessible only to farmers living on plain land. Farmers living on highlands need to explore other sources of irrigation practices, such as drip and sprinkler, that can increase TE and farm productivity. Therefore, this paper calls for government intervention to provide extensive training and facilities for these micro-irrigation practices
Paper Citation Rajesh Kalli, Pradyot Ranjan Jena, Raja Rajendra Timilsina, Dil Bahadur Rahut, Tetsushi Sonobe, Effect of irrigation on farm efficiency in tribal villages of Eastern India, Agricultural Water Management, Volume 291, 2024, 108647,
Paper URL https://doi.org/10.1016/j.agwat.2023.108647
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