Table 3 - uploaded by Omkar Joshi
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Source publication
The Mahatma Gandhi National Rural Employment Guarantee Act
(MGNREGA) was enacted in 2005 and has completed a little over
a decade in India. It is the largest public employment programme
in the world and has promoted a wider participation from rural
households across the country. This paper examines the issue of
programme participation in MGNREGA ho...
Context in source publication
Context 1
... instead of attenuating caste effects, the geographic controls have little or no impact on the estimates of participation levels by Dalits and Adivasis. State-level controls in Table 3 actually slightly raise the estimates of Adivasi participation while slightly lowering the estimates for Dalits. The more extensive village controls reverse those changes but leave the estimates almost equal or even somewhat stronger than in the initial estimates from Table 2. ...
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Citations
... Further, education influences farmers' on-farm and employment choices (Jatav, 2024). Educated farmers were more attracted to crop insurance due to better financial understanding of crop insurance mechanisms (Senapati, 2020), whereas less-educated farmers participate more in MNREGS due to restricted employment opportunities in other sectors (Joshi et al., 2017). This study too, find that secondary and above educated farmers secure (crop insurance) their crops more but perform the unskilled works under MNREGS less than their counterparts. ...
Indian farmers jointly follow farm risk management and livelihood diversification to augment their income for better well-being. The uncertainties in climatic conditions and rural employment market pose dangers of income insecurity to already low-incomed farmers. Crop insurance is a promising production risk management technique, which, through Pradhan Mantri Fasal Bima Yojana (PMFBY), seems beneficial in improving Indian farmers’ well-being by ensuring financial support during crop loss. Similarly, Mahatma Gandhi National Rural Employment Guarantee Scheme (MNREGS) provide income security by ensuring guaranteed regular employment. This paper strives to contribute to the knowledge related to PMFBY and MNREGS. The Binary Logit Regression results suggest that marginal and small farmers are less involved in both whereas socially marginalized farmers participate more in MNREGS but less in PMFBY. The possession of education, agricultural training and crop loss experience enhance their participation in both. Further, the Propensity Score Matching (PSM) results of all the three different matching methods suggest the positive impact of PMFBY and MNREGS on household usual consumption expenditure. The study suggests to enhance crop insurance adoption by boosting education, agricultural training, and membership in farmer organization. Further, ensuring diverse livelihood opportunities to farmers for their improved well-being.