Abstract
Rural labours are migrating to the urban areas searching for jobs, because of they don’t get jobs in agricultural lean season and Most of the unorganised sector workers are deprived of basic social security measures, like, health, income, employment etc. In this context, the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGA) as a fall-back employment source is designed to make significant difference to livelihood security in rural areas especially rural poor. The study mainly focused on four questions like, does MGNREGS has properly used fund by seasonal wise; to know the seasonal wise household demanded and provided for employment; to know the share of employment generation among social groups and dose MGNREGS has created more persondays in drought affected years in Karnataka. In this context the present study an attempt to the Seasonal Variation of Employment Generation and Utilization of Fund under MGNREGS in Karnataka. The study found that Whereas coefficient of variation is less in summer season it is evidently on an average 83 percent of workers are benefited from employment during the summer and Rabi season. As compared to the all financial years, on an average of women generated Persondays was highest 44.50 percent in summer season followed by 43.64 percent in Rabi, but in Kharif season was least 11.85 percent. Similar in all year’s during summer and Rabi season have highest proportion of hundred days work done, but least proportion in Kharif season. The study mainly efforts on rainy season it means south west monsoon period the proportion of average rainfall was highest (486mm in July 2013), but it is continuously declined to 244mm in July 2017. But not much rainfall in other remaining months. The study suggests that the MGNREGS programme works should be season wise planning and timely work distribution for who have demanded for work and also to concentrate on more agriculture related works and awareness in gross root level. KEYWORDS: MGNREGS, Seasonal wise Employment Generation, Fund Utilization, Average Rainfall and Drought.
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