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Impact of MGNREGA on Living Standard of Agriultural Labourers in Tripura:An Empirical Study on Unakoti District
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The empirical study has been conducted to measure the impact of MGNREGS over the standard of living of agricultural labourers. The study also tried to analyse the effect of the scheme over the expenditure on food and education for children’s. The comparative study stands on stratified multistage random sampling with total 218 agricultural labourers (sample size) and above this 109 agricultural labourers were selected from beneficiary (MGNREGS) households and rests of the samples were from non-beneficiary counterparts. To deal with these objectives, a standard of living index (SLI) has been constructed by applying principal component analysis method and statistical tools t-test also has been done. According to constructed standard of living index, the living standard of beneficiary agricultural labourers was found far better than their counterparts. Moreover, the differences over the expenditure on food and children’s education between two comparative groups were also found significant.
Keywords
MGNREGS, Agricultural Labourers, Standard of Living Index, Principal Component Analysis.
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- Bhowmik, I., & Bose, P. (2015). Efficiency and impact of MGNREGS in Tripura. Social Change and Development, 12(1), 1-19.
- Chandrasekhar, C. P., & Ghosh, J. (2011, January 11). Public works and wages in rural India. The Hindu Business Line.
- Channaveera, H. L. (2011). Impact of MGNREGA on input-use pattern, labour productivity and returns of selected crops in Gulbarga District, Karnataka. Agricultural Economics Research Review, 24, 523.
- Das, P. (2012). MGNREGA and Rural-Urban Migration in India. ABHINAV, 2(2), 46.
- Dunteman, G. (1989). Principal components analysis. Sage.
- Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24(6), 417-441.
- Khongji, P. (2017). Ranking of districts in North East states of India by the use of Standard of Living Index using 2001 and 2011 census. Journal of North East Studies, 7(1), 47-58.
- Maheshwari, M. S., & Gangwar, L. (2011). Impact of rural development scheme on availability of agricultural labour - A study of dairy farmers in Thanjavur District of Tamil Nadu. Agricultural Economics Research Review, 24, 411-413.
- Mishra, P., & Mishra, S. K. (2015). New Guidelines for MGNREGA: Issues and Implications. In S. S. Sangwan & G. Deep (Eds.), Panchayat’s role in MGNREGA and financial inclusion (p. 29). Chandigarh: Centre for Research in Rural and Industrial Development.
- MoRD. (2009). Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA). New Delhi: Ministry of Rural Development.
- Shah, M. (2009, April 30). Multiplier accelerator synergy in NREGA. The Hindu.
- Thadathil, M. S., & Mohandas, V. (2012, January-June). Impact of MGNREGS on Labour Supply to Agricultural Sector of Wayanad District in Kerala. Agricultural Economics Research Review, 25(1), 153.
- Vyas, S., & Kumarnayake, L. (2006). Constructing socio-economic status indices: How to use principal components analysis. Health Policy Plan, 21(6), 459-468.
- Xhafaj, E. (2015). The principal components analysis and cluster analysis as tools for the estimation of poverty, an Albanian case study. International Journal of Science and Research, 4(1), 1240-1243.
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