ASSOCIATION OF PROFILE OF THE MGNREGS BENEFICIARIES WITH THE DIRECT CHANGES IN SRIKAKULAM DISTRICT OF ANDHRA PRADESH

K. ARCHANA¹*, P. RAMBABU^2
1Department of Agricultural Extension, Agricultural College, Bapatla, 522 101, Acharya N.G. Ranga Agricultural University, Lam, Guntur, 522 034, India
²Department of Agricultural Extension, Agricultural College, Bapatla, 522 101, Acharya N.G. Ranga Agricultural University, Lam, Guntur, 522 034, India
* Corresponding Author : archanakaviti8@gmail.com

Received : 30-12-2019     Accepted : 13-01-2020     Published : 15-01-2020
Volume : 12     Issue : 1       Pages : 9375 - 9377
Int J Agr Sci 12.1 (2020):9375-9377

Keywords : Direct changes, MGNREGS, Profile, MLR, Correlation
Academic Editor : Rajpal Diwakar
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agricultural Extension, Agricultural College, Bapatla, 522 101, Acharya N.G. Ranga Agricultural University, Lam, Guntur, 522 034, India
Author Contribution : All authors equally contributed

A study was conducted on 120 MGNREGS beneficiaries in Srikakulam district of Andhra Pradesh, to study the association of profile of the beneficiaries with their direct changes observed due to the implementation of MGNREGS. Thirteen independent variables were selected as profile of the beneficiaries. The results revealed from the study were; out of thirteen independent variables, education, size of the family, experience& number of years benefitted, socio-politico participation, risk orientation, economic motivation and achievement motivation showed significant relation with direct changes. Other variables like age, gender, annual income, possession of assets, sources of information and level of aspiration showed non- significant relationship with direct changes. The Multiple Linear Regression (MLR) of all the thirteen selected variables put together explained 88.34 percent of variance in the direct changes experienced by MGNREGS beneficiaries, remaining 11.66 percent due to the extraneous factors.

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