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<h1 align="center" class="title style5"><span class="style1">Volume 7 Issue 1</span></h1>
<h1 align="center" class="style22">Role of food intake in supporting sustainable livelihood<br />
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<p><span class="style21">Author(s):</span> <span class="style2">M. M. ADHIKARY, B. BISWAS ANDS. K. ACHARYA</span><br />
<span class="style21">Abstract:</span> <span class="style3">The sustainable livelihoods idea was first introduced by the Brundt land Commission on Environment and Development as a way of linking socioeconomic and ecological considerations in a cohesive, policy-relevant structure. Household level food security - its importance as Sainath (2007) puts it: "Seldom has policy been so forcefully implemented as in the 1990s. For ten years, governments have assaulted the livelihoods and food security of the poor. That security does not lie in mountains of grain but in millions of jobs and workdays for people." Thus, to assess the level of sustainability of livelihood of the respondent farmers and to assess the interrelationship between food intake and the set of predictor variables of sustainable livelihood the present study was undertaken. The work was conducted with the following variables-age-X1, education-X2, family size-X3, family statement with adult person-X4, functional education strata (FES)-X5, cropping intensity-X6, irrigation status-X-7, animal/bird number-X8, holding size-X9, income (Rs) per cottah-X10, spacing(%)-X11, fertilizer(%)-X12, irrigation(%)-X13, pesticide(%)-X14, yield(%)-X15, food intake value. (g-1 day-1 head-1)-Y. Purposive as well as simple random techniques was adopted for the study. For selection of district, block, village purposive sampling technique was employed. Respondents were randomly selected. The study reveals that the access to availability of food depends on yield performance, cropping intensity, holding size owned by the farmer. Higher holding size means higher economic security and better purchasing capability. Spacing helps a critical intercultural operation through engagement of optimum labour utilization and these two casual variables have explained 51% variable of the consequent variable.</span></p>
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<p><span class="style22">Download Full Article </span><span class="style21">: </span><strong><a href="pdf/10.pdf" target="_blank">Click Here</a></strong></p>
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