Browsing by Author "Mukesh Kumar Maurya"

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Assessing the impact of national food security act (NFSA) at household level in Varanasi District of Uttar Pradesh, India
(EM International, 2017) Mukesh Kumar Maurya; P.S. Badal; V. Kamalvanshi; Pradeep Joliya
The purpose of this study was to assess the status of household food security of poor households belonging to the Below Poverty Line (BPL) and Antyodaya Anna Yojana (AAY) in Varanasi district of Uttar Pradesh. The data were collected from 300 individuals from 50 households located in 2 villages through simple random sampling. The Aggregate Household Food Security Index (AHFSI) developed by FAO was used to evaluate the household food security situation. The value of the AHFSI ranges from "zero" (i.e. total famine) to "100" (i.e. risk free food security). Between 75 and 85 is categorized as sufficient level of food security. The results revealed that the value of AHFSI was 79.04, which is between 75 to 85 cateogoryand shows that there is sufficient level of food security in our target area. Copyright © EM International.
Optimization of resources use on irrigated and rain-fed farms of eastern Uttar Pradesh: Sen’s multi-objective programming (MOP) method
(DAV College, 2019) Mukesh Kumar Maurya; V. Kamalvanshi; S. Kushwaha; C. Sen
This paper investigates the utilization of available resources on irrigated rain-fed farms of Eastern Uttar Pradesh. Varanasi and Sonbhadra districts were purposively selected because these districts are having differences with respect to irrigated and rain-fed farming systems, respectively. The required data were collected from 200 randomly selected farmers for the year 2016-17. The alternative resource use plans have been formulated for increasing income and employment and decreasing fertilizer use on both irrigated and rain-fed farms. All the three plans have generated conflicting results in achieving the desired income, employment and fertilizer use. Hence, the Sen’s Multi-Objective Programming has been used to achieve all the objectives simultaneously. The optimized plan has increased income by 11.83 percent, employment by 7.43 with decreased fertilizer use by 11.83 over existing farming plan on irrigated farms. On the rain-fed farms, the income and employment increased by 8.90 percent and 7.29 percent respectively with reduced fertilizer use by 8.59 percent over existing farm plan. © 2019 DAV College. All rights reserved.