National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
In this study a non–parametric method of data envelopment analysis (DEA) was applied to analyze the cost efficiency of mango orchardist, in order to optimize the input costs for mango production in Mall-Malihabad Mango belt of Lucknow district (Uttar Pradesh). Data were collected using face-to-face questionnaire from 50 orchards in ten villages of this belt. The DEA CCR and BCC models were used based on seven input costs including human labour, machinery rent, FYM, water for irrigation, pesticide, diesel and electricity and single output of mango yield. The technical, pure technical and scale efficiencies of farmers were calculated as 0.662, 0.965 and 0.684 respectively. Total optimum cost requirement was found to be about Rs 26017.28 INR ha-1, showing that 10.2% of input costs could be saved if the orchardists follow the results recommended by this study. Moreover the contribution of chemical (Pesticide) input from total cost saving was 62.46% which was the highest share followed by FYM and machinery input costs. Optimization of input costs use improved the benefit/cost ratio, net return and productivity by 32.12%, 28.24% and 29.72% respectively.
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