Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2019) [Effective from January 1, 2019]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(12): 2468-2475
DOI: https://doi.org/10.20546/ijcmas.2018.712.280


Improving Cost Efficiency of Mango Orchards through Application of Data Envelopment Analysis (DEA)
Anil Kumar Verma1, A.K.A. Lawrence2, Ashok Tripathi3 and Surendra Pal4
Department of Farm Machinery and Power Engineering, Vaugh Institute of Agricultural Engineering and Technology, Sam Higginbottom University of Agriculture, Technology & Sciences (formerly Allahabad Agriculture Institute), Allahabad (U.P), India
*Corresponding author
Abstract:

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.


Keywords: Data envelopment analysis, Optimization, Cost saving, Technical efficiency; Mango
Download this article as Download

How to cite this article:

Anil Kumar Verma, A.K.A. Lawrence, Ashok Tripathi and Surendra Pal. 2018. Improving Cost Efficiency of Mango Orchards through Application of Data Envelopment Analysis (DEA).Int.J.Curr.Microbiol.App.Sci. 7(12): 2468-2475. doi: https://doi.org/10.20546/ijcmas.2018.712.280