Resource use efficiency and constraint analysis for paddy production in North Konkan region of Maharashtra (India)
A.D. Chakranarayan
, S. R Torane , P.J. Kshirsagar , T. N. Thorat , A.P. Dangore, M.S. Sawant
Rice, Resource use efficiency and constraints
The Present study is an attempt to examine resource use efficiency and constraint analysis for paddy production in North Konkan region of Maharashtra (India). The primary data was collected from 180 sample farmers during the year 2022-23. Farmer were divided into low, medium and high as per level of adoption. Cobb- Douglas production function was used to obtain input use efficiencies of paddy crop. The gross expenditure on Nitrogen (0.86**), Potassium (0.07**) contributed positively towards gross income for paddy. Whereas phosphorous (-0.10) and labour (-0.35) indicated negative relation to yield. The Cobb- Douglas production function estimates indicated that the ratio of MVP/MFC in case of labour, Nitrogen, Potassium, Potash indicated under utilization of input. The sum of elasticity was 0.41, which implies that there is decreasing return to scale. Farmers in the study area faced constraints such as a less amount of capital and unavailability of good quality seed. Suggestions received from paddy growers included developing innovative, low-cost equipment to reduce labour expenses and encourage research in rice cultivation.
"Resource use efficiency and constraint analysis for paddy production in North Konkan region of Maharashtra (India)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 2, page no.1 - 5, February-2024, Available :https://ijsdr.org/papers/IJSDR2402001.pdf
Volume 9
Issue 2,
February-2024
Pages : 1 - 5
Paper Reg. ID: IJSDR_209992
Published Paper Id: IJSDR2402001
Downloads: 000347455
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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