A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Torane, S. R.
- Cost Return and Profitability of Okra in Thane District of Maharashtra
Authors
1 Department of Agricultural Economics, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
Source
The Asian Journal of Horticulture, Vol 11, No 1 (2016), Pagination: 14-18Abstract
The study was undertaken to know cost returns and profitability for the farmer who want to diversify from traditional crops grown in the area. The per hectare input use in okra cultivation was 304.58 man days human labour, 10.34 kg. seed, 3.68 tonn manures, 1654.48 kg. fertilizers and 26.08 lit. plant protection Okra found to be highly labour intensive crop and provided proportionately higher employment of 304 days to family members i.e. for male and female members. Per hectare overall total cost of cultivation of okra i.e. cost C was Rs. 199264 in which contribution of cost A and cost B were Rs. 78681 (39.49%) and Rs. 163095 (81.84%), respectively. It was observed from the table that, the per hectare total cost of cultivation at overall level was Rs. 199264 and per quintal cost was 1070 resulting in to a yield of okra to the tune of 186.22 quintals. Per hectare profitability of okra cultivation was worked out by deducting different cost viz., Cost 'A', Cost 'B' and Cost 'C' from the per hectare gross returns. The overall profit at Cost A, Cost B and Cost C was Rs. 409956, Rs. 333149 and Rs. 296977, respectively. The per quintal cost (Cost 'C') of okra cultivation was Rs. 1011, Rs. 1067 and Rs. 1131, respectively, with an overall average being Rs. 1070.Keywords
Input Use, Cost, Returns, Profitability.
References
- Anonymous (2011). Socio-economic survey of Thane district.
- Balappa, S.R. and Hugar, L.B. (2002). Economics of production and marketing of tomato in Karnataka. Indian J. Agric. Mktg., 16(2): 18-25.
- BrijBala, Sharma, N. and Sharma, R.K. (2011). Cost and return structure for promising enterprises of off-season vegetable in Himachal Pradesh. Agric. Econ. Res. Rev., 24 : 141-148.
- Ganesh Kumar, B., Pramanik, S.C. and Nawaz, Shakila (2004). Economics of production and marketing of vegetable in Andaman and Nicobar Islands. Indian J. Agric. Mktg., 18(2): 16-22.
- Koshta, A.K. and Chandrakar, M.R. (1999). Economics of production and marketing of vegetable crops in Durg district of Chattisgarh region. Agric. Mktg., 40(2): 28-35.
- Nawadkar, D.S., Sale, D.L. and Patil, U.D. (2005). Marketing of vegetables grown around, Pune city. Agric. Mktg., 47 (3): 259-265.
- Radha, Y. and Prasad, E. (2001). Economics of production and marketing of vegetables in Karimnagar district of Andhra Pradesh. Indian J. Agric. Mktg., 15(1): 55-61.
- Shivgunde, M.M. (2011). Economics of production and marketing of okra in Parbhani district. M.Sc. (Ag.). Thesis, Marathwada Krishi Vidyapeeth, Parbhani, M.S. (INDIA).
- Singh, R.P. and Toppe, Anupama (2010). Economics of production and marketing of tomato in Kanke block of Ranchi District. Indian J. Agric. Mktg., 24(2): 1-16.
- Technologies Adoption, Resource Use and Technical Efficiency in Alphonso Mango Production
Authors
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
Source
The Asian Journal of Horticulture, Vol 10, No 1 (2015), Pagination: 64-70Abstract
The average adoption index of low, medium and high adopters group was 45.14 per cent, 64.73 per cent and 90.22 per cent, respectively. Whereas, at overall level it was 66.69 per cent. Among the different technologies, the adoption index was higher in application of nitrogen (98.42), organic manure (95.64) and use of Nutan mango harvester (88.33) whereas, it was low in use of Amar loranthus cutter (14.17) and measures for control of spongy tissue (17.50). The co-efficient of multiple determinations (R2) indicated 96.20 per cent variation in mango production, explained by the independent variables included in the function. The ratio of MVP/MFC was more than unity in case of phosphorus, manures indicating the scope of expanding the use of these inputs. The expenditure on other variables i.e., human labour, nitrogen, potassium, insecticides and cultar need to be curtailed. Technical efficiency at overall level was 58.58 per cent. Among the groups such as low, medium and high adopters it was 59.29 per cent, 57.49 per cent and 62.80 per cent, respectively. Farmers having small land holding (< 2.0 ha) area had technical efficiency 54.11 per cent. Large farmers, who hold area more than 4.0 ha, had technical efficiency 59.38 per cent and the medium farmers it was 56.56 per cent. The farm size and technical efficiency had exhibited positive relationship in mango production.
Keywords
Technology Adoption Index, Resource Use Efficiency, Allocative Efficiency, Technical Efficiency.- Resource use Efficiencies of Okra in Thane District of Maharashtra
Authors
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
Source
The Asian Journal of Horticulture, Vol 10, No 1 (2015), Pagination: 153-157Abstract
The functional relationship between inputs factors in production of okra namely independent variables like seed (X1), fertilizers (X2), plant protection (X3), human labour (X4) and dependent variable as okra production (yield) was estimated by Cobb-Douglas type production function. The co-efficient of determination (R2) was 0.824 indicating that 82 per cent of the variation in the yield is explained by independent factor such as seed (X1), fertilizers (X2), plant protection (X3) and human labour (X4). R2 was found to bestatistically significant.The functional analysis indicated that seed, fertilizer plant protection and human labour were used excessively. They need proper monitoring to increase allocative efficiency.
Keywords
Inputs, Production, Production Function, Resource Use Efficiency.- Impact of Technologies Adoption in Profitability in Alphonso Mango Production
Authors
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
Source
The Asian Journal of Horticulture, Vol 10, No 1 (2015), Pagination: 161-166Abstract
The average adoption index of low, medium and high adopters group was 45.14 per cent, 64.73 per cent and 90.22 per cent, respectively. Whereas, at overall level it was 66.69 per cent. The proportion of bearing trees with the mango growers in medium adopters group was comparatively more (75.73%) than in low (68.77%) and high adopters group (74.63%). At overall level, it was 75.18 per cent. The per hectare annual maintenance cost (cost C) of mango orchard in low, medium and high adoption group was Rs. 74214, Rs. 108004 and Rs. 118493, respectively with an overall average of Rs. 105809 with benefit cost ratio 1:1.11, 1:1.29, 1:1.42 with overall average of 1:1.30. The incremental benefits due to technology adoption were negative in medium adoption group and positive in high adoption group having incremental benefit cost ratio 0.92 and 1.13, respectively. This clearly indicated that technology adoption in mango cultivation has positive relationship in increasing profitability.