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Talathi, J. M.
- Cost, Returns and Profitability under Coconut Based Different Irrigation Methods
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Affiliations
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri M.S., IN
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri M.S., IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 4, No 2 (2013), Pagination: 143-147Abstract
The coconut grower incurred Rs. 106014, Rs. 151754 and Rs. 153071 per hectare on cost of cultivation in FM, MSM and DM irrigation structures. Realized the per hectare total returns worked out to Rs. 121136, of which 71.84 per cent from coconut (Rs. 87020) and 28.16 per cent (Rs.34116) from other intercrops. In sprinkler and drip irrigation methods total returns worked out to Rs.179600 and Rs.202400, respectively. In sprinkler irrigation method share of coconut was found to be 70.55 per cent (Rs.126700) and that of other intercrops came to 29.45 per cent (Rs.52900). In drip irrigation method, per cent share of coconut and other intercrops worked out to the extent of 71.94 per cent (Rs.145600) and 28.06 per cent (Rs.56800). Coconut equivalent yield per palm per year was found to be 107.95 nuts, 159.21 nuts and 199.79 nuts in FM Group, MSM Group and DM Group, respectively. The coconut equivalent yield in FM Group, MSM Group and DM Group was 14142, 22450 and 24175 nuts, respectively. The input output ratio estimated in different irrigation methods was 1:1.1 in FM, 1:1.2 in MSM and 1:1.3 in DM correspondingly per nut cost of coconut was Rs. 7.00, Rs. 6.75 and Rs. 6.05 in the same order.Analysis and return structure indicated that in terms of absolute value and also coconut equivalent yield modern method of irrigation (MSM and DM) gives higher return over traditional method (FM). These returns are higher to the extent of 50 per cent in MSM and about 71 per cent in DM group. This showed the superiority of modern method over traditional method in terms of returns.Keywords
Cost, Returns, Profitability, Yield
- A Study on Credit Utilization Pattern of Women Self-Help Groups in South Konkan Region
Abstract Views :352 |
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Authors
Affiliations
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 7, No 2 (2016), Pagination: 127-133Abstract
The present study was carried out in South Konkan Region purposively. From Ratangiri district Dapoli, Khed and Guhaghar while from Sindhudurg district Kudal, Devgad and Kankavali tahsils were selected. From each tahsil, ten SHGs and five members of each SHG were selected randomly. Thus, final sample consisted of 60 SHGs, 300 SHG members. The selected SHGs were categorized taking into consideration group activities performed by SHG. The SHGs were classified as farming activities, agro-processing activities and non-farming activities. Loan taken from different sources i.e. banks, co-operative societies and relatives. Loan amount taken from bank was Rs.139250. Loan amount taken by agro-processing category was highest (Rs.153250), followed by non-farming (Rs.136896.55) and farming (120000) category. There was increase in the credit availed by the SHGs over a period of time. At overall level amount repaid to bank by SHGs was Rs.46613. As regards to category wise repayment of loan by farming, agro-processing and non-farming was Rs. 39916.36, Rs.59770 and Rs. 40079.31, respectively. The SHG members utilized loan for productive purposes borrowed from bank (59.23%) and SHGs (50.64%) followed by non-productive purposes borrowed from co-operative societies (92.06%) and relatives (70.86%).Keywords
Credit, Sources of Loan, Repayment.References
- Antwal, P.N.,Bellurkar, C.M. and Rathod, S.M. (2015). Dynamics and performance of women self help groups from Hingoli district. Internat. J. Appl. Soc. Sci., 2 (3&4) : 69-77.
- Feroze, S.M., Chauhan, A. K., Malhotra, R. and Kadian, K.S. (2011). Factors influencing group repayment performance in Haryana: Application of Tobit Model. Agric. Econ. Rev., 24 : 57-65.
- Ganesamurthy, V.S., Krishnan, M.K. Radha, Bhuvaneswari, S. and Ganesan, A. (2004). A study on Thrift and credit utilization pattern of self-help group (SHG) in Lakshmi Vilas Bank Suriyampalayam Branch, Erode. Indian J. Mktg., 34 (1) :12-14.
- Manjunath, M.(2008). Microcredit in fisheries sector. Financ. Agric., 40 (2): 10-14.
- Mohite, D.P. (2003). Performance of self-help groups in Ratnagiri district- An economic analysis. M.Sc. (Ag.) Thesis, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri, M.S. (INDIA).
- Nalini,M.S.,Patil, Suresh S., Lokesha, H.,Deshmanya, Jagrarthi B. and Maraddi, G. N. (2013). Impact of self-selp groups on rural economy in North East Karnataka. Karanataka J. Agric. Sci., 26 (2):220-223.
- Puhazhendhi, V. and Satyasai, K.I.S. (2000). Microfinance for rural people - An impact evalution. NABARD Publication, Mumbai (M.S.) INDIA.
- Sale, Y.C., Pagire, B.V. and Shinde, H.R. (2001). Mahila bachat gat: An exemplary story of Ahamednagar district. Indian J. Agric. Econ., 56 (3): 476-477.
- Singh, Nayantara (2015). Microcredit in the context of women empowerment : A Brief Review. Internat. J. Appl. Soc. Sci., 2 (9&10;) : 308-312.
- Tilekar, S.N., Naikade, N.J.,Deshmukh, B.J. and Patil, A.A. (2001). Women self-help groups affiliated to ‘Chaitanya’: A case study in Pune district. Indian J. Agric. Econ., 56 (3): 458.
- Application of Cluster Analysis for Spatial Classification
Abstract Views :178 |
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Authors
Affiliations
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
2 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
1 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
2 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 8, No 1 (2017), Pagination: 194-195Abstract
The present study was undertaken in South Konkan region of Maharashtra state. Cluster analysis is a multivariate statistical procedure that starts with data set containing information about a sample of entities into attempts to reorganize these entities into relatively homogeneous groups or groups of highly similar entities, called as "clusters". The variables were based on the set of 23 agroclimatic characteristics. The analysis has classified in to all 17 Tahsils of South Konkan region into two distinct clusters. It was concluded from the study that cluster analysis technique is useful in spatial classification, which can be further used for making development policy in general agriculture in particular for deciding the region specific cropping as well fanning systems.Keywords
South Konkan, Cluster Analysis, Fanning Systems.References
- Alender, Mark S. and Blashfield Roger, K. (1984). Cluster analysis, Quantitative Application in the Soc. Sci., Sage University paper No. 44.
- Torane, S.R., Naik, B.K., Talathi, J.M and Kshirsagar, P.J. (2011). Application of cluster analysis for spatial classification. Internat.Res. J. agric. Eco.& Stat., 2 (1): 11-14.
- Marketing Efficiency of Mango in South Konkan Region
Abstract Views :191 |
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Authors
Affiliations
1 Department of Agricultural Economics, College of Agriculture, Dapoli (M.S.), IN
2 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli (M.S.), IN
1 Department of Agricultural Economics, College of Agriculture, Dapoli (M.S.), IN
2 Department of Agricultural Economics, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli (M.S.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 10, No 1 (2019), Pagination: 51-58Abstract
An attempt has been made to study the price spread, marketing efficiency and constraints in marketing of mango in South Konkan region of Maharashtra. Primary data were collected from various stakeholders constituting 100 farmers and 50 intermediaries in various channels. Five marketing channels of Alphonso were identified in study area. Intermediaries like retailer, wholesaler, wholesalercum commission agent and village merchant took more profit margins in channel I, II, III, and IV compared to channel V. The marketing efficiency was higher in channel V (11.00) and poor marketing efficiency was found in the channel I and II. From the result it showed that the movement of mango from farmers to consumer at lowest cost consistent in channel V which benefit both farmers and consumer. The major constraints faced by farmers in marketing of mango were high fluctuation in market price (91.00%), poor roads and unavailability of transport facility in time (83.00%), low price to mangoes (80.00%), and high transport cost (65.00%), high cost of packaging material (63.00%), late fruiting result in less price (61.00%) and dependent on intermediaries (60.00%).Keywords
Grading, Mango, Market Functionaries, Marketing Efficiency, Packing, Performance Indicators, Producer Shares, Transporting.References
- Anonymous (2013). Post-harvest profile of mango, Directorate of marketing and Inspection. Ministry of agriculture, Government of India (department of agriculture and cooperation), branch head office Nagpur (M.S.) India.
- Anonymous (2014). Indian Horticulture database, National Horticulture Board, Ministry of agriculture, Government of India.
- Chandrakar, Khushboo, Choudhary, V.K. and Koshta, A.K. (2005). Constraints in banana cultivation and supply chain management in Raipur district of Chhattisgarh. Internat. Res. J. agric. Eco. & Stat., 6 (2): 410-413.
- Kumaresh, K. and Sekar, C. (2013) Price spread, marketing efficiency and constraints in supply chain of mango in Krishnagiri district of Tamil Nadu. Agric. Update, 8 (3) : 446 - 451.
- Shelke, R.D. and Shennewad, B.A. (2013). Constraints and suggestions of papaya growers in Marathwada region of Maharashtra state, Internat. Res. J. agric. Eco. & Stat., 4 (1): 30-32.
- Shreedevi, B.C. (2014). Production and marketing constraints of vegetables in Karnataka. Karnataka J. Agic. Sci., 27 (3) : 363-364.
- Singh, Narendra and Bhimraj, K.S. (2015). Constraints in papaya production and marketing faced by the farmers in South Gujarat region. Trends in Biosciences, 8 (2): 498-499.
- Singh, S.K. (1975). Price spread and marketing margins of grapes in and around Hyderabad. Agric. Mktg., 17 (4): 6-8.
- Thorat, M.V. and Shelke, R.D. (2012). Marketing cost, market margin and price spread in Ber. Internat. Res. J. Agric. Eco. & Stat., 3 (2) : 322-325.
- Yogesh, M. S. and Hemambara, H. S. (2014). Production and marketing problems of papaya growers in North Karnataka. IOSR J. Business & Mgmt., 16(7): 20-23.