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Padma Rani, S.
- Impact of Credit on Investment in Tissue Culture Banana Cultivating Farms
Abstract Views :266 |
PDF Views:0
Authors
S. Padma Rani
1,
K. Mani
2
Affiliations
1 Department of Agronomy, Tamil Nadu Agricultural University, AICRP-IFS, COIMBATORE (T.N.), IN
2 Department of Intellectual Property Rights, Tamil Nadu Agricultural University, COIMBATORE (T.N.), IN
1 Department of Agronomy, Tamil Nadu Agricultural University, AICRP-IFS, COIMBATORE (T.N.), IN
2 Department of Intellectual Property Rights, Tamil Nadu Agricultural University, COIMBATORE (T.N.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 7, No 1 (2016), Pagination: 7-14Abstract
Agriculture Credit became increasingly important especially when the cultivators adopt modern technology, huge farm investments which required more finance than the traditional method of farming. There should be a balance between investment credit along with production credit for agricultural growth. Less availability of production or investment credit adversely influences the adoption of new modern technology and agricultural investments, which in turn lowers the productivity and production, and also pushes the farmers to borrow from non-institutional sources. The study is based on primary data collected from a sample of farm households comprised of two different groups, namely (i) borrower, (ii) non-borrower. The borrowers where again classified into two groups, (i) Conventional variety of banana (Nendran, Kadali, and Poovan) growers, (ii) Tissue culture banana (G9) growers comprising of Short Term and Long Term loan borrowers. Under each of above categories, forty five sample farm households with a total of 180 samples respondents were surveyed. The impact of credit on farm investment was assessed by comparing the category of long term borrowers growing tissue culture growing farms with that of non-borrower cum non adopter farms. Logit model was used for analyzing the effects of long term credit on farm investment. Results of the Logit regression model revealed that the net operated area, long term loan amount, education level, family size, and previous investment by farmer are significantly influencing on investment behaviour of banana growing farmers. Positive co-efficient for farm size indicated the farmer's ability to access the investment loans for making farm investment by pledging land as the security. The term loan amount, net operated area and previous investment had shown positive effect on investment.Keywords
Short Term Credit, Term Loan, Investment, Logit Model, Marginal Effect.
References
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- A Study on Agricultural Credit in Adoption of Technology in Banana Cultivating Farms in Tamil Nadu
Abstract Views :481 |
PDF Views:1
Authors
Affiliations
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 10, No 2 (2019), Pagination: 194-200Abstract
Agriculture as a primary sector continues to play a dominant role in increasing the growth and development of Indian economy and it is important to revitalize the agricultural sector, for which agricultural investment flow is necessitated in the agriculture sector. In order to increase the investment flow to agriculture sector, institutional credit has contributed greatly right from the ‘Green Revolution Period’. Agricultural credit helps farmers to go for short-term credit for purchase of high cost inputs and other services and for making investment on capital assets with the support of long term credit facility. Further, for adoption of new technological inputs and enhancing farm productivity farm finance becomes inevitable. Probit model was used to find out the impact of credit on technology adoption. The probit analysis was done between short term borrowers, growing tissue culture (technology adopter) and conventional varieties of growing banana (technology non adopter). Independent variables included in the model were: age, education, experience, amount of credit borrowed, family size, number of extension contacts, farm size ,total farm income and distance to formal and informal financial institution probit model was used for evaluating the factors determining adoption of tissue culture banana- a new technology in banana cultivation among sample respondents. The co-efficient of credit amount borrowed was 0.05 which implied that increase in credit amount by one unit would increase 5 per cent in the probability of adoption of tissue culture technology. The marginal effect of credit amount borrowed was 0.36 which showed that an unit increase in the amount borrowed would result in 36 per cent increase in technology adoption. And also the study found out that Increase in farm income and extension agency contact have positive effect on technology adoption.Keywords
Agricultural Credit, Technology Adoption, Marginal Effect.References
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- Devaraja, T.S. (2011). An analysis of institutional financing and agricultural credit policy in India, Working paper supported by a grant from the University Grants Commission of India
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- Maheswari, R., Ashok, K.R. and Prahadeeswaran, M. (2008). Precision farming technology, adoption decisions and productivity of vegetables in resource-poor environments, Agric. Econ. Res. Rev., 21 : 415-424.
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