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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 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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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 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(12): 2555-2566
DOI: https://doi.org/10.20546/ijcmas.2020.912.304


Effect of Farm Investment Support on Multiple and Informal Borrowing of Farm Households: A Case Study on Rythubandhu Scheme in Telangana, India
Sravanthi Kolla* and P. Raghu Rami Reddy
Department of Agricultural Economics, Agricultural College, Palem, Nagarkarnool District, India
*Corresponding author
Abstract:

Farm household’s over indebtedness is an emerging issue in developing countries. Many studies concluded that multiple and informal borrowing are reasons for households over indebtedness. Governments have been taking many reactive and proactive policies to correct the situation. Farm investment support schemes are one such proactive policies popular across sub-Saharan Africa and emerging in India. In this context, this study was conducted to estimate the effect of farm investment support scheme on multiple and informal borrowing. One such scheme Rythubandhu implementing by Telangana state government in India is chosen for this study. Data collected from 72 farm households across the state. Quasi-poission model was used to find out the various factors affecting multiple borrowing and Logit regression model was fitted to determine the factors effecting informal borrowing. Results indicated that investment support may not necessarily reduce the multiple or informal borrowing of a household but creating irrigation facilities to the operating land may significantly reduce household’s over-indebtedness.


Keywords: Farm investment support, Multiple borrowing, Informal borrowing and Quasi-poission model
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How to cite this article:

Sravanthi Kolla and Raghu Rami Reddy, P. 2020. Effect of Farm Investment Support on Multiple and Informal Borrowing of Farm Households: A Case Study on Rythubandhu Scheme in Telangana, India.Int.J.Curr.Microbiol.App.Sci. 9(12): 2555-2566. doi: https://doi.org/10.20546/ijcmas.2020.912.304