Indian Journal of Economics and Development

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An Econometric Analysis of Farmer’s Credit Issues in Andhra Pradesh, India (with Reference to South Coastal Andhra – A Multinomial Logit Regression Model)


Affiliations
1 Department of Statistics, Gayatri Vidya Parishad College for Degree and. P.G. Courses (A), Andhra University, Andhra Pradesh-530017, India
 

Background/ Objectives: In India, the private organizations play exploitive role in farmer’s credit. Farmers approach credit not only for cultivation but also for their family maintenance. In this context, this study makes objectives as to analyse the credit availability from different sources to the farm households and examine which factors influence more the farmers to borrow from moneylenders or commission agents or Input dealers (Non-institutional) alone.

Method/ Statistical Analysis: For collecting the primary data, we employed the stratified multi-stage random sampling. Fifty samples are collected from each village and totally 100 sample respondents for intensive study. Multinomial logistic regression model is employed for analysing the factors influence farmer’s approach to money lenders for their credit in the study area.

Findings: Overall, the study reveals that most of the farmers depend on non-institutional sources rather than the institutional sources. Gross Agriculture Income, Type of ownership, income from other than agriculture and farm size influence the farmers to borrow from non-institutional sources i.e. Money lender.

Application: We recommend for the setup of farmer’s friendly financial institutions like, SHGs, Agri co-operative societies etc. Also to create the awareness on insurance of crop and insurance of farmer as a unit through advertisement campaign at village level and encourage low cost farming viz., Subhash Palekar’s zero budget farming, organic farming etc.


Keywords

Marginal, Small, Medium Farmers, Multinomial Logit, Relative Risk Ratio, STATA.
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  • R. Datta, K.P.M. Sundharan. Indian economy. S. Chand and Company. Ltd., New Delhi. 2009.

  • S. Singh. Magnitude and determinants of indebtedness among farmers in Punjab. Indian Journal of Agricultural Economics. 2014; 69(2), 1-14.

  • D.C. Talule. Agricultural debt waivers and debt relief scheme–2008: what impacts does the package have on rural transformation and beneficiary farm households ‘economy? (A farm household level study of Andhra Pradesh and Maharashtra). Asian Journal of Science and Technology. 2015; 6(04), 1248-1263.

  • K. Shivaji. Agricultural finance by commercial banks. APH Publishing Corporation. 2007

  • C. Bell. Interactions between institutional and informal credit agencies in rural India. The World Bank Economic Review. 1990; 4(3), 297-327.

  • A study on farmer’s perception towards agricultural finance provided by various sectors of banks in Tirunelveli district Tamil Nadu. http://shodhganga.inflibnet.ac.in/bitstream/10603/15715/1/01_title.pdf. Date accessed: 11/2011.

  • A.K. Mishra, U. Mohapatra. Agricultural finance in India- an overview. International Journal of Engineering Sciences & Research Technology. 2017; 6(8), 411-417.

  • K.S. Chhikara, A.S. Kodan. Farmers' indebtedness in Haryana: a study. Journal of Rural Development. 2014; 32(4), 347-365.

  • Y. Venu Gopal Reddy. A note on regionalisation and regional development with reference to multi-level plan process in India. Indian Journal of Regional Science. 1974; 6(1), 57-72.

  • S. Long. Regression models for categorical and limited dependent variables. Sage Publications, New Delhi. 1997; 7, 1-328.


Abstract Views: 249

PDF Views: 118




  • An Econometric Analysis of Farmer’s Credit Issues in Andhra Pradesh, India (with Reference to South Coastal Andhra – A Multinomial Logit Regression Model)

Abstract Views: 249  |  PDF Views: 118

Authors

Srinivasa Rao Pasala
Department of Statistics, Gayatri Vidya Parishad College for Degree and. P.G. Courses (A), Andhra University, Andhra Pradesh-530017, India

Abstract


Background/ Objectives: In India, the private organizations play exploitive role in farmer’s credit. Farmers approach credit not only for cultivation but also for their family maintenance. In this context, this study makes objectives as to analyse the credit availability from different sources to the farm households and examine which factors influence more the farmers to borrow from moneylenders or commission agents or Input dealers (Non-institutional) alone.

Method/ Statistical Analysis: For collecting the primary data, we employed the stratified multi-stage random sampling. Fifty samples are collected from each village and totally 100 sample respondents for intensive study. Multinomial logistic regression model is employed for analysing the factors influence farmer’s approach to money lenders for their credit in the study area.

Findings: Overall, the study reveals that most of the farmers depend on non-institutional sources rather than the institutional sources. Gross Agriculture Income, Type of ownership, income from other than agriculture and farm size influence the farmers to borrow from non-institutional sources i.e. Money lender.

Application: We recommend for the setup of farmer’s friendly financial institutions like, SHGs, Agri co-operative societies etc. Also to create the awareness on insurance of crop and insurance of farmer as a unit through advertisement campaign at village level and encourage low cost farming viz., Subhash Palekar’s zero budget farming, organic farming etc.


Keywords


Marginal, Small, Medium Farmers, Multinomial Logit, Relative Risk Ratio, STATA.

References