STATISTICAL STUDY OF DISTRIBUTION OF NON-FARM INCOME IN CAUVERY COMMAND AREA OF KARNATAKA
Loading...
Date
41163
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Agricultural Sciences GKVK, Bangalore
Abstract
Non-farm activities play an increasingly important role in
sustainable development, poverty reduction and employment generation
in the rural area. There is need to identify the factors which are
responsible in influencing the income from non-farm activity. Statistical
distribution, Multivariate multiple regression, Non parametric regression,
conditional distribution has been carried out to find the effect of
explanatory variables on non-farm income and investment. Study shows
that distributions of these variables are asymmetric and positively
skewed and only log normal distribution fitted well for all the variables,
Risk analysis for non-farm income showed that high risk income is for
farmers with less than Rs.12,000 for upper reach, less than Rs. 14,400
for mid reach and less than Rs.16,000 for lower reach. Parametric
regression analysis revealed that farm income, number of working
adults, education and number of persons employed influence non-farm
income. In case of investment significant influence is found by education,
farm income age and numbers of persons employed. Projection pursuit
regression showed that Non-farm income is influenced by Education,
Number of persons employed, farm income, for investment number of
persons employed, education, and family size. Relative frequency is
maximum for nonfarm income of less than Rs 60,000 across all
categories of all annual farm income. There is a steady decrease in
relative frequency with increase in nonfarm income for all categories of
farm income.