Journal of Experimental Agriculture International

The study was carried out in the Bidar district of Kalyana Karnataka where a people's migration is big. Three talukas were chosen based on the highest labour force from the district. In specific, they were Bidar, Bhalki, and Basavakalyan. In random selection, four villages from each taluka were selected. The primary data was taken via the personal interview process from a total of 240 samples randomly from every taluka for the experiment, with 80 samples. The gravity model results revealed that the rate of migration and volume of migration decreases as the distance to the destination increases.  A logistic regression model was fitted for Bidar district migration results for three talukas viz. Basavakalyan, Bhalki and Bidar. The results displayed that with the odd ratios more than unit, per capita land holding was negatively significant, so we can interpret that lower per capita land holding caused more migration. The other features viz., family size, with unit or less than unit value for odd ratio, it was positively significant for some villages and negative for others. The positive significance displayed that the migration was more affected when the family size was high, the other factor was education, the model disclosed that educates migrate more than illiterates do due to underemployment. Income including migrants' income (IMI) had a positive influence and income excluding migrants’ income (EMI) had a negative influence on migration. This tells us that for having a high income for a family, any member of the family should migrate. Both Wilcoxon’s signed rank and t-tests displayed that for better income and lifestyle of a people they should migrate because the migrated people situation is upgraded in this study.