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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 |
The women folk are considered the backbone of the nation and better half of the men in almost all spheres of community development. Rural women constitute about 50% of the total rural population. The present study was conducted in Surguja district of Chhattisgarh to know the Participation of rural women in the decision-making process of dairy farming. Data were collected from 120 rural women using a structured interview schedule. 30 women farmers were chosen from each selected village thus constituting a sample size of 120 by simple random method. All of the respondents (100%) had medium participation (46.4to88.2%) as none of the respondents belonged to low or high participation groups in the decision-making process in Dairy farming. Correlation Coefficient between the selected characteristics of the respondents with participation in Dairy farming was also worked out and the value of the correlation coefficient was found out. It is clear from the data that out of all selected 10 variables only 1 variable Annual income was found positive and significantly correlated with Extent of participation of rural women in the Decision-making process in Dairy farming practices. The remaining variables did not indicate any significant relationship with the extent of participation of rural women in the decision-making process in Dairy farming. Path analysis shows that annual income had the highest total effect on the participation of rural women in the decision making process of dairy farming where family type and Social participation has been the second and third passion of total effect on Participation of rural women in the decision-making process of dairy farming respectively. Dairy farming in the study area holds a very good future because certain dairy farming related operations and taking decisions farm women better than male farmers.