Untitled
Loading...
Files
Date
2014
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ACHARYA N.G. RANGA AGRICULTURAL UNIVERSITY
Abstract
Women constitute 48.52 per cent of the country’s total population as per the census 2011. Women exclusively accounted for 586.5 million constituting 48.52 percent of the country’s population. The origin of Self Help Groups can be traced to 1976, when Prof. Mohammed Yunus of Bangladesh started women’s group in Bangladesh. He began experimenting with micro-credit and women Self Help Groups. The strategy made a quiet revolution in Bangladesh; in poverty eradication by empowering the poor women. This group later developed into the Bangladesh Grameena Bank. In India, the pioneer in this field was Self Employed Women’s Association (SEWA).
The objective of Self Help Groups is to improve economic health, education and social status of rural women by providing the required income generating activities to earn their livelihood.
Maharashtra state and Thane district have been selected. Two Talukas/Tehsils and Six villages were chosen by random sampling a total of 90 respondents were chosen from the selected Women Self Help Groups, one each from the six villages selected randomly.
The study was conducted by following an Ex-Post-Facto Research Design. The data was collected by personal interview method through pretested structured interview schedule. Appropriate statistical procedures such as Mean, Standard Deviation, Frequency, Percentages, Correlation and Multiple Linear Regression Analysis were employed to analyze and interpret the data.
Findings of the study indicated that majority of the members of the Women Self Help Groups were middle Aged (52.22%), with High School Level of Education (34.45%), low Annual Income (73.34%), Married (87.78%), medium Family Size (68.89%) and Nuclear Family Type (53.33%), medium scale Enterprise (56.67%), low Net Returns (62.22%), medium Loan Borrowing Behaviour (70.00%), medium Incubation Period (50.00%), medium Risk Orientation (57.78%), medium Market Orientation (64.44%), medium Management Orientation (64.45%), medium Level of Capacity Building (78.89%) and medium Level of Empowerment (65.65%).
Out of the twelve selected Personal and Socio-Economic characteristics, Age, Education, Annual income, Marital Status, Nature of Family, Enterprise, Loan Borrowing Behaviour, Risk Orientation, Market Orientation, Management Orientation were positively significant and the remaining variables, Net Returns and Incubation Period showed non-significant relation with Level of Capacity Building at 0.01 level of probability.
Age, Education, Annual Income and Market Orientation significantly contributed at 0.05 level of probability towards Level of Capacity Building.
Out of the twelve selected Personal and Socio-Economic characteristics, Age, Education, Annual income, Marital Status, Nature of Family, Enterprise, Loan Borrowing Behaviour, Risk Orientation, Market Orientation, Management Orientation were positively significant and the remaining variables Net Returns and Incubation Period showed non-significant relation with Level of Empowerment at 0.01 level of probability.
Age, Education, Annual Income, Net Returns and Market Orientation significantly contributed at 0.05 level of probability towards Level of Empowerment.
Major constraints identified were inadequate financial support, training programmes, supervision and guidance by organizational officials, nonrelevancy of technical knowledge and inadequate co-operation among the members. Important suggestions were adequate financial support, conduct of proper training programmes, supervision by the organizational officials and making availability of credit at low interest rate
Description
Keywords
Citation
213p.