Abstract:Micro finance isa facility of providing tiny loans to poor individuals totry to do their own business. India is a developing country andits major portion is below poverty level. Indian society isadditionally discriminated on the grounds of caste and gender. Women don’thave equality with men.
Their participation in family is negligible. They’re notgiven a good treatment. Small financefacility authorized women to possess their own businessentity and earn for her family. Once women are self-dependentand move out from four walls of their houses to earn their livelihood, they’retaken seriously by alternative members of the family. The purpose of thisresearch paper is to focus on impact of micro finance on women decision making.Keywords:Micro finance, women decisionmaking etc.Introduction:Microfinanceis a thought that’s serving to the poor to avail of and build opportunities foreconomic process.
In India, microfinance has fuelled the efforts of ruraldevelopment, women direction and wealth generation by providing tiny scalesavings, credit, insurance and alternative money services to poor and lowfinancial gain households. Microfinance therefore is a method to empower thepoor and provides a valuable tool to assist the economic development method. Micro-Financeservices have heterogeneous over time into areas like small savings, smallinsurance and a number of other non-financial services. Women,so could be a powerful a part of social and economic setup of the country.
Within the ancient amount, they were treated as builds of the society and thatthey ran the family with success. Currently in India, Women’s contribution tothe commercial sector is chop-chop growing in flat basis. Government encouragesthe women as freelance and self-sustainable persons within the society. Womendirection through aid cluster constitutes a rising and quick growing trendtowards social and economic development of the state.
Self help groups (SHGs)square measure one among the innovative and far required schemes to acceleratethe women entrepreneurship. LiteratureReview:AhmadM.A. (1999) in his work on “Thrift Groups in Assam” stated, SHGs have been performed doing well inNorthern and Eastern states of India. He also highlighted, women members havetaken necessary steps in the management for achieving their privileges and tomark their complaints boldly.Gurumoorthy(2000) in study ‘Self help groups empower rural women’ maintained that SHG (self help group) is a viablealternative to achieve the objectives of rural development and to get communityparticipation in all rural development programs.
SHG is a viable organizationalset up to disburse micro credit to the rural women for the purpose of makingthem entrepreneur and encouraging them to enter into entrepreneurialactivities. Credit needs of the rural women can be fulfilled wholesomelythrough the SHGs. The women led SHGs have successfully demonstrated how tomobilize and manage thrift, appraise credit needs, maintain linkages with thebanks and enforce financial self discipline. SHG?s enhance the equality ofstatus of women as participants, decision-makers and beneficiaries in thedemocratic, economic and social and cultural spheres of life. They encouragewomen to take active part in the socio-economic progress of the society.
Pattanaik (2003) in herstudy ‘Empowerment throughSHG: A Case Study of Gajapati District’ reveals thatSHGs are continuously striving for a better future for tribal women asparticipants, decision-makers and beneficiaries in the domestic, economic,social and cultural spheres of life. But due to certain constraints like genderinequality, exploitation, women torture for which various Self Help Groups arenot organised properly and effectively. Narasaiah (2004) in herstudy ‘Womenand Microcredit, mentioned that the change in women’s contribution tosociety is one of the striking phenomena of the late twentieth century.According to him micro-credit plays an important role in empowering women.Giving women the opportunity to realise their potential in all spheres ofsociety is increasingly important. Cheston & Kuhn (2004) intheir study ‘Empowering Womenthrough Microfinance’ concluded that micro-finance programmes have beenvery successful in reaching women.
This gives micro-finance institutions anextraordinary opportunity to act intentionally to empower poor women and tominimise the potentially negative impacts some women experiences. Rationale:Thisanalysis paper contributed to the micro-finance and to know the authorizationof ladies. The analysis helps to review the women decision making. The explanationof the study is to explore the result of small finance and the way it helps inincrease in women decision making ability.
Objectives:To study the impact of micro finance on womendecision making.Researchmethodology:The study wasexploratory in nature mainly based on primary data to explore women decisionmaking power of Madhya Pradesh. Survey method was used to collect the primarydata of this empirical study. The sample of the study constituted womenself-help groups who are doing business by using micro finance.
Random and purposivesampling techniques were used to select the respondents. Self-designedQuestionnaire was used to collect primary data of the study. 250 self-helpgroups were studied. Resultsand Discussion: Table 1: Descriptive Statistics on Micro finance facility & decision making Mean Std.
Deviation N decision making 15.0160 2.97374 250 Micro finance facility 7.1000 2.06180 250 Table 2: Correlations on Micro finance facility & decision making decision making Micro finance facility Pearson Correlation decision making 1.000 .383 Micro finance facility .383 1.
000 Sig. (1-tailed) decision making . .000 Micro finance facility .000 . N decision making 250 250 Micro finance facility 250 250 Abovetable shows the correlations and it is evident from this table that Pearson’scorrelation coefficient between Micro finance facility and decision making is0.383 which is significant since the significant value (p- value) 0.000 is lessthan 0.
05. Therefore, we may conclude that there is significant associationbetween Micro finance facility and decision making. Furthermore, since thevalue of correlation coefficient r suggests a moderate positive correlation, wecan use a regression analysis to Model the relationship between the variables. Table 3: Model Summary on Micro finance facility & decision making Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 Sig.
F Change 1 .383a .147 .143 2.75261 .147 42.612 1 248 .000 a.
Predictors: (Constant), Micro finance facility b. Dependent Variable: decision making Over all model summary shows the value of multiple correlationcoefficient R=0.383, it is the linearcorrelation coefficient between observed and model predicted values of thedependent variable, Its large value indicates a strong relationship. R2,the coefficient of determination is the squared value of the multiplecorrelation coefficients.
Adjusted R2=0.147, R2 change isalso 0.143 and these values are significant which shows that overall strengthof association is noteworthy. The coefficient of determination R2 is0.147; therefore, 14.
7% of the variation in decision making of women is explained by Microfinance facility. Table 4: ANOVA on Micro finance facility & decision making Model Sum of Squares df Mean Square F Sig. 1 Regression 322.
869 1 322.869 42.612 .000b Residual 1879.
067 248 7.577 Total 2201.936 249 a. Dependent Variable: decision making b. Predictors: (Constant), Micro finance facility Table 5: Coefficients on Micro finance facility & decision making Model Unstandardized Coefficients Standardized Coefficients t Sig. 95.
0% Confidence Interval for B B Std. Error Beta Lower Bound Upper Bound 1 (Constant) 11.095 .625 17.
740 .000 9.863 12.327 Micro finance facility .
552 .085 .383 6.528 .
000 .386 .719 a.
Dependent Variable: decision making Figure 1: Histogramon Micro financefacility & decision making ANOVA is used to exhibit model’s ability to explain any variation in thedependent variable. ANOVA table exhibits that the hypothesis that all modelcoefficients are 0 is rejected at 1% as well as 5% level of significance whichmeans that the model coefficients differ significantly from zero. In otherwords we can say that there exists enough evidence to conclude that slope ofpopulation regression line is not zero and hence, Microfinance facility is useful as predictorof decision making.From the table of coefficients, the regression equation can be obtainedasDecision Making=(Y) 11.
095+ .552 (X1)*MicroFinanceThe normal probability plot is obtained to test the assumption about thenormality of residuals and it appears that the residuals are approximatelynormally distributed. Thus the assumptions for regression analysis appear to bemet.
The above finding onthe above hypothesis reveals that Micro finance facility has significantpositive association with decision making at .000 so null hypothesis is notsupported.Findings:The above resultsconclude that micro finance has a positive impact on women decision making. Theresults show that null hypothesis is rejected because p-value is 0.000 which isless than 0.05. The correlation between micro finance and women participationis 0.383 which is significant at 5% level of significance.
The graph alsorepresents normal distribution data. Therefore, the assumptions are also met. Conclusion:The study concludesthat micro finance facility had contributed positively in women decisionmaking. When women do not work, they are less considered and doubted in theirdecisions because they are not exposed to society.
When they work and move outfrom their houses, they develop a sense of understanding and can better judgethe scenarios hence, improving decision making.