Female Entrepreneurship, Employability and Empowerment: Impact of the Mudra Loan Scheme

Agarwala, Varuna; Maity, Sudarshan; Sahu, Tarak Nath

doi:10.1142/s1084946722500054

Cited by 20 publications

(15 citation statements)

References 44 publications

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“…Gender equality and women's empowerment are key priorities of the government to attain sustainable economic growth and social development (Ambler et al, 2021;Duflo, 2012). The Government of India (GoI) has undertaken several policy measures to create and promote WE by enabling an environment for job opportunities and productive employment such as loans by Micro Units Development and Refinance Agency (MUDRA) for the people at BoP for their comprehensive socioeconomic development and the Women Entrepreneurship Platform (WEP), which assists women entrepreneurs from starting to scaling and expanding their businesses (Agarwala et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Sustainable women empowerment at the bottom of the pyramid through credit access

Pal¹,

Gupta²

2022

EDI

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PurposeThe importance of gender in inclusive economic growth has been a growing area of research. Finance is seen as an efficacious instrument for social inclusion, and sustainable women empowerment (SWE). The lack of credit access often constrains women to scale up. The objective of this study is to examine the attributes influencing the decision of women to access the credit at the bottom of the pyramid (BoP) and the impact of this credit access on social, psychological and economic dimensions of SWE at the BoP in rural India.Design/methodology/approachThe threshold theory of decision-making in the form of logistic regression (LR) is applied here to analyze the influence of four determinants, namely individual household level (IHLA), social attributes (SA), economic attributes (EA) and ownership of documents (OD) on women’s credit access. Likewise, the same method is applied to study the relationship between credit access and three dimensions of SWE.FindingsThe results have revealed a statistically significant relationship between credit access and studied four attributes. Subsequently, a positive relationship has been observed between credit access and dimensions of SWE.Originality/valueThe present study broadly addresses the concern of accessing credit by women at BoP level, which helps the government and policymakers to promote enabling an environment for women entrepreneurship and comprehensive financial policies for the BoP.

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Section: Introductionmentioning

confidence: 99%

Sustainable women empowerment at the bottom of the pyramid through credit access

Pal¹,

Gupta²

2022

EDI

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“…Inferential and Descriptive statistics have been adapted for interpreting the essential information. Agarwala et al [11] highlight the current effort of governments toward presenting new financial systems to help entrepreneurship amongst women that empower them. MUDRA was the novel inventiveness towards offering financial support to women from India without some security.…”

Section: Literature Reviewmentioning

confidence: 99%

Women Entrepreneurship Index Prediction Model with Automated Statistical Analysis

Saikumari¹,

Sunitha²

2023

Intelligent Automation &Amp; Soft Computing

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Recently, gender equality and women's entrepreneurship have gained considerable attention in global economic development. Prior to the design of any policy interventions to increase women's entrepreneurship, it is significant to comprehend the factors motivating women to become entrepreneurs. The non-understanding of the factors can result in the endurance of low living standards and the design of expensive and ineffectual policies. But female involvement in entrepreneurship becomes higher in developing economies compared to developed economies. Women Entrepreneurship Index (WEI) plays a vital role in determining the factors that enable the flourishment of high potential female entrepreneurs which enhances economic welfare and contributes to the economic and social fabric of society. Therefore, it is needed to design an automated and accurate WEI prediction model to improve women's entrepreneurship. In this view, this article develops an automated statistical analysis enabled WEI predictive (ASA-WEIP) model. The proposed ASA-WEIP technique aims to effectually determine the WEI. The proposed ASA-WEIP technique encompasses a series of sub-processes such as pre-processing, WEI prediction, and parameter optimization. For the prediction of WEI, the ASA-WEIP technique makes use of the Deep Belief Network (DBN) model, and the parameter optimization process takes place using Squirrel Search Algorithm (SSA). The performance validation of the ASA-WEIP technique was executed using the benchmark dataset from the Kaggle repository. The experimental outcomes stated the better outcomes of the ASA-WEIP technique over the other existing techniques.

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“…Although having access to microloans allowed individuals to make their own judgements and altered some customary practices, it also made them more vulnerable and indebted. Agarwala et al (2022) studied the influence of Mudra loans on the employment level and empowerment of women in West Bengal and finds mudra loans foster employment opportunities and in turn women feel empowered.…”

Section: Literature Reviewmentioning

confidence: 99%

Transition in Employability and Women Empowerment: Substantiates from Pradhan Mantri Mudra Yojana

Rathee,

Aggarwal

2023

SEDME (Small Enterprises Development, Management & Extensio

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ʻEmployability and Empowermentʼ have played a critical role in shaping society and inspiring people to push limits and achieve new heights. Many actions have been performed to advance female equality and empower women. The Mudra scheme, one of the popular measures for reducing poverty, has the ability to improve women’s status in the current male-dominated culture. Thus, the main aim of the study is to analyse the influence of the PMMY scheme on employability and Women empowerment. The respondents of the current study, which is grounded on ʻprimary dataʼ, are Indian women entrepreneurs in the state of Haryana. The study collected required information using a self-administered interview schedule using a ʻcross-sectional study designʼ using a ʻstratified random sampling technique (disproportionate)ʼ between June 2022 and October 2022, the primary data were gathered from 570 respondents. The study uses Ordered Logistic Regression, Wilcoxon Sign Test and Effect Size test for the analysis. The findings show that credit amount has a big impact on employability. The Wilcoxon signed-rank test results from the study show that there has been a considerable increase in the respondents’ fiscal, societal, and psychosomatic empowerment when compared to the Before-Mudra loan phase.

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Female Entrepreneurship, Employability and Empowerment: Impact of the Mudra Loan Scheme

Cited by 20 publications

References 44 publications

Sustainable women empowerment at the bottom of the pyramid through credit access

Sustainable women empowerment at the bottom of the pyramid through credit access

Women Entrepreneurship Index Prediction Model with Automated Statistical Analysis

Transition in Employability and Women Empowerment: Substantiates from Pradhan Mantri Mudra Yojana

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