Across the world, developing economies are seeking effective mechanisms to eradicate poverty and ensure the participation of every citizen in economic growth and socio-economic development. In India, the government has a long-standing commitment to expanding financial access to marginalized and underprivileged populations, particularly in rural areas, with the objective of fostering inclusive and sustainable development. Providing banking facilities and financial services to financially excluded communities is essential for building a strong and resilient economy. Several barriers, such as the lack of identity proof, inadequate infrastructure, and the geographical distance between banks and residential areas, continue to contribute significantly to financial exclusion. Over the years, the Government of India has implemented various initiatives to address these challenges. The nationalization of major private sector banks in 1969 marked a critical phase in reducing economic exclusion. Subsequently, the expansion of rural bank branches led to public sector banks accounting for nearly 56 percent of total rural branches by 2022. Furthermore, microfinance initiatives through the formation of Self-Help Groups (SHGs) have played a vital role in empowering economically disadvantaged communities. The implementation of the Pradhan Mantri Jan Dhan Yojana (PMJDY) significantly enhanced financial inclusion by promoting bank account ownership. Since its inception, more than 46.25 crore beneficiaries have been brought into the formal banking system, with deposits totaling ?1,73,954 crores. In addition, the Reserve Bank of India introduced the Kisan Credit Card scheme, benefiting nearly 76 million farmers by providing them with timely access to institutional credit. The Indian Council for Research on International Economic Relations (ICRIER) has also developed a Financial Inclusion Index to assess the reach of banking services, in which India ranked 38th in the availability and usage dimensions. Despite the positive outcomes of these initiatives, a substantial portion of the population remains outside the formal financial system. Recognizing this gap, the Reserve Bank of India continues to emphasize universal financial inclusion as a key driver of inclusive growth. Although India has achieved impressive economic growth over the past two decades, persistent inequalities continue to undermine social cohesion and may constrain long-term development (Zhuang & Hasan, 2008). Sustainable growth must therefore be inclusive and broad-based, encompassing all sectors and segments of society (George, 2011). Inclusive finance and socio-economic development contribute significantly to economic growth, improvement in living standards, poverty reduction, income equality, agricultural development, and employment generation (Deutscher & Jacquet, 2009). Consequently, financial inclusion has emerged as a central theme in the global development agenda. It serves as a foundation for inclusive growth and sustainable development (Sadakkadulla, 2007; Subbarao, 2010). Financial inclusion is commonly defined as ensuring access to affordable, timely, and adequate financial services, particularly for vulnerable and disadvantaged groups. In recent years, developing countries have increasingly prioritized financial inclusion and socio-economic development as key policy objectives. Numerous initiatives have been undertaken to enhance public awareness and participation in formal financial systems. Ultimately, inclusive growth and sustainable socio-economic development can be achieved by extending financial services and promoting financial literacy among financially excluded populations, especially in rural areas.
REVIEW OF LITERATURE
Asian Development Bank (2000), in its report “Finance for the Poor: Microfinance Development Strategy,” emphasized that in the absence of an inclusive formal financial system, poor individuals and small entrepreneurs are compelled to rely on informal sources of finance. Although such sources provide timely and easy access, they impose high interest burdens. The study highlighted that financial inclusion helps reduce poverty and inequality by enabling access to credit, savings, and insurance facilities, which support investment and consumption smoothing. Crafts (2002), in “The Human Development Index 1870-1999: Some Revised Estimates,” analyzed long-term trends in human development. The study concluded that the Human Development Index presents an optimistic view of twentieth-century economic development, particularly emphasising improvements in life expectancy as a major achievement contributing to human welfare. Littlefield et al. (2003), in their study “Is Microfinance an Effective Strategy to Reach the Millennium Development Goals?” examined the impact of microfinance on development outcomes. The findings revealed that access to financial services positively influences nutrition, health, education, and women’s status within households, thereby contributing to poverty alleviation. Treasury (2004), in the report “Promoting Financial Inclusion,” analyzed both demand-side and supply-side factors responsible for financial exclusion. Demand-side factors were described as self-exclusion, while supply-side factors included inadequate banking services and lack of financial guidance. The report also outlined various government initiatives aimed at reducing exclusion. Leeladhar (2005), in “Taking Banking Services to the Common Man – Financial Inclusion,” emphasized the need for banks to adopt innovative strategies to expand their outreach. The study recommended collaboration with microfinance institutions and local communities and highlighted the importance of no-frills accounts and technological innovations in extending banking services to remote areas. Mohan (2006), in his article “Economic Growth, Financial Deepening, and Financial Inclusion,” examined the relationship between financial exclusion and economic growth. The study stressed the importance of financial deepening and advocated the provision of affordable, secure, and accessible financial products such as savings accounts, credit, insurance, and remittance facilities to strengthen inclusion and enhance credit delivery. Agarwal (2007), in “100 Percent Financial Inclusion: A Challenging Task Ahead,” analyzed the status of financial inclusion in India. The study found significant variations among states in bank account ownership. It also observed that while deposit shares declined in rural and semi-urban areas, metropolitan regions witnessed continuous growth. The unequal distribution of credit indicated banks’ preference for high-potential regions, leading to the exclusion of poorer sections. Kumar, Singh, and Kumar (2007), in their study “Trends in Rural Finance: Performance of Rural Credit and Factors Affecting the Choice of Credit Sources,” highlighted regional and household disparities in credit flow. The study revealed that less educated and poor households were largely excluded from institutional credit. It recommended simplifying loan procedures to improve access for marginalized groups. Chelliah and Shanmugam (2001), in “Some Aspects of Inter-District Disparities in Tamil Nadu,” analyzed income and development disparities among districts in Tamil Nadu. The study revealed significant inequalities in income and human development. Income inequality was found to be higher than disparities in human development, with low agricultural productivity and social backwardness identified as major causes. Kauhal (2007), in “Performance of Women’s Self-Help Groups in District Moradabad, Uttar Pradesh,” examined the relationship between socio-economic characteristics and group processes among SHG members. Based on a sample of 160 respondents, the study found that group processes were positively related to education, participation, trust, and cohesiveness. Participation in SHGs enhanced women’s self-confidence, empowerment, and capacity-building abilities.
Statement of the Problem
India has made significant progress in promoting financial inclusion through various government policies, regulatory reforms, and institutional initiatives. Programs such as the expansion of rural banking networks, promotion of self-help groups, and implementation of financial inclusion schemes have contributed substantially to improving access to formal financial services. Despite these efforts, a considerable proportion of the adult population, particularly in rural and tribal areas, continues to remain outside the formal banking system. The vast size of the population, regional disparities, and pronounced differences between urban and rural regions have posed major challenges to achieving universal financial inclusion. Limited physical access to banking institutions, inadequate infrastructure, low levels of financial literacy, lack of proper identification documents, and socio-cultural constraints further restrict the participation of marginalized communities in formal financial systems. In addition, the high cost of service delivery and the difficulty of establishing sustainable, efficient banking mechanisms in remote, geographically isolated areas have exacerbated the problem. As a result, many low-income households continue to depend on informal sources of finance, which often involve higher risks and exploitative interest rates. Access to affordable, reliable, and timely financial services is widely recognized as a crucial component of socio-economic development. Financial inclusion enables individuals to save securely, access credit for productive activities, manage financial risks, and invest in education, health, and livelihood opportunities. Consequently, greater emphasis has been placed on extending financial services to economically weaker sections of society. Inclusive finance serves as an effective instrument in addressing the multidimensional nature of poverty by enhancing income-generating capacities, promoting social empowerment, and improving overall living standards (Nalini & Mariappan, 2012). However, existing financial inclusion initiatives have not been equally effective across all regions and social groups, particularly among rural and tribal women, who often face additional barriers related to education, mobility, and decision-making power. There is a need for systematic empirical investigation to assess the actual impact of banking schemes and financial inclusion programs on their socio-economic development. Understanding the extent to which these initiatives have improved financial access, economic participation, and quality of life is essential for designing more inclusive, efficient, and sustainable policies. This study, therefore, seeks to examine the effectiveness of banking schemes in promoting socio-economic development among rural and tribal women in Tamil Nadu.
Objective and Methodology of the Study
Empowering Rural and Tribal Women in Tamil Nadu: A Regression Analysis of Banking Schemes and Socio-Economic Development. The research is mainly based on rural and tribal areas and will be collected from sample respondents through a survey, using the questionnaire developed for the purpose. A well-structured interview schedule questionnaire was designed and distributed to 384 respondents from selected areas to gather the required data for this research. Before data collection, a pilot study was undertaken, and 80 questionnaires were distributed to respondents from rural and tribal districts in Tamil Nadu. Based on the responses obtained, certain modifications were made to that questionnaire, and the final instrument was developed and distributed, and the data from the sample respondents were collated. The percentage analysis is used for studying the demographic profile. The study comprises rural and tribal women from rural and tribal districts in Tamil Nadu. The rural and tribal districts are Nilgiris, Krishnagiri, Dharmapuri, Ariyalur, Viluppuram, Vellore, Cuddalore, and Tiruvallur. The multistage random sampling method was used to determine the sample size using the Krejcie and Morgan Table. The Limitations are confined only to the eight rural districts; hence, the results cannot be generalized to the other remote and hill areas.
Table 1: List of banking variables used for factor analysis of exogenous variables of inclusive finance
|
Access |
|
|
X1 |
The bank location is near your place |
|
X2 |
ATM service is available near your place |
|
X3 |
ATM is easy to use |
|
X4 |
Bank is easily approachable |
|
X5 |
Banking services are accessible to old age people |
|
X6 |
Bank employees promptly redress your problems |
|
X7 |
In an emergency, the approach of the Bank is easy |
|
X8 |
Useful information can be accessed easily |
|
X9 |
Bank employees provide sufficient bank information |
|
X10 |
The overall access to banking services satisfied you |
|
X11 |
The bank manager responds to your queries |
|
X12 |
Sufficient bank employees are needed to meet customer requirements |
|
X13 |
The bank employees are easily accessible when you needed |
|
Availability |
|
|
X14 |
The loan is available easily |
|
X15 |
Good saving schemes are available for rural peoples |
|
X16 |
Self-help group loans are available |
|
X17 |
The Bank provides insurance services |
|
X18 |
The Bank provides a debit card facility |
|
X19 |
Locker facility is Available |
|
X20 |
The loan is available within the time limit |
|
X21 |
A new passbook is issued when customers ask |
|
X22 |
The procedure for getting a loan available is easy |
|
X23 |
Help desk/ assisting people help to fill the deposit/withdrawal challans |
|
X24 |
Banking infrastructure is there as per customer requirements |
|
X25 |
You are satisfied with the banking services available to you |
|
X26 |
Banks are collecting hidden charges |
|
X27 |
New interest rate information provided by banks on time |
|
X28 |
Updating new banking schemes are available to customers |
|
X29 |
Fieldworkers talk about different banking schemes that are helpful to rural people. |
|
X30 |
Employees are explaining about new schemes available to rural peoples |
|
Usage |
|
|
X31 |
Saving money frequently |
|
X33 |
Withdraw money frequently |
|
X33 |
Using the credit facilities of the Bank |
|
X34 |
Insurance premiums paid through banks |
|
X35 |
Loan payments are made through the Bank |
|
X36 |
Depositing money at the Bank frequently |
|
X37 |
Using new banking schemes |
|
X38 |
Regularly vising the bank branches |
|
X39 |
Interest on credit is low compared to outside lenders |
Reliability Statistics and Explanatory Factor Analysis for Exogenous Variables.
Table 2: Reliability Analysis
|
Reliability analysis of variables of factor analysis |
||
|
Cronbach’s Alpha Vale |
Cronbach's alpha value based on standardized items |
No. of Items |
|
0.864 |
0.793 |
39 |
Source: Primary Data
Table 2 shows Cronbach's alpha coefficient for reliability analysis of the inclusive finance variables. The reliability analysis, which reflected the exogenous variables building the elements of financial inclusion, yielded 0.864 for 39 items after excluding any item with a value less than 0.50. Additionally, the items affecting the factors and consistency of the scale were eliminated through item-wise analysis using metrics such as "scale mean if the item deleted; scale variance if the item deleted; squared multiple correlations; corrected item-total correlation; and the corrected alpha value if the item deleted."
Table 3: Result of Kaiser-Meyer-Olkin (KMO) and Bartlett's Test of Sphericity
|
KMO measure of sampling adequacy |
0.834 |
|
|
Bartlett’s Test of Sphericity |
(Approx. Chi-Squire) |
3.017E3 |
|
|
Df |
173 |
|
Sig. |
0.000* |
|
Source: Primary Data*Indicates a 5percent level of significance
Table 3 reveals the significant link between the variables: Bartlett's Test of Sphericity and Kaiser-Meyer-Olkin measures of sample adequacy (KMO). The data's statistical significance is assessed using Bartlett's test of sphericity. The test statistic's value and the corresponding significance level below 0.05 demonstrate that the variables have a strong association. A KMO rating of sampling adequacy of 0.834 indicates that factor analysis might be regarded as a suitable method for data analysis. Furthermore, the chi-square value is substantial (p<0.001), indicating that the data is suitable for factor analysis.
Table 4: Factor analysis results for exogenous variables
|
Variables |
Components |
Communalities |
||||||
|
Accessing of Banking Services and Schemes |
|
|||||||
|
|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
|
|
X1 |
0.789 |
|
|
|
|
|
|
0.673 |
|
X2 |
0.756 |
|
|
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Basuvaraj M.*
10.5281/zenodo.18927844